Submission
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View Guidelines for submitting a symposium proposal at ICCES2023
View Guidelines for submitting a symposium proposal at ICCES2023
Symposium proposals should be submitted in English via the Conference website. You could also send the proposal (including the suggested title, a brief description, and the organizers’ information) to ICCES Secretariat
The chair will be in charge of corresponding, call for papers, instructing speakers, and will act as host and timekeeper during the session. The chair is also expected to assure speakers to present at the ICCES 2023, including payment of registration fees.
The structure of the symposium is not fixed. Generally, for contributed papers, each will be of a 15-minute presentation. For student papers, these will be of 10-minute presentation. Enough time for discussion should be included.
The deadline for symposium proposal submission is September 30, 2022. Proposals will be reviewed and notification for acceptance will be sent in around two weeks after the form has been submitted.
If you have any questions or need any assistance, please contact the ICCES Secretariat.
※: Symposium of Meshless, Mesh Reduction and Other Novel Computational Methods
※: Symposium of Meshless, Mesh Reduction and Other Novel Computational Methods
Corresponding Organizer
Leiting Dong
Professor & Deputy Dean,
School of Aeronautic Science & Engineering,
Beihang University, Beijing, China
Leiting Dong
Professor & Deputy Dean,
School of Aeronautic Science & Engineering,
Beihang University, Beijing, China
Summary
Numerical simulation methods have been increasingly used as important and powerful tools for solving science and engineering problems during the past decades, thanks to the rapid development of advanced algorithms and computer technology. Nowadays, as the problems to be solved are becoming larger in scale and more complex in mathematical descriptions, conventional mesh-based finite element and finite volume methods have encountered significant difficulties. Alternatively, a large number of meshless and mesh/dimension reduction methods have been developed.
Besides avoiding or reducing the domain discretization using volume elements, these methods have exhibited advantages for various types of problems. To name a few, meshless methods are very useful for solving large deformation problems, boundary element method is advantageous for the modeling of physics in infinitely-large domains and problems involving degenerate/moving boundaries, and particle methods are powerful in solving extreme fluid dynamic problems. Due to their unique features, these methods have attracted great attention and been applied successfully in many fields of science and engineering, e.g. fluid dynamics, fracture mechanics, electromagnetic waves, etc.
The objective of this mini-symposium is to bring together worldwide experts working on meshless, mesh/dimension reduction methods, and other novel computational methods, to share state-of-the-art research contributions in the relevant field and exchange ideas on the development as well as the application of these methods. Topics of interest for this mini-symposium include but are not restricted to:
- Boundary element method
- Element-free Galerkin method
- Meshless local Petrov Galerkin method
- Smoothed particle hydrodynamics
- Material point method
- Boundary-type meshless methods
- Generalized finite difference method
- Collocation meshless method
- Peridynamics
- Fragile Points Method
- Isogeometric Method
- Combination of different methods
- Advanced implementation of mesh reduction methods
- Application of mesh reduction methods in realistic applications
Keywords: Meshless Method; Boundary Element Method; Particle Method; Mesh/Dimensional Reduction Methods
Co-Chairs:
Satya N. Atluri
Professor, Texas Tech University, Lubbock, USA
Zhuojia Fu
Professor, Hohai University, Nanjing, China
Zhuojia Fu
Professor, Hohai University, Nanjing, China
Alexander Cheng
Professor, University of Mississippi, Mississippi, USA
Jurica Soric
Professor, University of Zagreb, Zagreb, Croatia
Professor, University of Zagreb, Zagreb, Croatia
Demosthenes Polyzos
Professor, University of Patras, Patras, Greece
Professor, University of Patras, Patras, Greece
Božidar Šarler
Professor, University of Ljubljana, Ljubljana, Slovenia
Professor, University of Ljubljana, Ljubljana, Slovenia
António Tadeu
Professor, University of Coimbra, Coimbra, Portugal
Professor, University of Coimbra, Coimbra, Portugal
Vladimír Sládek
Professor, Slovak Academy of Sciences, Bratislava, Slovak
Professor, Slovak Academy of Sciences, Bratislava, Slovak
Benny YC HON
Professor, City University of Hong Kong, HongKong, China
Professor, City University of Hong Kong, HongKong, China
Pihua Wen
Professor, Nanchang University, JiangXi, China
Professor, Nanchang University, JiangXi, China
Nguyen Xuan Hung
Professor, HUTECH University, Ho Chi Minh City, Vietnam
Professor, HUTECH University, Ho Chi Minh City, Vietnam
Sundararajan Natarajan
Associate Professor, Indian Institute of Technology, Madras, India
Associate Professor, Indian Institute of Technology, Madras, India
Mingjing Li
Associate Professor, Beihang University, Beijing, China
Associate Professor, Beihang University, Beijing, China
Saeid Abbasbandy
Professor, Imam Khomeini International University, Qazvin, Iran
Professor, Imam Khomeini International University, Qazvin, Iran
Dr. Konstantinos A. Mountris
University College London, UK
University College London, UK
S1: Multiphysics Problem in Unconventional Reservoirs
S1: Multiphysics Problem in Unconventional Reservoirs
The topic is related to multiphysics problem in unconventional reservoirs, such as hydraulic fracturing simulation, fluid flow and heat transfer in fractured reservoirs, proppant flow in hydraulic fractures, and multiphase flow of oil, gas and water in porous media.
Chairs:
| Daobing Wang Assistant Professor, Beijing Institute of Petrochemical Technology, China Hai Sun Professor, China University of Petroleum (East China), China Wenchao Liu Associate Professor, University of Science and Technology Beijing, China |
S2: Isogeometric Analysis-based Design Optimization Methods and Applications
S2: Isogeometric Analysis-based Design Optimization Methods and Applications
Isogeometric analysis aims to integrate CAD (computer-aided design) and CAE (computer-aided engineering) in a unified mathematical expression framework, which can combine geometric modelling, structural analysis, and design, and provides a new choice and opportunity for structural design optimization. Potential topics for submissions include but are not limited to:
1. Isogeometric analysis-based size and shape optimization
2. Isogeometric analysis-based topology optimization
3. Isogeometric analysis-based design of composite structure
4. Isogeometric analysis-based design of metamaterials
5. IGA based CAD/CAE integration
6. Automatic model generation for isogeometric analysis
7. High-efficient isogeometric analysis/isogeometric structural optimization
8. Numerical implementations and software codes
1. Isogeometric analysis-based size and shape optimization
2. Isogeometric analysis-based topology optimization
3. Isogeometric analysis-based design of composite structure
4. Isogeometric analysis-based design of metamaterials
5. IGA based CAD/CAE integration
6. Automatic model generation for isogeometric analysis
7. High-efficient isogeometric analysis/isogeometric structural optimization
8. Numerical implementations and software codes
Chairs:
| Yingjun Wang
Associate Professor, School of Mechanical & Automotive Engineering, South China University of Technology, China Mi Xiao Professor, School of Mechanical Science & Engineering, Huazhong University of Science and Technology, China Hongliang Liu Associate Professor, College of Aerospace Engineering, Shenyang Aerospace University, China Zhenpei Wang Scientist, Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore Zhaohui Xia Assistant Professor, School of Mechanical Science & Engineering, Huazhong University of Science and Technology, China |
S3: Advances in Modeling and Simulation of Complex Heat Transfer and Fluid Flow
S3: Advances in Modeling and Simulation of Complex Heat Transfer and Fluid Flow
Heat transfer and fluid flow are fundamental phenomena in nature and engineering. Many aspects in production and daily life are closely related to heat transfer and fluid flow processes. Modeling and simulation of heat transfer and fluid flow are crucial for a wide range of scientific and industrial applications at various spatial and temporal scales, with increased interests in recent years.
Along with the development of computer industry and the advancement of numerical methods, significant advances have been witnessed in modeling and simulation of heat transfer and fluid flow in past decades. Solid foundation in both hardware and software has been established to study the processes because of its importance in reducing production costs, discovering new phenomena and developing new technologies, etc. However, accurate modeling and efficient, robust simulation of complex heat transfer and fluid flow still remain challenging. Multi-disciplinary research effort is a clear and general trend for the modeling and simulation of heat transfer and fluid flow, such as ‘multi’-scale, ‘multi’-modeling, advanced ‘multi’-algorithms, ‘multi’-physics, heterogeneous parallel computing with ‘multi’-hardware, ‘multi’-application, etc.
The proposed symposium aims to bring together researchers to highlight the current developments of heat transfer and fluid flow both in theory and computational methods, to exchange the latest research ideas, and to promote further collaborations in the community. We invite investigators to contribute to this symposium with original research articles/abstracts as well as comprehensive review articles addressing the recent advances and/or challenges in mathematical and numerical modeling, algorithm, and computation of complex heat transfer and fluid flow. Only the influential work will be considered in this symposium.
Potential topics of this symposium mainly include, but are not limited to
•Advanced physical models of complex heat transfer and fluid flow
•Mesh adaptation and mesh generation methods
•Advanced discretization schemes
•Fast solvers and high-performance computation
•Model reduction method
•Molecular simulation and Lattice Boltzmann method
•Finite difference method, finite volume method, and finite element method
•Multiscale and multiphysics modeling and simulation
•Turbulence, turbulent drag reduction
•Single/multiphase flow and heat transfer
•Multicomponent flow and transfer
•Micro-channel flow and heat transfer
•Nano fluid flow and heat transfer
•Viscoelastic fluid flow and heat transfer
•Inverse modeling of heat transfer and fluid flow
•Stochastic process in heat transfer and fluid flow
•Heat transfer and fluid flow in porous media
•Benchmark solution, error estimates, and uncertainty quantification
•Multi-applications of heat transfer and fluid flow processes, e.g., enhanced heat transfer in micro-channel, hot dry rock, hydrogen storage and transportation, etc.
Along with the development of computer industry and the advancement of numerical methods, significant advances have been witnessed in modeling and simulation of heat transfer and fluid flow in past decades. Solid foundation in both hardware and software has been established to study the processes because of its importance in reducing production costs, discovering new phenomena and developing new technologies, etc. However, accurate modeling and efficient, robust simulation of complex heat transfer and fluid flow still remain challenging. Multi-disciplinary research effort is a clear and general trend for the modeling and simulation of heat transfer and fluid flow, such as ‘multi’-scale, ‘multi’-modeling, advanced ‘multi’-algorithms, ‘multi’-physics, heterogeneous parallel computing with ‘multi’-hardware, ‘multi’-application, etc.
The proposed symposium aims to bring together researchers to highlight the current developments of heat transfer and fluid flow both in theory and computational methods, to exchange the latest research ideas, and to promote further collaborations in the community. We invite investigators to contribute to this symposium with original research articles/abstracts as well as comprehensive review articles addressing the recent advances and/or challenges in mathematical and numerical modeling, algorithm, and computation of complex heat transfer and fluid flow. Only the influential work will be considered in this symposium.
Potential topics of this symposium mainly include, but are not limited to
•Advanced physical models of complex heat transfer and fluid flow
•Mesh adaptation and mesh generation methods
•Advanced discretization schemes
•Fast solvers and high-performance computation
•Model reduction method
•Molecular simulation and Lattice Boltzmann method
•Finite difference method, finite volume method, and finite element method
•Multiscale and multiphysics modeling and simulation
•Turbulence, turbulent drag reduction
•Single/multiphase flow and heat transfer
•Multicomponent flow and transfer
•Micro-channel flow and heat transfer
•Nano fluid flow and heat transfer
•Viscoelastic fluid flow and heat transfer
•Inverse modeling of heat transfer and fluid flow
•Stochastic process in heat transfer and fluid flow
•Heat transfer and fluid flow in porous media
•Benchmark solution, error estimates, and uncertainty quantification
•Multi-applications of heat transfer and fluid flow processes, e.g., enhanced heat transfer in micro-channel, hot dry rock, hydrogen storage and transportation, etc.
Chairs:
| Bo Yu Professor, Beijing Institute of Petrochemical Technology, China Shuyu Sun Professor, King Abdullah University of Science and Technology, Saudi Arabia Jinjia Wei Professor, Xi’an Jiaotong University, China Zhiguo Qu Professor, Xi’an Jiaotong University, China Yongtu Liang Professor, China University of Petroleum (Beijing), China Liang Gong Professor, China University of Petroleum (East China), China Weihua Cai Professor, Northeast Electric Power University, China Jianqin Zhu Professor, Beihang University, China Lin Chen Research Fellow, Institute of Engineering Thermophysics, Chinese Academy of Sciences, China Secretary Assistant Professor, Beijing Institute of Petrochemical Technology, China |
S4: Computational Acoustics, Optimization and Applications
S4: Computational Acoustics, Optimization and Applications
The symposium covers all aspects of computational acoustics and related optimization and engineering applications. The topics include but are not limit to: advanced physical simulation methods, machine learning based approaches, topology optimization methods, design of acoustic structures and acoustic metamaterials/ metasurfaces, sound source or field reconstruction methods.
Keywords: Computational acoustics, topology optimization, machine learning, metamaterials, metasurfaces, sound reconstruction
Chairs:
| Haibo Chen Professor, University of Science and Technology of China, China Changjun Zheng Associate Professor, Hefei University of Technology, China Wenjing Ye Professor, Hong Kong University of Science and Technology, China |
S5: Topology Optimization Methods and Engineering Application
S5: Topology Optimization Methods and Engineering Application
Topology optimization, aiming to allocate the available material to maximize system performance while satisfying multiple constraints, has experienced tremendous progress. This issue focuses on the new progress of topology optimization methods and their engineering applications, especially theoretical development, numerical implementation and potential applications.
Chairs:
| Kai Long
Associate Professor, North China Electric Power University, China Xuan Wang Lecturer, Hefei University of Technology, China Jiao Jia Lecturer, Beihang University, China Zunyi Duan Associate Professor, Northwestern Polytechnical University, China Quhao Li Associate Professor, Shandong University, China Hongliang Liu Associate Professor, Shenyang Aerospace University, China |
S6: Numerical Methods for Buckling Analysis and Design of Thin-Walled Structures
S6: Numerical Methods for Buckling Analysis and Design of Thin-Walled Structures
The load carrying capacity of thin-walled structures is known to be significantly influenced by stability aspects such as buckling. A reliable prediction of buckling phenomena requires a robust, efficient and accurate analysis tool and consideration of a number of inherent structural imperfections which often dominate the overall non-linear elastic response. The reliable prediction of buckling includes both critical load, instability deformation, secondary branches and imperfection sensitivities or any combination thereof and calls for sophisticated numerical methods which allow to assess the various physical responses during tracing the equilibrium path of structural buckling. Furthermore, robustness, accuracy and computational efficiency are key factors for an innovative and sustainable thin-walled structural design which exploits the full lightweight potential.
This mini-symposium aims at bringing together researchers from across the structural buckling community to discuss and exchange latest achievements in the field of novel numerical methods for buckling analysis and design of thin-walled structure research. Topics of interest include, but are not limited to computational and algorithmic aspects of the analytical and semi-analytical methods, reduced-order modeling methods, finite element methods, isogeometric analysis, composite materials and optimization methods, for buckling modeling, analysis and design of thin-walled structures.
This mini-symposium aims at bringing together researchers from across the structural buckling community to discuss and exchange latest achievements in the field of novel numerical methods for buckling analysis and design of thin-walled structure research. Topics of interest include, but are not limited to computational and algorithmic aspects of the analytical and semi-analytical methods, reduced-order modeling methods, finite element methods, isogeometric analysis, composite materials and optimization methods, for buckling modeling, analysis and design of thin-walled structures.
Chairs:
Yujie Guo Associate Professor, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, China Ke Liang Associate Professor, Northwestern Polytechnical University, China |
S7: Peridynamic Theory and Multiscale Methods for Complex Material Behavior
S7: Peridynamic Theory and Multiscale Methods for Complex Material Behavior
Simulation of complex material behavior presents huge challenges in computational science and engineering nowadays. Overcoming those challenges requires the development of novel mathematical models and computational methods. Examples of such challenges in classical solid mechanics include the characterization of the microstructure dependence of the material response, as well as the simulation of material failure and damage; similarly, the description of coupling multi-scale behaviors represents a challenge in classical theories. Peridynamics, as a new nonlocal theory, offers an alternative approach that avoids difficulties arising in classical local theories in the description of complex material behavior. Additionally, peridynamics as a nonlocal continuum model can be applied to coarse-grained molecular dynamics, potentially for bridging the atomistic scale to the continuum scale. Computational implementations of a peridynamic model, however, often cause huge computational cost and incompatibility with classical tractions-like boundary conditions. Multiscale coupling strategies that bridge local and nonlocal models seem to provide a solution to both the computational expense and the boundary treatment. Multiscale coupling methods, in general, refer to the class of mathematical and computational techniques for the problems that exhibit characteristic features at multiple scales. Several of these methods have been proposed in past years for the effective prediction of the material response in, e.g., composites and heterogeneous media. This mini-symposium invites contributions on recent developments on the peridynamic theory and multiscale coupling modeling for the simulation of complex material behavior.
Chairs:
Yunteng Wang Research Fellow, Institut für Geotechnik, Universität für Bodenkultur Wien, Austria Xin Lai Associate Professor, Wuhan university of technology, China Xin Gu Associate Professor, Hohai University, China Linjuan Wang Associate Professor, Beihang University, China Xiaoliang Deng Associate Research Fellow, National Key Laboratory of Shock Wave and Detonation Physics, China |
S8: Mathematical Problems in Oil and Gas Drilling and Completion Engineering
S8: Mathematical Problems in Oil and Gas Drilling and Completion Engineering
The topic is related to mathematical problems in drilling and completion engineering, such as down-hole tubular mechanics, tools design, multiphase flow in wellbore, wellbore stability, cuttings transfer, drilling risk prediction and control, increasing rate of penetration, drilling optimization and so on.
Keywords: Drilling and completion, wellbore, drilling optimization, down-hole mechanics
Chairs:
Qilong Xue Associate Professor, China University of Geosciences (Beijing), China Yuqiang Xu Associate Professor, China University of Petroleum (East China), China |
S9: The Future of Technologies in Energy Transition: Modeling, Simulation and Machine Learning
S9: The Future of Technologies in Energy Transition: Modeling, Simulation and Machine Learning
Aims and Scopes:
Energy transition refers to the global energy sector’s shift from fossil-based systems of energy production and consumption — including oil, natural gas and coal — to renewable energy sources like wind and solar, as well as hydrogen. Thanks to the economic and environmental friendliness, renewable energy is regarded as one of the ultimate solutions to human energy problems, which is profoundly affecting the long-term reconstruction of the world's energy supply and application system, and is accelerating the rapid change and generational development of transportation, power generation, industry and housing. Traditional fossil energy has strong geographical attributes, and the uneven distribution of typical coal, oil and gas resources has brought countries all over the world competing to control energy supply, transportation channels and application markets. The global energy governance system has experienced heavy impacts from the Gulf War and other major power game events, and is fragile and balanced with the continued turbulent situation in the Middle East. With the continuous changes in the international geopolitical pattern and the competitiveness of various countries, it is urgent to enter a new stage of stability. As a typical renewable energy, hydrogen is regarded as a future weapon for maintaining energy competitiveness by traditional fossil energy exporters (Saudi Aramco has exported "blue hydrogen" to Japan and announced a $5 billion green hydrogen construction plan), and it is regarded by traditional fossil energy importing countries as an important opportunity to fundamentally solve the problem of energy shortage. The world's major economies have made major strategic decisions on carbon peaking and carbon neutrality, and the international energy community has also paid more attention to the new energy industry and accelerated the process of energy transition.
The fundamental driving force of energy transition lies in people's need and yearning for a better life, which combines the dual functions of climate governance and energy innovation. Renewable energy will become a green engine for building a community with a shared future for mankind. Clearly, the research focusing on the modeling and simulation techniques helps to understand the fundamental mechanisms in the new energy systems, including phase transitions, material stiffness and fluid flow. It also has a major role in the understanding and optimization of carbon reduction efforts, including carbon dioxide capture, utilization and storage (CCUS). As an emerging technique accelerating our investigation in the practical complex emerging problems, machine learning has also been successfully applied in various directions in the energy transition processes. This symposium aims to bring together active scientists in the emerging field of modeling, simulation and machine learning to discuss recent advances in experimental studies, theoretical analysis and numerical modelling of various renewable energy problems and energy transition techniques. Of particular interest are research topics concerned with the interplay between policy analysis, laboratory experiments, computer science, and various engineering applications regarding energy transition, and the development and application of machine learning algorithms.
Energy transition refers to the global energy sector’s shift from fossil-based systems of energy production and consumption — including oil, natural gas and coal — to renewable energy sources like wind and solar, as well as hydrogen. Thanks to the economic and environmental friendliness, renewable energy is regarded as one of the ultimate solutions to human energy problems, which is profoundly affecting the long-term reconstruction of the world's energy supply and application system, and is accelerating the rapid change and generational development of transportation, power generation, industry and housing. Traditional fossil energy has strong geographical attributes, and the uneven distribution of typical coal, oil and gas resources has brought countries all over the world competing to control energy supply, transportation channels and application markets. The global energy governance system has experienced heavy impacts from the Gulf War and other major power game events, and is fragile and balanced with the continued turbulent situation in the Middle East. With the continuous changes in the international geopolitical pattern and the competitiveness of various countries, it is urgent to enter a new stage of stability. As a typical renewable energy, hydrogen is regarded as a future weapon for maintaining energy competitiveness by traditional fossil energy exporters (Saudi Aramco has exported "blue hydrogen" to Japan and announced a $5 billion green hydrogen construction plan), and it is regarded by traditional fossil energy importing countries as an important opportunity to fundamentally solve the problem of energy shortage. The world's major economies have made major strategic decisions on carbon peaking and carbon neutrality, and the international energy community has also paid more attention to the new energy industry and accelerated the process of energy transition.
The fundamental driving force of energy transition lies in people's need and yearning for a better life, which combines the dual functions of climate governance and energy innovation. Renewable energy will become a green engine for building a community with a shared future for mankind. Clearly, the research focusing on the modeling and simulation techniques helps to understand the fundamental mechanisms in the new energy systems, including phase transitions, material stiffness and fluid flow. It also has a major role in the understanding and optimization of carbon reduction efforts, including carbon dioxide capture, utilization and storage (CCUS). As an emerging technique accelerating our investigation in the practical complex emerging problems, machine learning has also been successfully applied in various directions in the energy transition processes. This symposium aims to bring together active scientists in the emerging field of modeling, simulation and machine learning to discuss recent advances in experimental studies, theoretical analysis and numerical modelling of various renewable energy problems and energy transition techniques. Of particular interest are research topics concerned with the interplay between policy analysis, laboratory experiments, computer science, and various engineering applications regarding energy transition, and the development and application of machine learning algorithms.
Chairs:
| Huai Su Associate Professor, China University of Petroleum (Beijing), China Tao Zhang Postdoc, King Abdullah University of Science and Technology, Saudi Arabia Ran Tao Postdoc, Delft University of Technology, Netherlands Yuansi Tian Assistant Professor, Chang’an University, China Wei Wang Assistant Professor, City University of Hong Kong, China Yue Zhou Assistant Professor, Cardiff University, UK Bohui Shi Associate Professor, China University of Petroleum (Beijing), China Xiaoben Liu Associate Professor, China University of Petroleum (Beijing), China |
S10: Emerging Computational Intelligence Techniques for Industrial Application
S10: Emerging Computational Intelligence Techniques for Industrial Application
Computational technologies have been acknowledged as a fast-growing approach from research and development to various domains of application including healthcare, business, education, travel, and modern industry. With the growth of valuable data generated each day, the process of analysis and making use of it is highly crucial in decision-making and policy planning processes for all business sectors. Other obvious applications include forecasting, decision-support systems, scheduling, optimized solutions, root cause analysis, and data analysis. In manufacturing, in particular, predictive and preventive maintenance based on machine learning, (including deep learning, neural networks, and reinforcement learning), enables the prediction of failures before they occur, saving repair cost and time and extending asset lifecycles. To accomplish the ultimate results in all aspects, intelligent systems, smart devices, and sophisticated analyzing techniques must carefully be taken into consideration with great support from strong and advanced applied mathematics principles.
The symposium aims to provide a powerful forum for researchers, scientists, academicians, scholars, and practitioners around the world from academia and industry to present papers on recent developments in the broad fields of computational intelligence and related topics. It shall also bring together leading academic scientists, researchers, and research scholars to exchange innovative and novel ideas and share field trial experiences. Moreover, the symposium will also provide a premier interdisciplinary platform for researchers and practitioners to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and intelligent solutions adopted in the fields.
Potential topics include, but are not limited to, the following:
Emerging computational techniques for industrial artificial intelligence
Data intelligence and machine learning
Applied mathematics and optimization analysis for industrial applications
Computer and machine vision and digital twin technology
Potential topics include, but are not limited to, the following:
Emerging computational techniques for industrial artificial intelligence
Data intelligence and machine learning
Applied mathematics and optimization analysis for industrial applications
Computer and machine vision and digital twin technology
Chairs:
Sayan Kaennakham
Associate Professor, Suranaree University of Technology, Thailand
Nara Samattapapong
Assistant Professor, Suranaree University of Technology, Thailand
Assistant Professor, Suranaree University of Technology, Thailand
Pornthip Pongchalee
Assistant Professor, Rajamangala University of Technology Isan, Thailand
Assistant Professor, Rajamangala University of Technology Isan, Thailand
Krittidej Chanthawara
Assistant Professor, Ubon Ratchathani Rajabhat University, Thailand
Assistant Professor, Ubon Ratchathani Rajabhat University, Thailand
Chantana Simtrakankun
Assistant Professor, Loei Rajabhat University, Thailand
Assistant Professor, Loei Rajabhat University, Thailand
Pirapong Inthapong
Research Fellow, Suranaree University of Technology, Thailand
Research Fellow, Suranaree University of Technology, Thailand
S11: Extreme Mechanics of Advanced Materials and Structures
S11: Extreme Mechanics of Advanced Materials and Structures
In recent years, there are an increase in demands requiring materials and structures to be designed to withstand harsh environments, such as extreme high and low temperatures, high-speed impacts, high density of power and electric current. The harsh applications anticipate satisfactory service reliability of structures, which nevertheless are challenging to be investigated experimentally at unaffordable cost. This provides the opportunities to perform refined numerical simulations or analysis to evaluate the reliability and performance of structures with sufficiently accurate material models and numerical algorithms in the harsh environments.
We initiate this Symposium to report and discuss recent progress in various aspects of extreme mechanics by emphasizing mechanical behaviour and reliability of advanced engineering materials and structures for harsh applications in different areas and sectors. This Symposium welcomes original research and review articles on all aspects of advanced materials and structures with the knowledge and understanding of the processes and mechanisms that induce deterioration or damage/failure to predict reliability and improve structural performance.
We initiate this Symposium to report and discuss recent progress in various aspects of extreme mechanics by emphasizing mechanical behaviour and reliability of advanced engineering materials and structures for harsh applications in different areas and sectors. This Symposium welcomes original research and review articles on all aspects of advanced materials and structures with the knowledge and understanding of the processes and mechanisms that induce deterioration or damage/failure to predict reliability and improve structural performance.
Topics of interest include (but not limit to):
•Constitutive models of materials in extreme loading applications
•Constitutive models of materials in extreme loading applications
•Novel materials with outstanding thermal, mechanical or electrical properties
•Thermal management by advanced technology
•Life prediction models and failure analysis
•New experimental methods to evaluate constitutive behaviour
•Reliability tests
•Machine learning algorithms and applications
•New numerical algorithms to analyze extreme loading problems
•Thermal management by advanced technology
•Life prediction models and failure analysis
•New experimental methods to evaluate constitutive behaviour
•Reliability tests
•Machine learning algorithms and applications
•New numerical algorithms to analyze extreme loading problems
Keywords: Extreme mechanics, service reliability, advanced materials and structures, harsh applications
Chairs:
Xu Long
Associate Professor, Northwestern Polytechnical University, China
Yutai Su
Senior Research Fellow, Northwestern Polytechnical University, China
Baoping Zou
Professor, Zhejiang University of Science and Technology, China
Ruiwen Li
Lecture, Xi'an University of Technology, China
Xiaokai Hu
Professor, Guilin University of Electronic Technology, China
Associate Professor, Northwestern Polytechnical University, China
Yutai Su
Senior Research Fellow, Northwestern Polytechnical University, China
Baoping Zou
Professor, Zhejiang University of Science and Technology, China
Ruiwen Li
Lecture, Xi'an University of Technology, China
Xiaokai Hu
Professor, Guilin University of Electronic Technology, China
Yujie Li
Professor, Harbin Institute of Technology at Weihai, China
Professor, Harbin Institute of Technology at Weihai, China
S12: Computational and Experimental Techniques for Structural Integrity Assessment
S12: Computational and Experimental Techniques for Structural Integrity Assessment
Maintaining sufficient level of structural integrity is the prerequisite of a structural component serving its functions during the desired operating life. Precise assessment of the structural integrity is crucial in the design of engineering structural components, which provides criteria for optimizing the structural designs, determining operating lifetimes, establishing the maintenance schemes and inspection periods, and mitigating the catastrophic failures. Recent years, the increasing demands of developing economical, durable, and reliable structural components promote the developments of computational and experimental techniques for structural integrity assessment.
This symposium aims to bring together researchers and engineers working on structural integrity to discuss and exchange latest developments in the computational and experimental techniques for structural integrity assessments.
The topics of interests include, but are not limited to:
• Structural integrity
• Structural durability
• Damage tolerance
• Fatigue, fracture and damage mechanics
• Corrosion and corrosion-fatigue problems
• Structural Health Monitoring
• Digital twins for product lifetime management
This symposium aims to bring together researchers and engineers working on structural integrity to discuss and exchange latest developments in the computational and experimental techniques for structural integrity assessments.
The topics of interests include, but are not limited to:
• Structural integrity
• Structural durability
• Damage tolerance
• Fatigue, fracture and damage mechanics
• Corrosion and corrosion-fatigue problems
• Structural Health Monitoring
• Digital twins for product lifetime management
Keywords: Structural integrity, fatigue and fracture mechanics, failure of materials and structures, structural health monitoring
Chairs:
Biao Li
Associate Professor, Northwestern Polytechnical University, China
Teng Zhang
Associate professor, Air Force Engineering University, China
S13: Advanced Reservoir Simulation Technologies and Applications
S13: Advanced Reservoir Simulation Technologies and Applications
Current reservoir simulation methods are developing in three main directions, one of which is the complexity of application scenarios, such as the coupled thermal-stress-flow multi-physics problem, the complex geometry of fractured and vuggy reservoirs, etc. The second is the performance optimization of FVM-based solvers, such as localized nonlinear solver, more efficient phase equilibrium algorithms, reduced-order methods, sequential implicit schemes. The third is the diversification of discretization methods for computational domain and governing equations, such as the newly developed meshless reservoir numerical modeling methods based on computational-domain point cloud discretization.
This mini-Symposium focuses on the recent development of reservoir simulation methods and their applications.
This mini-Symposium focuses on the recent development of reservoir simulation methods and their applications.
Chairs:
Xiang Rao
Associate Professor, Yangtze University, China
Pin Jia
Associate Professor, China University of Petroleum-Beijing, China
Hao Xiong
Postdoc, Yale University, USA
Hao Liu
Assistant Professor, Hohai University, China
Yonghui Wu
Assistant Professor, China University of mining and Technology-Xuzhou, ChinaS14: Advances in Experimental and Mathematical Modeling of Mass and Heat Transfer in Shale Oil Extraction Systems
S14: Advances in Experimental and Mathematical Modeling of Mass and Heat Transfer in Shale Oil Extraction Systems
Energy extraction from shale oil resources has gained a great momentum in recent years to meet world’s ever-increasing demand of affordable energy. The performance of oil well systems for extracting energy from shale oil resources has been low due to the ultra-low permeability of shale oil reservoirs. The system performance is controlled by the efficiency of mass and heat transfer in the shale oil reservoirs.
Experimental and mathematical modeling of mass and heat transfer in shale oil reservoirs has played an important role in providing valuable information for understanding shale oil reservoirs and improving well system efficiency in recent years. However, accurate measurements and modeling of the coupled effect of mass and heat transfer in shale oil reservoirs still remain challenging due to limited data of reservoir heterogeneity.
This symposium offers an opportunity for researchers to share their most recent research and development work in experimental and mathematical modeling of mass and heat transfer in shale oil reservoirs. Topics of this symposium include, but are not limited to:
• State-of-the-art measurement of fluid flow in ultra-low shale samples.
• State-of-the-art measurement of heat transfer in ultra-low shale samples.
• State-of-the-art measurement of coupled mass-heat flow in shale samples.
• State-of-the-art measurement of heat transfer through well construction materials.
• Analytical modeling of heat transfer from geothermal zone to shale oil reservoirs.
• Analytical modeling of heat transfer from wellbores to shale oil reservoirs.
• Numerical modeling of multi-phase flow in heterogeneous shale oil reservoirs.
• Numerical modeling of multi-phase flow and heat transfer between wellbores.
Experimental and mathematical modeling of mass and heat transfer in shale oil reservoirs has played an important role in providing valuable information for understanding shale oil reservoirs and improving well system efficiency in recent years. However, accurate measurements and modeling of the coupled effect of mass and heat transfer in shale oil reservoirs still remain challenging due to limited data of reservoir heterogeneity.
This symposium offers an opportunity for researchers to share their most recent research and development work in experimental and mathematical modeling of mass and heat transfer in shale oil reservoirs. Topics of this symposium include, but are not limited to:
• State-of-the-art measurement of fluid flow in ultra-low shale samples.
• State-of-the-art measurement of heat transfer in ultra-low shale samples.
• State-of-the-art measurement of coupled mass-heat flow in shale samples.
• State-of-the-art measurement of heat transfer through well construction materials.
• Analytical modeling of heat transfer from geothermal zone to shale oil reservoirs.
• Analytical modeling of heat transfer from wellbores to shale oil reservoirs.
• Numerical modeling of multi-phase flow in heterogeneous shale oil reservoirs.
• Numerical modeling of multi-phase flow and heat transfer between wellbores.
Keywords: Shale oil, formation evaluation, well drilling, completion, reservoir engineering, mathematical modeling, numerical simulation, lab investigations, mass transfer, heat transfer
Chairs:
Boyun Guo
Professor, University of Louisiana at Lafayette, USA
Jun Li
Professor, China University of Petroleum (Beijing), China
Gao Li
Professor, Southwest Petroleum University, China
Hongjun Yin
Professor, Northeast Petroleum University, China
Baojiang Sun
Professor, China University of Petroleum (East China), China
Zhongxi Zhu
Professor, Yangtze University, China
Xuejun Hou
Professor, Chongqing University of Science and Technology, China
Dawei Liu
Professor, Guangdong University of Petro-chemical Engineering, China
Professor, University of Louisiana at Lafayette, USA
Jun Li
Professor, China University of Petroleum (Beijing), China
Gao Li
Professor, Southwest Petroleum University, China
Hongjun Yin
Professor, Northeast Petroleum University, China
Baojiang Sun
Professor, China University of Petroleum (East China), China
Zhongxi Zhu
Professor, Yangtze University, China
Xuejun Hou
Professor, Chongqing University of Science and Technology, China
Dawei Liu
Professor, Guangdong University of Petro-chemical Engineering, China
S15: Graph Computing and Machine Learning
S15: Graph Computing and Machine Learning
The symposium will be organized around the following topics: theoretical graphing and graph computing, machine vision and deep learning, and robotics. We will explore the basic theoretical research such as graphical computing and its expanded application in machine vision and robotics, and discuss the technical application of engineering measurement, product detection, and motion attitude control involved in the industrial field. In addition, technical discussions on epidemic prevention and control and ecological environment management based on graphics computing and computer vision theory will be carried out in conjunction with hot issues such as the global new covid-19 epidemic and carbon emissions.
Keywords: Theoretical graphics, geometry, machine vision, computer vision, robotics, deep learning
Chairs:
Pengfei Zheng
Associate Professor, Yiwu Industrial & Commercial College, China
Associate Professor, Yiwu Industrial & Commercial College, China
Jingjing Lou
Associate Professor, Shenyang Jianzhu University, China
Associate Professor, Shenyang Jianzhu University, China
S16: Structural Health Monitoring: Innovation, Modern Tools and Machine Learning
S16: Structural Health Monitoring: Innovation, Modern Tools and Machine Learning
Engineers have been continuously striving to improve the efficiency of conventional problems of Structural Health Monitoring, of building and bridges. In recent years, an increasing role of Machine Learning in civil engineering – related areas has been observed, leading to many exciting and innovative applications. Machine Learning methods are problem-solving strategies that are used to find approximate solutions to complex problems. These methods are mainly inspired by the strategies that nature uses to solve problems. Most frequently, they are employed to substitute or enhance complex and computationally intensive mathematical models that have proved intractable for conventional analysis based on hard-computing strategies.
In Structural Health Monitoring, the classification of the cracks, the characteristic of the cracks and the intensity of the cracks can be measured by the Innovation methods (i.e Machine Learning, CNN, Image processing) and through Modern tools (UAVs, AUVs, and slow rate camera).
In Structural Health Monitoring, the classification of the cracks, the characteristic of the cracks and the intensity of the cracks can be measured by the Innovation methods (i.e Machine Learning, CNN, Image processing) and through Modern tools (UAVs, AUVs, and slow rate camera).
The mini-symposium at ICCES2023 will provide an overview of the present thinking and state-of-the-art developments on the application of Machine Learning and artificial intelligence techniques in Structural Health Monitoring. The proposed collection of papers will include the latest research work from scientists and engineers working in different areas of Machine Learning, covering all of its aspects related to civil engineering.
Keywords: SHM, image processing, CNN, machine learning
Chair:
Afaq Ahmad
Associate Professor, Department of Civil Engineering, UET Taxila, Pakistan
S17: Advanced Materials: Design, Manufacturing and Multiscale Modelling
S17: Advanced Materials: Design, Manufacturing and Multiscale Modelling
The rapid development of manufacturing techniques nowadays provides us a wide range of freedom on designing advanced materials and structures, which usually relies on efficient multiscale modelling. The symposium "Advanced Materials：Design, Manufacturing and Multiscale Modelling" aims to gather researchers and graduate students with different scientific discipline backgrounds to discuss the latest research in advanced materials and structures, e.g. soft and biomaterials, composite materials, functionally graded materials, 3D printed materials, optical and acoustic materials, and many others. The process from initial design stage, manufacturing stage, multiscale modelling as well as optimization will be covered. Authors are cordially invited to share their cutting-edge research in this symposium.
Keywords: Advanced materials, microstructural design, additive manufacturing, multiscale modelling
Chairs:
Guannan Wang
Research Professor, Zhejiang University, China
Zhelong He
Assistant Professor, Hunan University, China
Yabin Yang
Associate Professor, Sun Yat-sen University, China
Wenqiong Tu
Professor, Jiangsu University, ChinaS18: Frontier Research and Engineering Application of Renewable Energy
S18: Frontier Research and Engineering Application of Renewable Energy
Climate change is one of the main threats to the sustainable development of human society, and reducing carbon emissions has become a major concern of the international community. Many countries have established the goal of achieving carbon neutrality around the middle of this century and focused on promoting energy transition and vigorously developing clean and renewable energy. Therefore, the development and utilization of renewable energy including solar power, onshore and offshore wind power, hydropower, etc is an important strategic choice for global power development. In order to further promote the frontier research and engineering application of renewable energy, we are pleased to invite prospective experts to share original research achievements and innovations on the following non-exhaustive topics.
- Renewable Energy, power generation, energy conversion and storage;
- Wind energy, solar energy, hydro energy, pumped storage, smart grids;
- Wind-solar-water-storage integration, sustainable energy systems and policies;
- Hybrid pumped storage energy solutions towards wind and PV integration;
- Experimental measurement, numerical simulation ;
- Advanced technical methodologies and engineering applications;
- Novel approaches to flow control, noise control, vibration control;
- Application of AI, IoT, cloud computing, intelligent manufacturing, 3D printing;
- Digitalisation, digital twins, digital power generation unit, digital power plant.Keywords: Renewable energy, rotating machinery, multiphysics coupling, experimental measurement, numerical simulation, industrial digitalization, intelligent manufacturing, machine learning and AI
Chairs:
Xingxing Huang
Senior Consultant, InnoFuture GmbH, Switzerland
Xavier Escaler
Professor, Polytechnic University of Catalonia, Spain
Professor, Polytechnic University of Catalonia, Spain
S19: Mechanics of Biomedical Materials and Devices
S19: Mechanics of Biomedical Materials and Devices
The aim of this Symposium is to bring together specialists in mechanics and micromechanics of materials, applied mathematics, continuum mechanics, materials science, physics, biomechanics and medical engineering to discuss the latest developments and trends in analysis of deformation, damage and fracture processes as well as mechanical properties and performance of biomedical materials and devices using experimental testing, microstructural characterisation and numerical simulations. The topics of the Symposium include, but are not limited to, the following:
- Experimental and computational analysis of biomedical materials and devices (orthopaedic, dental, cardiovascular, etc.);
- Bio-inspired and biomimetic materials and structures;
- Mechanical properties and performance of biomedical materials in vivo;
- Mechanics of 3d-printed biomedical components and structures;
- Mechanical characterisation of artificial tissues and scaffolds;
- Mechanics of cells;
- Fracture mechanics of biological tissues;
- Damage in hard and soft biotissues;
- Fatigue, creep and biodegradation of biomedical materials;
- Responses of biological tissues and biomedical materials to dynamic loading;
- Structural integrity of prostheses.
Keywords: Biomedical materials, biomedical devices, experiments, computational analysis, prostheses
Chairs:
Vadim Silberschmidt
Professor of Mechanics of Materials, Loughborough University, UK
Mikhail A. Tashkinov
Associate Professor, Perm National Research Polytechnic University, Russia
Juan Du
Lecturer, Academy of Medical Engineering and Translational Medicine, Tianjin University, China
S20: Vibration-acoustics-based Structural Health Monitoring
S20: Vibration-acoustics-based Structural Health Monitoring
This symposium addresses the topic of structural health monitoring, which is based on vibration and acoustics. Contributions that focus on all aspects of advances in vibration-acoustics-based structural health monitoring are invited, which can span a wide range of mechanical, aerospace, civil engineering, and so on. Contributions proposing theoretical innovations, experimental investigations, and practical applications are welcome. The topics include, but are not limited to:
1. Structural health monitoring based on vibration and acoustics
2. Structural damage detection based on vibration and acoustics
3. Structural parameter/load identification based on vibration and acoustics
4. Ultrasonics-based structural health monitoring and damage detection
5. Structural prognostics/health management/safety assurance
6. Sensing/actuating technologies for vibration and acoustics
7. Modeling and simulation of vibration and acoustics
8. Modal analysis and signal processing
9. Structural model updating using vibration and acoustics
10. Non-linear vibration and acoustics
11. Vibro-acoustic coupling
12. Big data and artificial intelligence technologies
13. Vibration and acoustics under ambient excitations
14. Engineering applications of vibration and acoustic methods
1. Structural health monitoring based on vibration and acoustics
2. Structural damage detection based on vibration and acoustics
3. Structural parameter/load identification based on vibration and acoustics
4. Ultrasonics-based structural health monitoring and damage detection
5. Structural prognostics/health management/safety assurance
6. Sensing/actuating technologies for vibration and acoustics
7. Modeling and simulation of vibration and acoustics
8. Modal analysis and signal processing
9. Structural model updating using vibration and acoustics
10. Non-linear vibration and acoustics
11. Vibro-acoustic coupling
12. Big data and artificial intelligence technologies
13. Vibration and acoustics under ambient excitations
14. Engineering applications of vibration and acoustic methods
Chairs:
Maosen Cao
Professor, Department of Engineering Mechanics, Hohai University, China
Wei Xu
Professor, Department of Engineering Mechanics, Hohai University, China
Nizar Faisal Alkayem
Postdoctoral Research Fellow, College of Civil Engineering, Hohai University, China
Professor, Department of Engineering Mechanics, Hohai University, China
Wei Xu
Professor, Department of Engineering Mechanics, Hohai University, China
Nizar Faisal Alkayem
Postdoctoral Research Fellow, College of Civil Engineering, Hohai University, China
S21: Blockchain based Applications for Future Internet
S21: Blockchain based Applications for Future Internet
Blockchain technology enables credible information management capabilities, application behaviors, and web services, thus could provide the future Internet with trust worthiness. With the persistent evolution of the blockchain technology architecture, blockchain based applications (e.g. web 3.0) are playing an increasingly important role for the Internet (e.g. IoT, ICS, anonymous networks, cloud data center, etc.). The throughput of data volume, transaction processing speed, and high transaction expense lead to the restriction of blockchain based application scenarios. The security problems also obfuscate the perspective of blockchain based industrial. Such challenges call for the cooperation of researchers and engineers to explore the approaches and possibilities to a practical technology architecture layout which could adapt to the development trend of the Internet.
Keywords: Cryptography theory, consensus algorithm, rollup and cross-chain protocol, privacy protection and security, smart contract
Chairs:
Shen Su
Associate professor, Guangzhou University, China
Guangxia Xu
Professor, Guangzhou University, China
Ning Hu
Professor, Peng Cheng Laboratory, China
Associate professor, Guangzhou University, China
Guangxia Xu
Professor, Guangzhou University, China
Ning Hu
Professor, Peng Cheng Laboratory, China
Hui Lu
Professor, Guangzhou University, ChinaS22: Advanced Application of Experimental Study and Numerical Simulation in Offshore Oil & Gas Engineering
S22: Advanced Application of Experimental Study and Numerical Simulation in Offshore Oil & Gas Engineering
Offshore Oil and Gas Engineering has gained continuing attention due to an increasing demand for energy and the large reserves found offshore. Unlike conventional onshore oil and gas operations which have been well developed for the past few decades, it brings unprecedented challenges due to the complexity in technology, remoteness, and harsh environment. The study of the development of offshore is crucial to tackle energy needs also to ensure safe and efficient operations.
The research pertaining to the offshore applications has been growing in the past decade covering all aspects, among which natural gas hydrate and digital solutions have been prevailing. The experimental study and numerical simulation play a paramount role to investigate the mechanisms and offer solutions.
The proposed symposium aims to invite researchers engaged in offshore oil & gas engineering to share the updated advances in computational and experimental study. The latest research findings and creative ideas will be discussed and the crossover subjects and products will be introduced for a better and wider application. By exchanging views, the industry’s current technology limits and prospects will be pointed out. The influential work will be selected for oral speaking in this symposium.
The research pertaining to the offshore applications has been growing in the past decade covering all aspects, among which natural gas hydrate and digital solutions have been prevailing. The experimental study and numerical simulation play a paramount role to investigate the mechanisms and offer solutions.
The proposed symposium aims to invite researchers engaged in offshore oil & gas engineering to share the updated advances in computational and experimental study. The latest research findings and creative ideas will be discussed and the crossover subjects and products will be introduced for a better and wider application. By exchanging views, the industry’s current technology limits and prospects will be pointed out. The influential work will be selected for oral speaking in this symposium.
Potential topics of this symposium mainly include, but are not limited to
•Unconventional offshore production model
•Unconventional marine energy resources, e.g., natural gas hydrate, offshore wind-power, etc.
•Advances in flow assurance
•Digital solutions of intelligent technology on offshore oil & gas engineering, e.g., digital twin and smart robots , etc.
•Advances in design and manufacture for marine engineering, e.g., floating bodies, pipes, risers, electric machines, and subsea equipment like ROV and christmas tree, etc.
•Advances in matching technology, e.g., anti-corrosion, LNG & FLNG, welding, and offshore installation, etc.
•Unconventional offshore production model
•Unconventional marine energy resources, e.g., natural gas hydrate, offshore wind-power, etc.
•Advances in flow assurance
•Digital solutions of intelligent technology on offshore oil & gas engineering, e.g., digital twin and smart robots , etc.
•Advances in design and manufacture for marine engineering, e.g., floating bodies, pipes, risers, electric machines, and subsea equipment like ROV and christmas tree, etc.
•Advances in matching technology, e.g., anti-corrosion, LNG & FLNG, welding, and offshore installation, etc.
Chairs:
Ning He
Professor, CNOOC Offshore Oil Engineering Co. Ltd, China
Yonghai Gao
Professor, China University of Petroleum (East China), China
Hui Wang
Phd, CNOOC Offshore Oil Engineering Co. Ltd, China
Yonghai Gao
Professor, China University of Petroleum (East China), China
Hui Wang
Phd, CNOOC Offshore Oil Engineering Co. Ltd, China
Ye Chen
Phd, CNOOC Offshore Oil Engineering Co. Ltd, China
Phd, CNOOC Offshore Oil Engineering Co. Ltd, China
S23: Contaminant Source Identification in Water Resources
S23: Contaminant Source Identification in Water Resources
The topic covers all methods that can be used to identify sources of contaminants in aquifers, rivers, lakes, and water distribution systems. Field-scale and watershed-scale studies can focus on a part of the environment (such as a single aquifer) or the entire environment. Topics of interest include, but not limited to, identification of contaminant source characteristics (such as spatial location of sources, release intensity, and duration of activities) using forward and backward models, inverse probability methods, simulation–optimization methods, and so on.
Chair:
Mohammad Sadegh Maleki Tirabadi
Ph.D., Iran University of Science and Technology, Iran
Ph.D., Iran University of Science and Technology, Iran
S24: Advances in Modeling and Simulation of Pore Scale Fluid Transport and Fluid-solid Interaction in Nano-scale and Micro-scale Porous Material
S24: Advances in Modeling and Simulation of Pore Scale Fluid Transport and Fluid-solid Interaction in Nano-scale and Micro-scale Porous Material
Understanding the physics of fluid flow and fluid-solid interaction is necessary to elucidate the sequence of events that occurs within porous materials. Recent decades have shown a dramatic increase in interest to study and apply porous media science in various aspects of energy and environmental engineering, including groundwater remediation, geothermal energy, CO2 storage, oil & gas recovery, and fuel cells. Sustainable engineering of each one of these systems requires a pore scale understanding with which one can make predictions. The coupling between flow and deformation can give rise to a variety of complex phenomena, including changes in mechanical or transport properties, changes in size or shape which are commonly observed in subsurface porous media, gels, tissues, etc.
This symposium is dedicated to the achievements done on modeling and simulation of pore scale fluid transport and fluid-solid interaction in nano-scale and micro scale porous material with an emphasis on new numerical developments, microfluidics and nanofluidics, new physical insights, incorporation of advanced physical and chemical models, and upscaling to the continuum scale, showcasing the recent advances on pore scale fluid transport and fluid-solid interaction modelling with application to nano-scale and micro scale porous material. This symposium will cover topics of interest that include, but are not limited to, the following:
1. Pore-scale to continuum-scale upscaling method
2. Microfluidics and nanofluidics application in porous systems
3. Poromechanics and fluid-solid interaction
4. Molecular level modelling of fluid flow in porous material
5. Pore scale phase behavior change
6. Pore scale adsorption and transport process
7. Deep learning assisted pore scale modelling method
8. Phase field, level set and lattice Boltzmann approaches, as well as hybrid methods.
9. Pore scale dynamic 3D imaging techniques
10. Liquid imbibition/drying modelling in porous material
11. Pore scale fracture propagation imaging and modelling
This symposium is dedicated to the achievements done on modeling and simulation of pore scale fluid transport and fluid-solid interaction in nano-scale and micro scale porous material with an emphasis on new numerical developments, microfluidics and nanofluidics, new physical insights, incorporation of advanced physical and chemical models, and upscaling to the continuum scale, showcasing the recent advances on pore scale fluid transport and fluid-solid interaction modelling with application to nano-scale and micro scale porous material. This symposium will cover topics of interest that include, but are not limited to, the following:
1. Pore-scale to continuum-scale upscaling method
2. Microfluidics and nanofluidics application in porous systems
3. Poromechanics and fluid-solid interaction
4. Molecular level modelling of fluid flow in porous material
5. Pore scale phase behavior change
6. Pore scale adsorption and transport process
7. Deep learning assisted pore scale modelling method
8. Phase field, level set and lattice Boltzmann approaches, as well as hybrid methods.
9. Pore scale dynamic 3D imaging techniques
10. Liquid imbibition/drying modelling in porous material
11. Pore scale fracture propagation imaging and modelling
12. Multiphase transport process
Keywords: Pore scale fluid transport, fluid-solid interaction, micro & nanomechanics of porous materials, numerical simulation, pore scale imaging and modelling, nano-scale and micro scale porous material
Chairs:
Wenhui Song
Associate Professor, School of Petroleum Engineering, China University of Petroleum (East China), China
Shuangmei Zou
Associate professor, School of Earth Resources, China University of Geosciences (Wuhan), China
Associate professor, School of Earth Resources, China University of Geosciences (Wuhan), China
Jianlin Zhao
Associate professor, School of Petroleum Engineering, China University of Petroleum (Beijing), China
Associate professor, School of Petroleum Engineering, China University of Petroleum (Beijing), China
Shiyuan Zhan
Professor, Collge of Energy, Chengdu University of Technology
Professor, Collge of Energy, Chengdu University of Technology
S25: Computational Geomechanics and Multiphysics Coupling in Porous Media
S25: Computational Geomechanics and Multiphysics Coupling in Porous Media
This symposium will provide a forum for presentation and discussion of the state-of-the-art in computational geomechanics, addressing the multiphysics and multiphase coupling between the linear elastic/nonlinear plastic rock deformations and processes of fluid flow, heat transfer, ions transport, etc. Meanwhile, recent advances in artificial intelligence (AI) and data analytics push forward the boundaries of traditional disciplines. Contributions are solicited in, but not restricted to, the following topic areas: (1) development, implementation, and validation of advanced constitutive models, (2) computational models and algorithms for multiphysics problems (coupled multiphase flow and solid deformation, fracture flow, chemo-thermo-hydro-mechanics, etc.), (3) meshfree methods for large deformation problems, (4) data-driven constitutive modeling of geomaterials, (5) machine learning and physics-based models.
Keywords: Reservoir geomechanics, meshfree method, THMC, machine learning, physics-informed neural network
Chairs:
Qi Zhang
RGC Postdoctoral Research Fellow, The Hong Kong Polytechnic University, China
Xia Yan
Professor, China University of Petroleum (East China), China
Kai Zhang
Professor, Qingdao University of Technology, China
Zhao Zhang
Professor, Shandong University, China
Yinfu Jin
Professor, Shenzhen University, China
S26: Engineering Software Development in Computational Science
S26: Engineering Software Development in Computational Science
Engineering software plays a key role in promoting the wide application of computational science. This symposium focuses on the recent advances in Engineering Software of computational science. The software can be for the purposes of education, prototyping algorithms, analysis of complex industrial problems, real time simulation, and so on. We are interested in both standalone software and the plug-in based on a well established platform.
Chairs:
Haojie Lian
Associate Professor, Taiyuan University of Technology, China
Associate Professor, Taiyuan University of Technology, China
Leilei Chen
Associate Professor, Huanghuai University, China
Associate Professor, Huanghuai University, China
S27: Numerical Simulation of Advanced Manufacturing Processes
S27: Numerical Simulation of Advanced Manufacturing Processes
Numerical simulation plays a significant role in advance manufacturing process, which gives an effective guidance on manufacturing process and reduce the experimental cost. This symposium aims to gather researchers to discuss the development and application of numerical simulation in advance manufacturing process, e.g. the development of multiscale and multiphysics modelling, the design and optimization of manufacturing process via numerical simulation, numerical simulation of microstructural evolution during manufacturing process, high performance computational technology of numerical simulation, durability prediction of products via numerical simulation and other new development of numerical simulation technology in advance manufacturing process. Authors with the research about the numerical simulation in advance manufacturing process are welcome to share their research in this symposium.
Keywords: Numerical simulation, advanced manufacturing process, design and optimization, durability prediction, microstructural evolution
Chairs:
Wugui Jiang
Professor, School of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, China
Zhixin Tu
Lecturer, Nanchang Hangkong University, China
Professor, School of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, China
Zhixin Tu
Lecturer, Nanchang Hangkong University, China
S28: Dynamics and Control of Complex Space Systems
S28: Dynamics and Control of Complex Space Systems
Recent years have witnessed the rapid development of complex space systems, e.g., space telescopes, satellite antennas, solar power systems and deep space exploration transit station, which can use on-orbit assembly to construct various large space structures. In addition, small space platforms or modules can also use network topology to fully realize the complex performance of traditional large structures, and they can greatly reduce the costs and risks borne by a large complex space system, and significantly increase the flexibility and robustness of the system. Distributed space systems, e.g., constellation, cluster, swarms, fractionated satellite, and federated satellite, are typical complex space system including many flight vehicles distributed in different orbits cooperating with each other to perform a complex flight mission.
However, the main challenge of complex space systems lies in the complex dynamic coupling with the environment and inter switching topology, and multiple complex disturbances, e.g., external disturbances, model parameter uncertainties, controller’s perturbations, input delay, actuator fault signals, and other nonlinear perturbations widely act on space systems. The present generation of complex space systems should be capable of high-precision maneuvers and increased robustness to multiple complex disturbances.
The aim of this symposium is to collate original research and review articles that investigate the developments of dynamics and control of complex space systems.
Potential topics include but are not limited to the following:
However, the main challenge of complex space systems lies in the complex dynamic coupling with the environment and inter switching topology, and multiple complex disturbances, e.g., external disturbances, model parameter uncertainties, controller’s perturbations, input delay, actuator fault signals, and other nonlinear perturbations widely act on space systems. The present generation of complex space systems should be capable of high-precision maneuvers and increased robustness to multiple complex disturbances.
The aim of this symposium is to collate original research and review articles that investigate the developments of dynamics and control of complex space systems.
Potential topics include but are not limited to the following:
In-space assembly and construction
Topology reconstruction and optimization
Space electromagnetic docking/separation
Distributed path planning for space systems
Spacecraft navigation, guidance, and control
Attitude dynamics, determination and control
Flexible structure vibration isolation and suppression
Orbital game theories and applications for satellite swarms
Topology reconstruction and optimization
Space electromagnetic docking/separation
Distributed path planning for space systems
Spacecraft navigation, guidance, and control
Attitude dynamics, determination and control
Flexible structure vibration isolation and suppression
Orbital game theories and applications for satellite swarms
Chairs:
Chuang Liu
Associate Professor, Northwestern Polytechnical University, China
Honghua Dai
Professor, Northwestern Polytechnical University, China
Professor, Northwestern Polytechnical University, China
Xiaokui Yue
Professor, Northwestern Polytechnical University, China
Professor, Northwestern Polytechnical University, China
S29: Application of Artificial Intelligence in Aerospace Guidance, Control and Trajectory Design
S29: Application of Artificial Intelligence in Aerospace Guidance, Control and Trajectory Design
Aerospace has become one of the most active and influential fields of science and technology in the 21st century. Artificial intelligence (AI) is considered as one of the three cutting-edge technologies in the 21st century. AI technology can simulate, extend, and expand human intelligence, and further assist human beings to complete tasks such as perception and decision-making that are difficult for the human brain to complete. Therefore, how to use the big data storage, perceptual learning and decision-making planning capabilities of AI to improve the existing technology in the aerospace field is a key scientific issue. The level of intelligence will greatly affect the future development of the aerospace field. Problems such as guidance, control and trajectory design are obviously related with AI. The emphasis of AI in the problems or technologies is to point out the following traits in contrast to traditional methods:
(1) AI technology can improve the orbital accuracy of rocket ascent guidance and the strike accuracy of missile terminal guidance. Meanwhile, it can improve the autonomy of cooperative tasks for aircraft cluster such as: interaction, detection, and attack.
(2) AI technology can learn through real-time interaction with the environment, so as to improve the robustness of aircraft or spacecraft control systems against external disturbances and their own perturbations, which improves its adaptability.
(3) The traditional trajectory design method has a long iteration cycle and low applicability of tasks. Combining AI technology can improve the speed of design, and meet the needs of sudden changes such as avoiding threat areas and changing target points at real time.
This symposium is to invite researchers to share their efforts in combining guidance, control and trajectory design with AI technology in aerospace field.
Potential topics include but are not limited to the following:
1. Rocket ascent guidance and trajectory design
2. Reentry guidance and trajectory design for spacecraft or missile
3. Control technology of hypersonic vehicle
4. Formation control of multi aircrafts or spacecrafts
5. Cooperative trajectory planning for aircraft or spacecraft
6. Cooperative terminal guidance with multiple constraints
7. Spacecraft orbit maneuver, rendezvous and operation
(1) AI technology can improve the orbital accuracy of rocket ascent guidance and the strike accuracy of missile terminal guidance. Meanwhile, it can improve the autonomy of cooperative tasks for aircraft cluster such as: interaction, detection, and attack.
(2) AI technology can learn through real-time interaction with the environment, so as to improve the robustness of aircraft or spacecraft control systems against external disturbances and their own perturbations, which improves its adaptability.
(3) The traditional trajectory design method has a long iteration cycle and low applicability of tasks. Combining AI technology can improve the speed of design, and meet the needs of sudden changes such as avoiding threat areas and changing target points at real time.
This symposium is to invite researchers to share their efforts in combining guidance, control and trajectory design with AI technology in aerospace field.
Potential topics include but are not limited to the following:
1. Rocket ascent guidance and trajectory design
2. Reentry guidance and trajectory design for spacecraft or missile
3. Control technology of hypersonic vehicle
4. Formation control of multi aircrafts or spacecrafts
5. Cooperative trajectory planning for aircraft or spacecraft
6. Cooperative terminal guidance with multiple constraints
7. Spacecraft orbit maneuver, rendezvous and operation
Keywords: Guidance, control, trajectory design, aerospace, intelligence
Chairs:
Yibo Ding
Associate Professor, Northwestern Polytechnical University, China
Associate Professor, Northwestern Polytechnical University, China
Honghua Dai
Professor, Northwestern Polytechnical University, China
Xiaokui Yue
Professor, Northwestern Polytechnical University, China
S30: Computational Methods in Space Flight Mechanics
S30: Computational Methods in Space Flight Mechanics
Computational mechanics has penetrated most disciplines of engineering and science. In an era of computer and automation, computational methods not only serve as simulating auxiliary, but also shape the development of many disciplines. This trend has been significant in the space flight mechanics since the Apollo program, although the computation capability by then is trivial compared to the off-the-shelf CPUs nowadays. Problems such as space trajectory design, orbital determination are obviously related with computational mechanics. However, it is seldom bluntly mentioned that the guidance and control of spacecrafts are also tied with computation, where inherently they are all trying to seek some forms of solutions in dynamical systems. The emphasis of computation in the aforementioned problems or technologies is to point out the following traits in contrast to traditional recognition:
(1) Numerical solutions and algorithms compatible with on-board computation are replacing the closed form guidance and control methods.
(2) The state-of-art algorithms, techniques, and philosophy in computational mechanics can inspire novel thoughts and insights in computational aspects of space flight mechanics.
(3) Rather than simply solving the problems numerically via brute force. The computational efficiency, reliability, accuracy, and robustness of the solution process are crucial to practical mission.
This symposium is to invite researchers to share their efforts in formulating, modeling, and analyzing the problems in space flight mechanics via computational methods.
Topics to be covered involve novel computational methods in the following aspects:
1.Attitude dynamics, determination and control
2.Dynamics and control of large space structures and tethers
3.Flight dynamics operations and spacecraft autonomy
4.Orbit determination and space-surveillance tracking
5.Orbital dynamics, perturbations, and stability
6.Rendezvous, relative motion, proximity missions, and formation flying
7.Spacecraft guidance, navigation and control
Keywords: Computational guidance and control, space situational awareness, autonomous spacecraft maneuver
Chairs:
Xuechuan Wang
Assiciate Professor, Northwestern Polytechnical University, China
Tarek Elgohary
Assistant Professor, University of Central Florida, USA
Honghua Dai
Professor, Northwestern Polytechnical University, China
Xiaokui Yue
Professor, Northwestern Polytechnical University, China
Assiciate Professor, Northwestern Polytechnical University, China
Tarek Elgohary
Assistant Professor, University of Central Florida, USA
Honghua Dai
Professor, Northwestern Polytechnical University, China
Xiaokui Yue
Professor, Northwestern Polytechnical University, China
S31: Impact Response to Materials & Structure
S31: Impact Response to Materials & Structure
Materials and structures will experience drastic impact loading under extreme conditions such as explosion and shock, which features high temperature, high strain rate and high pressure. Understanding the underlying dynamic deformation and failure mechanism is beneficial to the design of advanced materials or structures for energy absorption or impact resistance. In this section, the impact response and protection design against both velocity and heat shock will be performed using theoretical analysis, numerical simulation and experiments, starting from the polymer matrix modification, polymer nanocomposites, laminates and even metamaterials.
Keywords: Impact response, metamaterial, polymer composites
Chairs:
Weifu Sun
Professor, Beijing Institute of Technology, China
Professor, Beijing Institute of Technology, China
Jianxun Zhang
Associate Professor, Xi'an Jiaotong University, China
Associate Professor, Xi'an Jiaotong University, China
S32: Modern Computational Methods in Fluid-Structure Interaction Analysis
S32: Modern Computational Methods in Fluid-Structure Interaction Analysis
Fluid-structure interaction (FSI) problems play important roles in many scientific and engineering fields, and modern computational methods that can simulate the strong nonlinear responses of fluid and structures are playing a role of ever-increasing importance. The main goal of this symposium is to promote the high-precision computational methods for solving responses of fluid, structures and FSI. Topics of interest of this symposium include, but are not limited to, the following aspects: Meshless methods (SPH, Smoothed Particle Hydrodynamics; RKPM, Reproducing Kernel Particle Method; etc.), BEM (the Boundary Element Method), Discontinuous Galerkin Methods, CEL (the Coupled Eulerian-Lagrangian method), and machine learning methods.
Keywords: Fluid-structure interaction, computational methods, meshless methods, BEM, discontinuous Galerkin methods, CEL, machine learning
Chairs:
Shaofei Ren
Associate Professor, College of Shipbuilding Engineering, Harbin Engineering University, China
A-Man Zhang
Professor, College of Shipbuilding Engineering, Harbin Engineering University, China
Shiping Wang
Professor, College of Shipbuilding Engineering, Harbin Engineering University, China
Associate Professor, College of Shipbuilding Engineering, Harbin Engineering University, China
A-Man Zhang
Professor, College of Shipbuilding Engineering, Harbin Engineering University, China
Shiping Wang
Professor, College of Shipbuilding Engineering, Harbin Engineering University, China
S33: Future of Aquaculture Informatics: Simulation, Methods and Modeling
S33: Future of Aquaculture Informatics: Simulation, Methods and Modeling
Topic is related to information processing in Aquaculture, but are not limited to, the following aspects：
• Simulation, optimization, modeling, and automated control;
• Decision support systems, intelligent systems, and artificial intelligence;
• Machine vision, computer vision, image processing and automation, and imaging technologies for Aqacultural problems such as fish growth, disease, water quality etc.;
• Advanced computational approaches for solving aquacultural problems;
• Simulation, optimization, modeling, and automated control;
• Decision support systems, intelligent systems, and artificial intelligence;
• Machine vision, computer vision, image processing and automation, and imaging technologies for Aqacultural problems such as fish growth, disease, water quality etc.;
• Advanced computational approaches for solving aquacultural problems;
• Intelligent instruments, robotics, and co-robotics for aquaculture;
• Unmanned aerial vehicles (UAVs) for sensing, imaging, and aquacultural applications;
• Unmanned aerial vehicles (UAVs) for sensing, imaging, and aquacultural applications;
• Smart sensors, biosensors and bioelectronics, innovations for chemical and biological sensing, sensors, and automation and control systems for aquaculture.
Chairs:
Shahbaz Hassan
Lecturer, College of Information Science and Technology, Zhongkai University of Agricultural and Engineering, China
Jianjun Guo
Associate Professor, College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, China
Shuangyin Liu
Professor, College of Information Science and Tchnology, Zhongkai University of Agriculture and Engineering, China
Lecturer, College of Information Science and Technology, Zhongkai University of Agricultural and Engineering, China
Jianjun Guo
Associate Professor, College of Information Science and Technology, Zhongkai University of Agriculture and Engineering, China
Shuangyin Liu
Professor, College of Information Science and Tchnology, Zhongkai University of Agriculture and Engineering, China
S34: Robust and Scalable Linear Solvers for Multiphysics Problems
S34: Robust and Scalable Linear Solvers for Multiphysics Problems
A broad range of multiphysics simulations is underway in the computational and engineering science community, as researchers increasingly confront questions about complex physical systems characterized by multiple interacting physical processes that have traditionally been considered separately. Accurate and efficient solutions to complex physical systems are significant in the domains of scientific prediction, engineering design, and policy making.
In particular, consistent implicit discretizations and suitable coupling schemes are paramount to accurate solutions. Implicit discretizations of multiphysics problems will introduce ill-conditioned linear systems. Coupling individual simulations may introduce limitations on stability, accuracy, or robustness that are more severe than the limitations imposed by the individual components. The main goal of this symposium is to promote the state-of-the-art iterative solvers for algebraic systems arising from multiphysics problems and to discuss the modern tools for implementing these solvers.
Keywords: Multiphysics problems, large-scale simulation, linear solvers
Chairs:
Chensong Zhang
Associate Professor, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, China
Jinchao Xu
Professor, King Abdullah University of Science and Technology, Saudi Arabia
Pengtao Sun
Professor, University of Nevada at Las Vegas, USA
Shihua Gong
Assistant Professor, The Chinese University of Hong Kong, Shenzhen, China
S35: Computer Modelling and Simulation in Fire Science and Engineering
S35: Computer Modelling and Simulation in Fire Science and Engineering
As the constantly accelerating process of urbanization in the world, the urban population has risen dramatically along with the expansion of cities. In recent years, a number of high-profile accidental fires have occurred throughout the world. Many of these fires grew rapidly and caused tremendous deaths and injuries and severe damage to the building structures. Therefore, it is necessary to conduct in-depth research in the field of fire science and engineering and the prevention and control of fires are seriously needed. With the development at full speed of computer technology, the computer tools become the typical approaches and have been widely applied to the fire problems. In order to make some progress in this area, this symposium focuses on the contents of the study of fire science and engineering with the approach of computer modelling and simulation, including the wide range of urban tunnel fires, high-rise building fires, compartment fires, electrical fire, new energy fire, fire control and suppression, fire spread and growth, etc.
Keywords: Fire control, fire suppression, smoke movement, flame spread, tunnel fire, high-rise building fire
Chairs:
Haowei Yao
Associate Professor, Zhengzhou University of Light Industry, China
Zihe Gao
Professor, Zhengzhou University, China
Lin Jiang
Associate Professor, Nanjing University of Science and Technology, ChinaS36: Optimization Design & Simulation of Composites and Structures
S36: Optimization Design & Simulation of Composites and Structures
The focus of the symposium is on the optimization design and simulation of advanced polymer/metal matrix composites, with length scales from nano, over micro and meso to full product/structure level. Targeted research dealing with mechanical issues and performances with an emphasis on multi-scale simulation or advanced experimental approaches to the study of novel composites with significant potential for engineering applications are very encouraged. Topics of key interest include all aspects related to design, validation, characterization/testing, performance and application of composite materials, including (but not limited to) nanocomposites, structural and functional composites, novel composite material concepts, and also green and bio-based composites.
Keywords: Advanced composites, optimization design, multiscale characterization, numerical simulation, strength and failure
Chairs:
Liang Wang
Associate Professor, Department of Engineering Mechanics, Shanghai Jiao Tong University, China
Wu Xu
Associate Professor, School of Aeronautics and Astronautics, Shanghai Jiao Tong University, China
Liaojun Yao
Associate Professor, Department of Astronautics Science and Mechanics, Harbin Institute of Technology, ChinaS37: Advances in Modeling and Simulation of Meteorological Resources and Disasters
S37: Advances in Modeling and Simulation of Meteorological Resources and Disasters
The seminars will be organized around the following topics: computer modeling and simulation of meteorological disasters, computer modeling and simulation of water disasters, and related disaster prevention and mitigation engineering. We will explore the use of artificial intelligence, machine learning or deep learning methods to characterize the physical mechanism and causes of meteorological disasters, model and simulate the physical process of floods and droughts, and discuss the application of engineering technology related to meteorological and water disasters. In addition, technical discussions based on meteorology and hydrology will be carried out in conjunction with hot issues such as climate change and the global high temperature and heat wave in 2022.
Potential topics of this symposium mainly include, but are not limited to
- Extreme weather monitoring, early warning and forecast
- Meteorological derived disaster
- Space weather disaster monitoring and prediction
- Floods and droughts
- Urban water resources crisis
- Climate change with renewable energy technologies
- Meteorological and hydrological observation based on Remote Sensing
- Disasters and human security
Potential topics of this symposium mainly include, but are not limited to
- Extreme weather monitoring, early warning and forecast
- Meteorological derived disaster
- Space weather disaster monitoring and prediction
- Floods and droughts
- Urban water resources crisis
- Climate change with renewable energy technologies
- Meteorological and hydrological observation based on Remote Sensing
- Disasters and human security
Keywords: Climate change, meteorological resources and disasters, water calamities, machine learning, extreme weather
Chairs:
Lifeng Wu
Dr. Nanchang Institute of Technology, China
Sien Li
Professor, China Agricultural University, China
Junliang Fan
Professor, Northwest A&F University, China
Yaokui Cui
Assistant Professor, Peking University, China
Wenzhi Zeng
Associate Professor, Wuhan University, China
Guomin Huang
Assistant Professor, Nanchang Institute of Technology, China
S38: Modeling of Failure of Materials and Structures in Engineering
S38: Modeling of Failure of Materials and Structures in Engineering
Modeling of failure of materials and structures has been an active and persistent challenge in computational mechanics and various scientific and industrial fields. This mini-symposium provides an informative and stimulating forum to enhance the academic communications on this challenging topic, and focuses on the developments and applications of computational theories, numerical methods, models and algorithms for modeling failure of materials and structures. Topics of interest include, but not limited to:
1. Researches on failure mechanism and numerical analyses
2. Multiscale models and methods for deformation and failure analysis
3. Fluid-structure-interaction, thermo-mechanical coupling, and other multi-physics fracture modeling
4. Dynamic fracture studies
5. XFEM and phase field method as well as other continuous and discontinuous methods for fracture modeling
6. Peridynamics, meshfree/particle-based methods, and non-local methods for failure modeling
7. Data-driven computational mechanics and modeling
8. Engineering fracture analysis
9. Other newly developed computational theories and methods for damage, failure and fracture modeling
1. Researches on failure mechanism and numerical analyses
2. Multiscale models and methods for deformation and failure analysis
3. Fluid-structure-interaction, thermo-mechanical coupling, and other multi-physics fracture modeling
4. Dynamic fracture studies
5. XFEM and phase field method as well as other continuous and discontinuous methods for fracture modeling
6. Peridynamics, meshfree/particle-based methods, and non-local methods for failure modeling
7. Data-driven computational mechanics and modeling
8. Engineering fracture analysis
9. Other newly developed computational theories and methods for damage, failure and fracture modeling
Keywords: Material failure, multiscale, fluid-structure-interaction, multi-physics, dynamic fracture
Chairs:
Lisheng Liu
Professor, Wuhan University of Technology, China
Professor, Wuhan University of Technology, China
Dan Huang
Professor, Hohai University, China
Ziguang Chen
Professor, Huazhong University of Science and Technology, China
Xin Lai
Associate Professor, Wuhan University of Technology, ChinaS39: Advances in Modeling, Simulation, and Control of Cyber-physical Systems (CPS)
S39: Advances in Modeling, Simulation, and Control of Cyber-physical Systems (CPS)
Cyber-Physical Systems (CPS) are complex dynamical systems that combine both physical (plant, process, network) and cyber (software, decision making algorithm, computation) components, whose operational evolutions are monitored, integrated, coordinated, and controlled by computing and control units. CPS exists in a wide variety of technological applications, such as intervention (e.g., collision avoidance); precision (e.g., robotic surgery and nano-level manufacturing); operation in dangerous or inaccessible environments (e.g., search and rescue, firefighting, and deep-sea exploration); coordination (e.g., air traffic control, war fighting); efficiency (e.g., zero-net energy buildings); and augmentation of human capabilities (e.g. in healthcare monitoring and delivery). Since the correct functioning of such systems is often safety-critical, their formal modeling and analysis (including reliability analysis) is of utmost importance. Ensuring reliability in CPS remains one of the most challenging problems in both academia and industry. CPS failures may occur due to the heterogeneous nature and inherent interconnection of the cyber/physical components and their behaviors, as well as the complex interaction between the discrete/continuous dynamics. Cyberattacks can also lead to CPS failures, as such attacks can generate (or intentionally change) events that transit – via communication and control layers – from one component (sensor, actuator) to another, and lead to executing operational sequence of events making the system to reach a dangerous or unsafe state. Hardware failures and malfunctions, and human intervention errors can also lead to CPS failures.
This Symposium aims to collect new contributions in the area of modeling, simulation, control, and reliability analysis of cyber-physical systems, ranging from the introduction of a new appropriate set of concepts and techniques to their practical implementation and applications with a particular emphasis on applied aspects.
Potential topics of this symposium mainly include, but are not limited to:
Heterogeneous design of cyber-physical systems;
Multi-Paradigm Modelling of cyber-physical systems;
Reliability analysis of cyber-physical systems;
Co-simulation of cyber-physical systems;
Embedded design for cyber-physical systems;
Control of cyber-physical systems;
Formal verification of cyber-physical systems.
Potential topics of this symposium mainly include, but are not limited to:
Heterogeneous design of cyber-physical systems;
Multi-Paradigm Modelling of cyber-physical systems;
Reliability analysis of cyber-physical systems;
Co-simulation of cyber-physical systems;
Embedded design for cyber-physical systems;
Control of cyber-physical systems;
Formal verification of cyber-physical systems.
Keywords: Cyber-physical systems, modeling, simulation, control, formal verification
Chair:
Ayman Aljarbouh
Assistant Professor, Department of Computer Science, University of Central Asia, Kyrgyzstan
Assistant Professor, Department of Computer Science, University of Central Asia, Kyrgyzstan
S40: High Temperature Strength and Experimental Technologies
S40: High Temperature Strength and Experimental Technologies
Facing the frontier exploration of aerospace science and the development of major equipment, high temperature strength and experimental technologies are the most important and urgent problems in aerospace field. The forum, theming “High Temperature Strength and Experimental Technologies”, grasps the latest progress in cutting-edge technology research of high temperature strength and innovative technology application of experimental technologies, promotes the cooperation and exchange of key technologies at home and abroad, and guides the accelerated breakthrough of high temperature strength of materials and related experimental technologies.
Chair:
Xueling Fan
Professor, Laboratory for Extreme Environmental Serviceability and Protection Technologies, School of Aerospace, Xi'an Jiaotong University, China
S41: Extremely Low-Power Communication for 6G
S41: Extremely Low-Power Communication for 6G
The rapid development of real-time Industrial Internet of Things (IoT) applications including green infrastructure, smart grids, smart city, intelligent transport networks, etc. enables Green communication between tens of billions of end devices such as wearable devices and sensors. The forthcoming sixth-generation (6G) experiences a new paradigm shift from connected things” to “connected intelligence”, which has limitations on spectrum, energy, cost and size. Ambient backscatter communication (AmBC) and Intelligent Reflecting Surface (IRS) I have been identified as the promising technologies to meet the above demands. AmBC is attractive because it does not require a dedicated RF carrier emitter. Instead, it exploits ambient signals from existing wireless infrastructure and devices, such as radio towers, television (TV) towers, cellular base stations, and wireless fidelity (Wi-Fi) access points. In addition, RIS can facilitate the reconfiguration of the wireless propagation environment by steering the incident signal through beamforming. Therefore, AmBC and RIS have attracted wide range of research from both academia and industry.
The goal of this research topic is to solicit original research papers, bringing together academic researchers and industrialists to report recent research advances in AmBC and IRS for 6G. The scope, mode, and quality of services can be greatly improved by AmBC and IRS enabled 6G, which has effectively promoted intelligent development and helped use limited resources more efficiently. In light of the future interest in critical 6G-enabled holographic communication, this Special Issue welcomes research that discusses channel modeling, fading performance analysis, transmission scheme design, resource allocation, and communication protocols of AmBC and IRS for 6G and to envision new research directions in the emerging fields of research.
● Modelling and statistical characteristics for AmBC/RIS of 6G
● Information-theoretic foundation of AmBC/RIS for 6G
● Waveform design, modulation, and coding for AmBC/RIS ofr 6G
● Scheme design for AmBC/RIS of 6G
● Resource allocation for AmBC/RIS of 6G
● Channel state information acquisition for AmBC/RIS based wireless networks
● Algorithms and protocols design for AmBC/RIS based wireless networks
● Hardware architectures and designs for AmBC/RIS
● Artificial intelligence for AmBC/RIS enabled wireless networks
● Integration of AmBC and/or RIS with state-of-the-art wireless technologies (e.g., NOMA, massive MIMO, physical layer security, millimeter wave communication, cognitive radio, cooperative communication, energy harvesting)
The goal of this research topic is to solicit original research papers, bringing together academic researchers and industrialists to report recent research advances in AmBC and IRS for 6G. The scope, mode, and quality of services can be greatly improved by AmBC and IRS enabled 6G, which has effectively promoted intelligent development and helped use limited resources more efficiently. In light of the future interest in critical 6G-enabled holographic communication, this Special Issue welcomes research that discusses channel modeling, fading performance analysis, transmission scheme design, resource allocation, and communication protocols of AmBC and IRS for 6G and to envision new research directions in the emerging fields of research.
● Modelling and statistical characteristics for AmBC/RIS of 6G
● Information-theoretic foundation of AmBC/RIS for 6G
● Waveform design, modulation, and coding for AmBC/RIS ofr 6G
● Scheme design for AmBC/RIS of 6G
● Resource allocation for AmBC/RIS of 6G
● Channel state information acquisition for AmBC/RIS based wireless networks
● Algorithms and protocols design for AmBC/RIS based wireless networks
● Hardware architectures and designs for AmBC/RIS
● Artificial intelligence for AmBC/RIS enabled wireless networks
● Integration of AmBC and/or RIS with state-of-the-art wireless technologies (e.g., NOMA, massive MIMO, physical layer security, millimeter wave communication, cognitive radio, cooperative communication, energy harvesting)
Chairs:
Xingwang Li
Associate Professor, Henan Polytechnic University, China
Khaled Rabie
Associate Professor, Manchester Metropolitan University, UK
Basem M. ElHalawany
Associate Professor, Benha University, Egypt
Gaojian Huang
Lecturer, Henan Polytechnic University, China
Wali Ullah Khan
Research Fellow, University of Luxembourg, Luxembourg
Galymzhan Nauryzbayev
Assistant Professor, Nazarbayev University, Kazakhstan
S42: Advanced Industrial Artificial Intelligence for Industrial Data Analysis and Optimization
S42: Advanced Industrial Artificial Intelligence for Industrial Data Analysis and Optimization
Nowadays, with the developments of smart manufacturing, various data can be collected more comprehensively and extensively than before. How to analysis the potential benefit from the data to improve the optimization or decision making of the manufacturing system becomes important. The Artificial intelligence (AI) methods based on data has become the hot point and it has been widely investigated from both the academic and industrial fields. AI can mine the valuable information from industrial data to improve the effectiveness and efficiency of the industrial manufacturing system.
Recently, advanced AI techniques have been developed and they have shown their potential. The proposed Special Issue on Advanced Industrial Artificial Intelligence for Industrial Data Analysis and Optimization will focus on the theories, methodologies and applications of the AI techniques in smart manufacturing. The special issue is encouraging to use the advanced AI techniques to handle with the full life-cycle data in intelligent manufacturing with different application scenarios, such as scheduling, quality control and fault diagnosis.
Potential topics include but are not limited to:
Recently, advanced AI techniques have been developed and they have shown their potential. The proposed Special Issue on Advanced Industrial Artificial Intelligence for Industrial Data Analysis and Optimization will focus on the theories, methodologies and applications of the AI techniques in smart manufacturing. The special issue is encouraging to use the advanced AI techniques to handle with the full life-cycle data in intelligent manufacturing with different application scenarios, such as scheduling, quality control and fault diagnosis.
Potential topics include but are not limited to:
- Advanced industrial AI theories and methodologies
- AI-based industrial data preprocessing, modeling, analysis and decision-making
- AI-driven methods for optimization of the manufacturing system
- AI-driven methods for intelligent equipment operation
- AI-driven methods for product quality control
- AI-driven methods for full life-cycle product design
- AI-driven methods for imbalanced data in intelligent manufacturing
- AI-driven methods for small-scale samples in intelligent manufacturing
Chairs:
Long Wen
Professor, China University of Geosciences, China
Dazhong Wu
Professor, University of Central Florida Orlando, USA
Junliang Wang
Professor, Donghua University, China
Yiping Gao
Dr., Huazhong University of Science and Technology, China
S43: Intelligent Transportation Systems
S43: Intelligent Transportation Systems
Intelligent connected vehicles,
Traffic Planning using big data, etc
Smart transportation infrastructures
Comprehensive transportation hub
Traffic Planning using big data, etc
Smart transportation infrastructures
Comprehensive transportation hub
Chair:
Mingwei Hu
Professor, College of Civil and Transportation Engineering, Shenzhen University, China
Professor, College of Civil and Transportation Engineering, Shenzhen University, China
S44: Inverse Problem in Engineering
S44: Inverse Problem in Engineering
Inverse problem refers to inferring model parameters from observations. For instance, the elastic property distribution of soft tissues is of great importance in disease diagnosis and development. However, the ill-posedness nature of inverse problem and noise in the measurements make it highly challenging to solve. In this symposium, we will focus on the development of the investigation on inverse problem in engineering.
Topics to be considered are related to the different challenges posed by inverse problems, such as:
Topics to be considered are related to the different challenges posed by inverse problems, such as:
optimization based inverse approaches
model fitting against uncertain experimental results
uniqueness of identified parameters
uncertainty quantification in inverse problems
full-field strain and displacement measurements
digital image/volume correlation techniques
in vivo identification using medical imaging
virtual fields method (VFM)
regularization methods
machine-learning and data-driven techniques in identification problems
model fitting against uncertain experimental results
uniqueness of identified parameters
uncertainty quantification in inverse problems
full-field strain and displacement measurements
digital image/volume correlation techniques
in vivo identification using medical imaging
virtual fields method (VFM)
regularization methods
machine-learning and data-driven techniques in identification problems
Chairs:
Yue Mei
Associate Professor, Dalian University of Technology, China
Yiqian He
Professor, Dalian University of Technology, China
Jie Liu
Professor, Hunan University, China
Bo Yu
Associate Professor, Hefei University of Technology, ChinaS45: Advances in Security and Privacy for Reliable Industrial Internet of Things
S45: Advances in Security and Privacy for Reliable Industrial Internet of Things
Industrial Internet of Things (IIoT) connects existing isolated industrial systems into an integrated network for promoting automation and productivity in critical infrastructure. Especially, computational intelligence on individual systems and active data exchanges highly facilitates the smart manufacturing. However, many IIoT networks currently suffer from many risks and vulnerabilities due to the network communication. For example, the interconnected IIoT is easily transformed to botnets once one of the inner industrial systems is infected with malware. In addition, data communication between the individual systems can be easily intercepted and forged by attackers. These threats make IIoT not increases the actual benefits but compromise of the industrial products. Hence, the practical smart manufacturing calls for a reliable IIoT. Ensuring the reliability of the IIoT involves all aspects in the network, including software development and deployment, infrastructure design, and communication techniques, etc.
This symposium focuses on recent progress in reliable industrial Internet of Things, and the original research outputs on all aspects regarding algorithms, architectures, software, devices are welcomed.
Topics of interest include but not limited to:
- Trust computational frameworks for IIoT
- Anolomy detection for IIoT
- Privacy-preserving smart infrastructure for IIoT
- Blockchain-enabled communication security for IIoT
- Malicious activity detection tools for IIoT
- Fault tolerance mechanisms for IIoT
- Cloud-based and edge-based solutions for IIoT
- Data security and protection for IIoT
This symposium focuses on recent progress in reliable industrial Internet of Things, and the original research outputs on all aspects regarding algorithms, architectures, software, devices are welcomed.
Topics of interest include but not limited to:
- Trust computational frameworks for IIoT
- Anolomy detection for IIoT
- Privacy-preserving smart infrastructure for IIoT
- Blockchain-enabled communication security for IIoT
- Malicious activity detection tools for IIoT
- Fault tolerance mechanisms for IIoT
- Cloud-based and edge-based solutions for IIoT
- Data security and protection for IIoT
Keywords: Industrial Internet of Things, privacy protection, reliable computation, data security, system
Chairs:
Xiong Luo
Professor, University of Science and Technology Beijing, China
Professor, University of Science and Technology Beijing, China
Dr., University of Science and Technology Beijing, China
S46: Practice of Advanced Artificial Intelligence in Geotechnical Engineering
S46: Practice of Advanced Artificial Intelligence in Geotechnical Engineering
Due to the complexity and uncertainty of geotechnical materials, traditional theories are often incapable of simulating and predicting geotechnical problems. In recent years, with the rapid development of artificial intelligence and big data technology, artificial intelligence technology has been widely used in the field of geotechnical engineering. To this end, this symposium collects the latest research results and viewpoints of influential researchers in this field, introduces the latest research progress in this field, and hopes to help us quickly understand related research work and facilitate researchers to conduct discussions. It is expected to promote basic research and technological innovation in this field and provide scientific basis and technical support for the realization of intelligent geotechnical engineering.
Potential topics of this special issue include, but are not limited to: (1) Metaheuristics and their applications in intelligent automation and global optimization: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired metaheuristics, etc. (2) Traditional machine learning methods, such as artificial neural networks (ANNs), genetic programming (GP), evolutionary polynomial regression (EPR), support vector machines (SVM), and random forest (RF); (3) Deep learning and real world applications, such as deep neural networks (DNN), convolutional neural network (CNN) and recurrent neural networks (RNN), etc.; (4) Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability; (5) Big data analytics; (6) Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises.
Potential topics of this special issue include, but are not limited to: (1) Metaheuristics and their applications in intelligent automation and global optimization: Evolutionary Algorithms, swarm intelligence, nature and biologically inspired metaheuristics, etc. (2) Traditional machine learning methods, such as artificial neural networks (ANNs), genetic programming (GP), evolutionary polynomial regression (EPR), support vector machines (SVM), and random forest (RF); (3) Deep learning and real world applications, such as deep neural networks (DNN), convolutional neural network (CNN) and recurrent neural networks (RNN), etc.; (4) Aspects of software engineering, e.g. intelligent programming environments, verification and validation of AI-based software, software and hardware architectures for the real-time use of AI techniques, safety and reliability; (5) Big data analytics; (6) Industrial experiences in the application of the above techniques, e.g. case studies or benchmarking exercises.
Keywords: Artificial intelligence, geotechnical engineering, big data
Chairs:
Xiangsheng Chen
Professor, Shenzhen University, China
Dong Su
Professor, Shenzhen University, China
Hao Xiong
Associate researcher, Shenzhen University, ChinaS47: Advanced Computational and Experimental Methods for Gear Dynamics Assessment
S47: Advanced Computational and Experimental Methods for Gear Dynamics Assessment
Geared transmissions are prone to harmful vibrations and annoying noise emissions. The sources of origin of those oscillations are various and different in nature, for example torque fluctuations from the energy supplier, the unsteady aerodynamics in wind turbines, the intrinsic characteristic of meshing gears to name a few. Electrification and increase of power density impose to gearboxes new challenges in terms of noise emission and durability. New strategies must be developed for better simulating the dynamics that the new generation of gearboxes will experience. In the proposed symposium contributions regarding the improvement of gearbox design are sought, aside to computational techniques and experimental methodologies for evaluating the gearbox dynamic behavior.
Keywords: Gear dynamics, static transmission error, dynamic transmission error, elasticity, tribology, contact analysis, Elasto-hydro-dynamic lubrication, numerical methods
Chairs:
Carlo Rosso
Associate Professor, Politecnico di Torino, Department of Mechanical and Aerospace Engineering, ItalyStephanos Theodossiades
Professor of Dynamics, Wolfson School of Mechanical, Electrical and Manufacturing Engineering,
Loughborough University, UK
S48: Mechanics and Design of Micro/Nano Hierarchical Materials
S48: Mechanics and Design of Micro/Nano Hierarchical Materials
Micro/nano hierarchical materials are constructed using microscopic building blocks (e.g., low-dimensional materials). The progress of micro/nano hierarchical materials in recent years has greatly expanded the investigation to a highly diverse and strongly multidisciplinary area. Micro/nano structural materials can extensively take advantage of the physical, chemical and mechanical properties of micro/nanoscale units, achieving more excellent mechanical properties and functions compared to traditional materials. It offers strategic opportunities to design advanced structural and functional materials for irreplaceable applications under extreme conditions. We need to note that in this field there are many emerging mechanical and physical problems beyond traditional cognition. To achieve superior mechanical properties and functions, it is full of necessity to propose new mechanical models and design principles considering the hierarchical microstructures and interfaces, as well as new physics and mechanical mechanisms at the atomistic scale. The topics of this symposium focus on the multiscale mechanics and design of micro/nano hierarchical materials, mechanics of low-dimensional materials and nanodevices, solid-liquid interfacial mechanics, mass transfer under nanoconfinements, and so on.
Keywords: Multiscale mechanics and design of micro/nano hierarchical materials, mechanics of low-dimensional materials and nanodevices, solid-liquid interfacial mechanics, mass transfer under nanoconfinements
Chairs:
HengAn Wu
Professor, University of Science and Technology of China, China
FengChao Wang
Professor, University of Science and Technology of China, China
YinBo Zhu
Associate Professor, University of Science and Technology of China, ChinaS49: Emerging Computational Intelligence Techniques for Automated Disease Diagnosis
S49: Emerging Computational Intelligence Techniques for Automated Disease Diagnosis
Computational intelligence has proven its potential in almost all the real-life areas for solving a wide variety of real life problems. In the medical field, there is always a need for fast and accurate diagnosis of infections within the body. Medical imaging proven to be the best suitable and trustable measure for the diagnoses in major of the medical areas. These diagnoses utilize the medical images for getting the insights of the abnormalities in the human body. An automated technique of diagnosis can improve the quality of diagnosis decisions and is independent of the experience and knowledge of the person providing the diagnosis. Although, there are still a variety of challenges with these automated diagnosis systems. The symposium aims to provide a powerful forum for the researchers, scientists, scholars, academicians, and practitioners all over the world from academia, and industry for presenting their papers on the recent developments in the field of computational intelligence and the allied topics. This shall bring together the leading scientists, researchers to explore their innovations and novel ideas and provide the platform for exchanging their experiences related to the topic. As the topic proves to be a good interdisciplinary platform for the scholars in the field to present their innovations, recent trends and challenges related to computational intelligence in automated diagnosis. Potential topics include, but not limited to the following;
• Emerging computational intelligence techniques for automated diagnosis
• Machine learning and intelligence
• Applied mathematics and optimization techniques for automated diagnosis
• Deep learning solutions for diagnosis
• Improved classification algorithms for disease diagnosis.
• Challenges in multiclass classification in medical field.
• Hybrid and efficient approaches for medical diagnosis.Keywords: Computational intelligence, medical diagnosis, machine learning, deep learning, AI
Chairs:
Nilkanth Deshpande
Assistant Professor, Electronics and Telecommunication, Dr. Vithalrao Vikhe Patil College of Engineering, Savitribai Phule Pune University and Symbiosis Institute of Technology, Symbiosis International (Deemed University), IndiaShilpa Gite
Associate Professor, Computer Science and Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University) and Symbiosis Center for Applied Artificial Intelligence, Lavale, Symbiosis International (Deemed University), India
Biswajeet Pradhan
Distinguished Prof. & Director, Centre for Advanced Modelling and Geospatial Information Systems, School of Civil and Environmental Engineering, Faculty of Engineering and IT, University of Technology Sydney, Australia and Earth Observation Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, Malaysia
S50: Computational Methods for Solving Nonlinear Problems of Engineering Structures
S50: Computational Methods for Solving Nonlinear Problems of Engineering Structures
Engineering structures, such as large span roof systems, bridges, buildings, offshore platforms, floating wind turbines, submerged floating tunnels, pressure vessels, car and aircraft structures, etc. can behave nonlinearly depending on their geometry, materials, loading and boundary conditions. The development of reliable and efficient solution procedures is crucial for a trustworthy structural analysis of complicated engineering structures. Researchers who have gone deeper into this subject are aware that many challenges still exist, such as construction of shell finite elements for large deformation analysis of folded and multi-branch shells, advanced co-rotational approaches for large displacement and rotation analysis of plates/shells, preventing the locking phenomena in triangular plate/shell element, modeling of sandwich and laminated shells, solving fluid-structure interactions involving beams/rods/cables or plates/shells, modeling of materials with enhanced performance characteristics, recognizing structural and material inhomogeneity, simulating fracture mechanical properties of concrete beams and plates, predicting crosswind-induced derailment of train-rail-bridge system, and analyzing stochastic stability of an inclined stay cable under random and periodic support motion excitations, etc.
Topics of interest for this symposium include, but are not limited to: plate/shell or beam finite element formulations using advanced formulations; novel elements with fine convergence and computational accuracy; large deformation analysis of folded and multi-branch shells; static and dynamic instability; fluid-structure interaction; structural reliability analysis; imperfection sensitivity and reliability; failure simulation of structures under extreme loading conditions; effects of structural and material inhomogeneity; multi-scale and multi-phase composite materials; vector form intrinsic finite element method; finite elements based on partition of unity enrichment techniques, e.g. the X-FEM and G-FEM; meshfree and particle methods, and other advanced finite element procedures for large displacement and large rotation analysis. High-quality review papers on computational approaches for complicated engineering structures are also welcome.
Topics of interest for this symposium include, but are not limited to: plate/shell or beam finite element formulations using advanced formulations; novel elements with fine convergence and computational accuracy; large deformation analysis of folded and multi-branch shells; static and dynamic instability; fluid-structure interaction; structural reliability analysis; imperfection sensitivity and reliability; failure simulation of structures under extreme loading conditions; effects of structural and material inhomogeneity; multi-scale and multi-phase composite materials; vector form intrinsic finite element method; finite elements based on partition of unity enrichment techniques, e.g. the X-FEM and G-FEM; meshfree and particle methods, and other advanced finite element procedures for large displacement and large rotation analysis. High-quality review papers on computational approaches for complicated engineering structures are also welcome.
Keywords: Plate/shell or beam element, locking problems, folded and multi-branch shells, large rotation analysis, stability analysis, fluid-structure interaction, structural reliability analysis, non-linear material behavior, internal inhomogeneity, multi-scale structures, multi-phase materials, fluid-structure interaction, composite structures, structural failure simulation, vector form intrinsic finite element method, meshfree and particle methods, coupling of finite element and meshfree methods
Chairs:
Yuanfeng Duan
Professor, Zhejiang University, China
Zhongxue Li
Associate Professor, Zhejiang University, China
S51: Modeling of Multiphase Flow in Unconventional Reservoirs
S51: Modeling of Multiphase Flow in Unconventional Reservoirs
Unconventional oil/gas resources have become significant contributors to global hydrocarbon production in the past two decades and continue to grow in importance for the next few decades. Due to the complex pore structures and geological storage in unconventional rocks, it remains challenging to describe and model multiphase flow and transport in unconventional reservoirs. Therefore, new multiscale, multiphase, and multiphysics transport modelling methods are being continuously developed to describe these complex flows within them.
This Special Issue aims to cover the recent advances and challenges for modelling flow and transport for unconventional reservoirs, including shale gas/oil, coal seam gas, tight gas/oil, gas hydrate, etc. Papers that apply cutting-edge technologies and novel techniques to investigate flow and transport in unconventional reservoirs, case studies, and comprehensive overviews are all welcome.
Potential topics include but are not limited to:
• Reservoir characterization
• New simulation methods
• Multiphase flow
• Multiscale modelling
• Multiphysics modelling
• immiscible flow
• Rock–fluid interface interactions
• Pore network modelling/Lattice Boltzmann modelling
• Machine learning and big data applications for unlocking new insights in unconventional reservoirs production
Chairs:
Jianchao Cai
Professor, China University of Petroleum (Beijing), China
Yongfei Yang
Professor, China University of Petroleum (East China), China
S52: Computational and Experimental Methods in Biomedical and Biomechanics Engineering
S52: Computational and Experimental Methods in Biomedical and Biomechanics Engineering
This symposium aims to provide a means of communicating the advances being made in the area of computational biomechanics and biomedical engineering with the emphasis being placed on biomechanics. Authors and presenters are invited to participate in this symposium to present the state-of-the-art computational aspects of biomechanics and simulation in both engineering and clinical scenarios.
Topics (not restricted to):
- Additive manufacturing
- Mechanics of biological tissue, organ systems and biomaterials
- Material identification and inverse problems
- Electromagnetic Imaging and inverse problems
- Human body movement, motion analysis and impact
- Cell mechanics, mechanotransduction, and computational mechanobiology
- Computer-assisted surgery and simulation
- Biofluids and hemodynamics
- Modeling, design and assessment of medical devices and implants
- Imaging and its application in biomechanics and biomedical engineering
- Joint and ligament mechanics
- Multiscale and Multiphysics modeling
- Injury and Damage Biomechanics
Keywords: Biomedical imaging, biomedical devices, biomechanical systems, electromagnetic imaging and inverse problems
Chair:
Lulu Wang
Professor, Biomedical Device Innovation Center, Shenzhen Technology University, China
Professor, Biomedical Device Innovation Center, Shenzhen Technology University, China
S53: Metamaterial Structures
S53: Metamaterial Structures
Metamaterials are a type of new and artificial materials, exhibiting many excellent and even exotic behaviors that have never been observed or realized in natural materials. Their unique advantages over traditional materials makes metamaterials a highly promising candidate for developing novel structures in various engineering fields such as civil, aerospace, mechanical, marine engineering, etc. The main theme of this symposium is dedicated to the recent advances in the design, modelling and experimental study of metamaterial structures, the mechanisms behind their exotic behaviors, and their applications in a broad spectrum of experimental and computational. The topics of particular interest of this special issue include (but not limited to):
• Novel metamaterial engineering structures
• Seismic metamaterial structures
• Mechanical metamaterial structures (negative Poisson’s ratio, negative stiffness, etc.)
• Acoustic metamaterials
• Thermal metamaterials
• Metamaterial structures for vibration suppression/attenuation
• Metamaterial structures for impact mitigation
• Metamaterial structures for energy harvesting
• Metamaterial structures with enhanced sensing
• Metamaterial structures for wave manipulation
• Metasurfaces and metabarriers and their applications in engineering structures
• Seismic metamaterial structures
• Mechanical metamaterial structures (negative Poisson’s ratio, negative stiffness, etc.)
• Acoustic metamaterials
• Thermal metamaterials
• Metamaterial structures for vibration suppression/attenuation
• Metamaterial structures for impact mitigation
• Metamaterial structures for energy harvesting
• Metamaterial structures with enhanced sensing
• Metamaterial structures for wave manipulation
• Metasurfaces and metabarriers and their applications in engineering structures
Keywords: Smart materials, metamaterial, auxetic, mechanical properties, engineering structures
Chair:
Xin Ren
Professor, Nanjing Tech University, China
S54: Numerical and Experimental Study on Vehicle Aerodynamics
S54: Numerical and Experimental Study on Vehicle Aerodynamics
In recent years, the energy efficiency and legislative requirements for the reduction in carbon dioxide and other emissions has become a worldwide hot topic. Vehicle aerodynamics plays a significant role in saving energy for future requirements of a climate-friendly environment. Its main goals are reducing the aerodynamic drag, aerodynamic noise and other causes of aerodynamic instability at high speeds. Therefore, it is necessary to conduct in-depth research in the field of numerical and experimental study on vehicle aerodynamics. In order to make certain progress in this area, this symposium focuses on the contents of the study of vehicle aerodynamics with either numerical or experimental approach, including the aerodynamic drag reduction, vehicle aeroacoustics, wake flows, and thermal management, etc.
Keywords:
Aerodynamic drag reduction, vehicle aeroacoustics, wake flows, thermal management
Chairs:
Tian Li
Associate Professor, Southwest Jiaotong University, China
Associate Professor, Southwest Jiaotong University, China
Tiantian Wang
Associate Professor, Hunan University, China
Associate Professor, Hunan University, China
Zhenxu Sun
Associate Professor, Institute of Mechanics, Chinese Academy of Sciences, China
Associate Professor, Institute of Mechanics, Chinese Academy of Sciences, China
Professor, Jiangsu University, China
S55: Numerical Calculation, Principle Experiment and Manufacturing in Ocean Engineering
S55: Numerical Calculation, Principle Experiment and Manufacturing in Ocean Engineering
Marine engineering is a comprehensive engineering technology oriented to marine development, marine utilization and marine protection, which is of great significance to national economic development and modernization of national defense construction. It involves many disciplines such as manufacturing, structural design, artificial intelligence, environmental survey, automation and automatic control. Numerical calculation, simulation experiments and manufacturing are important components in marine engineering and key technologies to solve practical problems, and they finally make it possible to understand the ocean.
Recognizing the growing importance and interest of numerical calculation, principle experiment and manufacturing in ocean engineering, ICCES will issue an innovative research paper on advanced computing methods and more efficient algorithms. At the same time, we particularly welcome comments describing the current state of technology.
Recognizing the growing importance and interest of numerical calculation, principle experiment and manufacturing in ocean engineering, ICCES will issue an innovative research paper on advanced computing methods and more efficient algorithms. At the same time, we particularly welcome comments describing the current state of technology.
Keywords: Structural design, artificial intelligence, advanced manufacturing, experimental processing, engineering calculation, environmental survey, automatic control and automation
Chairs:
Dongyan Shi
Professor, College of Mechanical and Electrical, Harbin Engineering University, China
Jinghua Li
Professor, College of Mechanical and Electrical, Harbin Engineering University, China
Zhixun Yang
Professor, College of Mechanical and Electrical, Harbin Engineering University, China
S56: Multidisciplinary Simulation and Optimization of Complex Products
S56: Multidisciplinary Simulation and Optimization of Complex Products
Mechanical, electrical, hydraulic and control coupling simulation and modeling
Computer experiment sampling
Surrogate model
Parallel optimization
Digital design
Multi-objective optimization
Nonlinear model construction
Computer experiment sampling
Surrogate model
Parallel optimization
Digital design
Multi-objective optimization
Nonlinear model construction
Keywords: Complex product, design, optimization, simulation, surrogate model
Chairs:
Yunbao Huang
Professor, State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong University of Technology, China
Pu Li
Associate Professor, Shaoguan University, China
S57: Mechanical and Physical Properties of Carbon-based Nanomaterials and Nanocomposites
S57: Mechanical and Physical Properties of Carbon-based Nanomaterials and Nanocomposites
Carbon-based nanomaterials and nanocomposites possess excellent mechanical and physical properties which render them promising engineering materials. This symposium will present the most recent advances in the modelling and experimental research works of these materials, and provide a valuable opportunity for interacting with experts and researchers from related fields.
Keywords: Carbon nanomaterials, carbon nanocomposites, mechanical properties, physical properties
Chairs:
Lichun Bai
Professor, School of Traffic and Transportation Engineering, Central South University, China
Bo Liu
Professor, Hunan University, China
S58: Digital Twins for Eco-design, Reusability and Recycling of Batteries for Promoting Circular Economy
S58: Digital Twins for Eco-design, Reusability and Recycling of Batteries for Promoting Circular Economy
The main theme is to promote the development of AI, IoT and Cloud computing based systems and their applications in Energy Systems such as Renewable Energy and Energy Storage Systems .
In this smposium, the focus shall be on use of methods for making digital twins’ such as AI algorithms, robotics, advanced sensors, software’s, 5G, cloud computing, blockchain, big data, etc for three purposes: eco-design, reusability and recycling of batteries.
In this smposium, the focus shall be on use of methods for making digital twins’ such as AI algorithms, robotics, advanced sensors, software’s, 5G, cloud computing, blockchain, big data, etc for three purposes: eco-design, reusability and recycling of batteries.
For eco-design, the design methodologies such as topology optimization, adaptable designs, etc. shall be promoted for newer designs of battery packs having fewer components so that battery packs can be easily recycled.
For reusability of batteries, AI algorithms along with image processing shall be applied for predicting residual energy in the spent batteries so that expert decisions (second life in hybrid storage or recovery of materials) for reusability can be taken in an efficient way.
For recycling, advanced hydrometallurgical processes shall be developed. In brief, the technologies based on digital twins can promote the battery circular economy and to some or greater extent reduce the dependence of vital raw materials for manufacturing the batteries.
Topics includes but not limited to the following:
1. Applications of AI algorithms, machine learning, cloud computing, 5G, communication devices, etc for eco-design, residual energy prediction and recovery of materials from spent battery packs.
2. Topology design optimization and adaptable design for battery packs.
3. Intelligence and Automation in recycling of battery packs.
4. Remaining useful life prediction of Li-ion cells.
5. Supply-chain, logistics and scheduling aspects of Li-ion cells for circular economy
6. Life cycle assessment and management of batteries for circular economy.
7. Remanufacturing, recycling and reusability of the spent batteries.
8. Reusability of batteries for its second-life or end-of-life use.
9. Spent batteries for renewable energy storage systems.
10. Hydrometallurgical, chemical and pre-treatment processes for recovery of battery materials
11. Non-destructive technologies for Remaining useful life of Li-ion cells
12. Economic, cost-benefit analysis and feasibility of recycling of spent batteries
For reusability of batteries, AI algorithms along with image processing shall be applied for predicting residual energy in the spent batteries so that expert decisions (second life in hybrid storage or recovery of materials) for reusability can be taken in an efficient way.
For recycling, advanced hydrometallurgical processes shall be developed. In brief, the technologies based on digital twins can promote the battery circular economy and to some or greater extent reduce the dependence of vital raw materials for manufacturing the batteries.
Topics includes but not limited to the following:
1. Applications of AI algorithms, machine learning, cloud computing, 5G, communication devices, etc for eco-design, residual energy prediction and recovery of materials from spent battery packs.
2. Topology design optimization and adaptable design for battery packs.
3. Intelligence and Automation in recycling of battery packs.
4. Remaining useful life prediction of Li-ion cells.
5. Supply-chain, logistics and scheduling aspects of Li-ion cells for circular economy
6. Life cycle assessment and management of batteries for circular economy.
7. Remanufacturing, recycling and reusability of the spent batteries.
8. Reusability of batteries for its second-life or end-of-life use.
9. Spent batteries for renewable energy storage systems.
10. Hydrometallurgical, chemical and pre-treatment processes for recovery of battery materials
11. Non-destructive technologies for Remaining useful life of Li-ion cells
12. Economic, cost-benefit analysis and feasibility of recycling of spent batteries
Keywords: Batteries, battery packs, battery recycling, battery design, battery modelling, battery models, empirical models, battery life, battery thermal management
Chairs:
Liang Gao
Professor, School of Mechanical Science and Engineering, State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology (HUST), China
Akhil Garg
Associate Professor, Huazhong University of Science and Technology (HUST), China
Professor, School of Mechanical Science and Engineering, State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology (HUST), China
Akhil Garg
Associate Professor, Huazhong University of Science and Technology (HUST), China
S59: Fracture Phase Field Method and Its Applications
S59: Fracture Phase Field Method and Its Applications
Pioneered by Francfort and Marigo, the phase-field theory avoids the tracking of mobile sharp crack surfaces, replacing the otherwise implied boundary conditions with a partial differential equation that governs the evolution of time- and space-dependent functions (phase-field). The governing equation of the phase-field is devised to guarantee that the motion of the diffused interfacial region complies with the prescribed physical laws, e.g., the Griffith’s brittle fracture theory. In this sense, the phase-field theory indeed serves as a regularized mathematical interface, which incorporates the complex sharp crack surface into a spatially smooth continuum scheme, and facilitates finite-element-based numerical implementations in a straightforward manner. In addition to the theory’s successful application to classical mechanical problems, e.g., composite delamination, functionally graded materials, rock fracture, large strain fracture of polymer, and interfacial fracture of concrete, the theory has been extended to many multi-physics problems, including hydrogen embrittlement, cement hydration, stress corrosion, Li insertion, coupled fluid–structure fracture, and polymer oxidative aging, etc.
After twenty year of Bourdin’s fundamental work on the fracture phase field, we initiate this Symposium to report and discuss recent progress in various aspects of variational fracture method.
Topics of interest include (but not limit to)
1. Phase field model for multi-physical problems
2. High performance computing strategies for phase field
3. Multi-scale modeling within the framework of phase field
4. Complex fracture prediction by phase field
5. Engineering computing and application of phase field
After twenty year of Bourdin’s fundamental work on the fracture phase field, we initiate this Symposium to report and discuss recent progress in various aspects of variational fracture method.
Topics of interest include (but not limit to)
1. Phase field model for multi-physical problems
2. High performance computing strategies for phase field
3. Multi-scale modeling within the framework of phase field
4. Complex fracture prediction by phase field
5. Engineering computing and application of phase field
Chairs:
Lu-Wen Zhang
Professor, Shanghai Jiao Tong University, China
Yongxing Shen
Professor, Shanghai Jiao Tong University, China
Hongjun Yu
Professor, Harbin Institute of Technology, China
Professor, Shanghai Jiao Tong University, China
Yongxing Shen
Professor, Shanghai Jiao Tong University, China
Hongjun Yu
Professor, Harbin Institute of Technology, China
Bin Li
Assistant Professor, Guangdong Technion-Israel Institute of Technology, China
S7: Symposium on Advances in Virtual Testing, Simulations and Predictive Methods in Creep, Fatigue, and Environmental Cracking
S8: Advances in Modelling, Simulation and Control of Cyber-Physical Systems
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Cyber-physical Systems (CPS) are complex dynamical systems that combine both physical (plant, process, network) and cyber (software, decision-making algorithm, computation) components, whose operational evolutions are monitored, integrated, coordinated, and controlled by computing and control units.
Cyber-physical systems exist in a wide variety of technological applications, such as intervention (e.g., collision avoidance); precision (e.g., robotic surgery and nano-level manufacturing); operation in dangerous or inaccessible environments (e.g., search and rescue, firefighting, and deep-sea exploration); coordination (e.g., air traffic control, warfighting); efficiency (e.g., zero-net energy buildings); and augmentation of human capabilities (e.g. in healthcare monitoring and delivery). Since the correct functioning of such systems is often safety-critical, their formal modeling and analysis (including reliability analysis) are of utmost importance. One of the most challenging problems in the domain of cyber-physical systems is the heterogeneity of their components (such as sensors, actuators, signal processing units), which makes modeling and automated model processing difficult. To date, no unifying theory nor systematic design methods, techniques, and tools exist for such systems. Individual (mechanical, electrical, network or software) engineering disciplines only offer partial solutions for the design of cyber-physical systems.
This Symposium aims to collect new contributions in the area of modeling, simulation, and control as well as reliability analysis of cyber-physical systems, ranging from the introduction of a new appropriate set of concepts, techniques to their practical implementation and applications with a particular emphasis on applied aspects.
The topics of research areas covered for this Symposium are:
- Heterogeneous design of cyber-physical systems;
- Multi-Paradigm Modelling of cyber-physical systems;
- Reliability analysis of cyber-physical systems;
- Co-simulation of cyber-physical systems;
- Embedded design for cyber-physical systems;
- Control of cyber-physical systems;
- Formal verification of cyber-physical systems.
Keywords
Cyber-physical systems, modeling and simulation, control, reliability analysis, formal verification, embedded design.
Cyber-physical systems, modeling and simulation, control, reliability analysis, formal verification, embedded design.
Organizer
Ayman Aljarbouh
Assistant Professor, University of Central Asia, ayman.aljarbouh@ucentralasia.org