View Guidelines for Submitting a Symposium Proposal at ICCES2024
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 email@example.com.
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 2024, 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 December 15, 2023. 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 firstname.lastname@example.org.
S1. 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 of
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 interest in recent years.
Along with the development of the 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. A solid foundation in both hardware and software has been established to study the processes
because of their 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, algorithms, and
computation of complex heat transfer and fluid flow. Only the influential work will be considered in this
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 microchannel,
hot dry rock, hydrogen storage and transportation, etc.
Bo Yu Beijing Institute of Petrochemical Technology, China
Shuyu Sun King Abdullah University of Science and Technology, Saudi Arabia
Jinjia Wei Xi’an Jiaotong University, China
Zhiguo Qu Xi’an Jiaotong University, China
Yongtu Liang China University of Petroleum (Beijing), China
Liang Gong China University of Petroleum (East China), China
Weihua Cai Northeast Electric Power University, China
Jianqin Zhu Beihang University, China
Institute of Engineering Thermophysics, China Academy of Sciences, China
Jingfa Li Beijing Institute of Petrochemical Technology, China
S2. Hydraulic Fracturing Problems: Theory, Numerical Simulation, and Experiments
Hydraulic fracturing has become a key technology for increasing production in tight reservoirs such as shale oil and gas, hot dry rocks, and deep carbonate rocks, involving multiple coupled processes such as rock deformation, fluid flow, and crack propagation. Therefore, the problem of hydraulic fracturing is very complex. This topic closely revolves around the latest progress made in hydraulic fracturing of tight reservoirs. We welcome submissions from laboratory experiments, numerical simulations, rock mechanics, and other related aspects to this topic.
Finite element method
Daobing Wang Beijing Institute of Petrochemical Technology, China
Wei Liu China University of Petroleum-Beijing, China
Mao Sheng China University of Petroleum-Beijing, China
Yongliang Wang China University of Mining and Technology-Beijing, China
Jianqiao Hu Institute of Mechanics, Chinese Academy of Sciences, China
Bin Ding Beihang University, China
Qinglei Zeng Beijing Institute of Technology, China
Hai Sun China University of Petroleum-East China, China
S3. Key Technologies for Digital Element Governance
In the age of rapid digital transformation, the digital economy is becoming the backbone of global economic structures. With the integration of technologies such as blockchain, Internet of Things (IoT), machine learning, artificial intelligence (AI), and quantum computing, the governance of digital elements is crucial for ensuring a sustainable and secure digital ecosystem. This proposal aims to shed light on the key technologies that underpin the digital economy and the challenges and solutions related to digital element governance.
The digital economy encompasses a wide range of digital activities, including e-commerce, digital banking, online education, and digital health services. These activities are powered by a plethora of technologies, with AI playing a pivotal role in data analysis, predictive modeling, and automation. AI's capabilities in processing vast amounts of data and making intelligent decisions make it a cornerstone of the digital economy. However, its integration also brings forth challenges related to ethics, bias, and transparency that need to be governed and regulated to ensure security, privacy, and efficiency.
As digital elements become more integrated into our daily lives, from AI-powered smart homes to smart cities, the governance of these elements becomes paramount. This includes ensuring the security of data, the privacy of users, and the interoperability of different digital platforms.
In this special issue, we aim to bring together researchers, industry experts, and policymakers to discuss the key technologies for the digital economy and the challenges and solutions for digital element governance. Potential topics include but are not limited to:
Blockchain and Digital Economy
IoT and Digital Governance
Machine Learning, AI, and Data Privacy:
Quantum Computing and Digital Security
Digital Identity Verification
AI-driven Decision Making and Governance
Regulations and Policies for Digital Governance
Digital Infrastructure and Connectivity
Digital Twin Technologies for Digital Governance
Cybersecurity Challenges in the Digital Economy
Digital Element Interoperability
Ethical Considerations in AI
We believe that this special issue will provide a comprehensive overview of the key technologies for the digital economy, with a special emphasis on the role and challenges of AI, and the solutions for digital element governance. We invite researchers, industry experts, and policymakers to contribute their insights and research findings to this important discussion.
Guangzhou University, China
Guangzhou University, China
S4. Theoretical, Experimental and Numerical Simulation Problems in Oil & Gas Drilling and Completion Engineering
As global oil & gas exploration and development gradually expands to deep formation, deep water and unconventional fields, oil & gas drilling and production face more complex surface environments and geological conditions, which puts forward higher requirements for the development of related technologies. Drilling and completion, as the main method and key link in oil & gas engineering, have the typical characteristics of technology-intensive, large investment and high risk. Its development level is crucial to the highly efficient development of oil and gas resources.
This symposium mainly focuses on basic issues in oil & gas drilling and completion engineering and exchanges relevant research progress and new results, including but not limited to downhole tubular mechanics, multi-phase fluid mechanics in wellbore, near-well rock mechanics, intelligent drilling and completion theory, drilling and completion optimization design, etc. You are very welcome to share your innovative work in theoretical modeling, indoor experiments, numerical simulations, etc. By organizing this symposium, we hope to provide useful references for the innovative development of basic theories in oil & gas engineering and the technological advancement of drilling and completion engineering.
Oil & gas engineering
Drilling and completion
Design and control
Wenjun Huang China University of Petroleum, Beijing, China
Tianshou Ma Southwest Petroleum University, China
Zizhen Wang China University of Petroleum, East China, China
S5. Kinetic Theory - Based Methods in Fluid Dynamics: Recent Advances and Applications
The kinetic theory stems from the statistical mechanics established at the mesoscopic scale. In the area of fluid dynamics, the kinetic theory outperforms the macroscopic interpretations (represented by the Navier-Stokes equations) in theoretical generality: no restrictions from the continuum assumption. Various methods have been developed within the framework of kinetic theory, which include lattice Boltzmann method (LBM), discrete velocity method (DVM), gas kinetic scheme (GKS), unified gas kinetic scheme (UGKS), discrete unified gas kinetic scheme (DUGKS), and many others. These methods play unique and important roles in almost all areas of fluid dynamics studies.
This Symposium aims to be a forum for presenting recent progress in the very active area of kinetic theory-based methods in fluid dynamics. Papers dealing with the development of kinetic-theory-related numerical schemes and their applications to fluid dynamics problems are particularly welcome.
Lattice Boltzmann method
Discrete velocity method
Gas kinetic scheme and others
Kinetic theory-based flux solvers
Flows in porous media
Zhen Chen Shanghai Jiao Tong University, China
Liangqi Zhang Chongqing University, China
Liming Yang Nanjing University of Aeronautics and Astronautics, China
S6. Analysis of Structural Failures Using Numerical Modeling
In the past few years, there has been a significant rise in the quantity of literature focused on instances of building structural failures. This is evident through the release of specialized journals, books, and articles, as well as the growing number of conferences that discuss the examination of real-life examples of structural failure.
Studying actual cases is crucial because it helps identify the reasons for failures. This knowledge can then be used to offer technical support to insurance companies dealing with claims, develop suitable solutions for repairs, gain insights from the failures, and ultimately prevent future occurrences. It's worth noting that the examination of structural failures has consistently contributed to advancements in structural design, leading to the development of new theories, concepts, construction details, and more.
The study of structural failures has been greatly facilitated by numerical modeling, such as the finiteelement method (FEM). The current calculation programs have the ability to perform intricate processes and feature increasingly user-friendly interfaces. With the capabilities of modern computers, it is clear that employing complex numerical models is a suitable approach for analyzing failures in real structures. The ability to perform nonlinear computations enables us to simulate the behavior of structures until they fail or collapse. Nonlinear calculations offer various possibilities, such as considering material yielding and cracking, accommodating large displacements, analyzing intersurface contact areas, and studying buckling phenomena.
Simulating and analyzing structures and infrastructures numerically is a complex task due to the involvement of multiple features and the connection between different domains, which can often be diverse. Therefore, this symposium focuses on the numerical simulation and failure analysis of infrastructural systems. We welcome both theoretical and application papers for this purpose.
Possible submission topics include, but are not limited to:
• Evaluating numerical methods like the finite element method (FEM), extended FEM, finite difference,
mesh free, for analyzing infrastructures.
• Validating numerical techniques through experimental tests.
• Conducting detailed numerical simulations and developing simplified models.
• Performing finite element analysis to study structures under extreme loads such as wind, seismic, and wave forces.
• Simulating coupled systems involving structures, such as fluid-structure interaction and soil-structure
• Modeling the nonlinear behavior of large-scale structures, including material and geometric nonlinearities.
• Quantifying uncertainties in structural systems exposed to multiple hazards.
• Integrating machine learning and soft computing techniques with numerical simulations.
• Presenting case studies on various structures (such as reinforced concrete and steel framed buildings,high-rise towers) and infrastructures like dams, bridges, nuclear containment vessels, tunnels, wind turbines, and offshore platforms.
The manuscripts that are submitted for this Symposium will undergo a peer review process prior to being published.
Dynamics multiscale modelling
Non-linear behaviour finite element modelling
Civil engineering structures
Strengthening and repair
S. M. Anas Department of Civil Engineering, Faculty of Engineering and Technology, Jamia Millia Islamia (A Central
University), New Delhi, India
Hadee Mohammed Najm Civil Engineering Department, Bilad Alrafidain University College, Iraq
Guangxi University, China
S7. Experimental Studies and Computer Modeling of Natural Gas Production from Marine Gas Hydrate Deposits
The huge amount of natural gas hydrates in marine deposits found in many regions of the world have been
increasing attractive in recent years for energy security and transition. Owing to the clayey-silt nature of
shallow marine deposits, producing natural gas from gas hydrates is extremely challenging. Encountered
problems include low production rate, silt/sand production, and wellbore collapse. These problems
shorten the period of stable gas production which hinders commercial exploitation of gas hydrate fields.
To improve the efficiency of gas production from gas hydrate reservoirs, large scale and in-depth scientific
research efforts are highly demanded. This symposium provides a platform for researchers to share their
recent accomplishments in the research area. The symposium particularly focuses on experimental studies
and computer modeling of natural gas production processes from the marine gas hydrate reservoirs. It is
expected that symposium attendees will learn from each other about new ideas and achievements for
solving the problems and improving the efficiency of natural gas production from marine gas hydrate
sediments. The symposium will cover, but not limited to, the following topics:
- Characterization of marine gas hydrate deposits
- Advances in research in decomposition of gas hydrates
- Geothermal stimulation of gas hydrate reservoirs
- Wellbore stability in marine gas hydrate sediments
- Control of sand/silt production from clayey-silt deposits
- New well completion methods for marine gas hydrate production
- Efficiency of CH4-CO2 swapping processes
- CO2 storage in gas hydrate reservoirs
Marine gas hydrate
University of Louisiana at Lafayette, USA
Jun Li China University of Petroleum-Beijing, China
Southwest Petroleum University, China
Fuping Feng Northeast Petroleum University, China
Baojiang Sun China University of Petroleum-Huadong, China
Dawei Liu University of Guangdong Petrochemical Engineering, China
S8. Modeling of Damage and Fracture of Materials and Structures in Engineering
Modeling of damage and fracture 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 damage and fracture of materials and structures.
The topics covered include but not limited to:
Advances in theories, models and numerical methods for damage and fracture analysis;
Multi-scale models and methods for damage and fracture analysis;
Damage and fracture modeling in fluid-structure-interaction, thermo-mechanical coupling, and other
Dynamic fracture modeling;
Data-driven modeling for failure analysis;
Damage and Fracture in Engineering structures.
Damage and fracture
Phase field method
Hohai University, China
Wuhan University, China
Yan Liu Tsinghua University, China
Lisheng Liu Wuhan University of Technology, China
Ziguang Chen Huazhong University of Science and Technology, China
Zhanqi Cheng Zhengzhou University, China
S9. Computational Particle Dynamics
The recent decades have witnessed rapid advances in particle methods such as smoothed particle hydrodynamics, dissipative particle dynamics, and molecular dynamics. Particle methods have different numerical schemes from the grid-based numerical methods and have attracted more and more researchers from all over the world for various applications. This mini-symposium focuses on particle methods for dynamic problems from continuum to discrete material, from macro scale to micro scale, from novel algorithms to constructive modifications, and from numerical methods to engineering applications. In a word, the mini-symposium aims to provide an international forum for the presentation and showcase of recent advances in various aspects of particle methods and their applications in engineering and sciences. The particle methods include, but are not limited to:
1) Smoothed Particle Hydrodynamics (SPH)
2) Discrete Element Method (DEM)
3) Moving Particle Semi-implicit Method (MPS)
4) Material Point Method (MPM)
5) Dissipative Particle Dynamics (DPD)
6) Molecular Dynamics (MD)
Tongji University, China
Augsburg University, Germany
Moubin Liu Peking University, China
S10. Advances in Physical Modeling and Numerical Simulation of Underground Hydrogen and CO2 Storage
Hydrogen (H2) storage is one of the main bottlenecks restricting the utilization of hydrogen energy. Underground hydrogen and CO2 storage (UHCS) are one of the possible solutions for large-scale clean energy storage to achieve carbon neutrality. The complexities of UHCS lie in strong gas-brine-rockmicroorganism chemical interactions, multiple occurrence-transport mechanisms, possible leakage through cap rocks and dynamic multi-scale migration. This symposium is dedicated to the achievements done on theoretic, experimental, and numerical studies on UHCS with an emphasis on new experimental and numerical techniques, new physical insights, incorporation of advanced physical and chemical models, and upscaling to the continuum scale, showcasing the recent advances in experiment and simulation of UHCS.
We are particularly looking for research on core experiments, molecular dynamic simulations, pore-scale transport modelling and field-scale numerical simulations related to UHCS. This symposium will cover topics of interest that include, but are not limited to, the following:
1. Physical property of H2/ CO2 in confined pore spaces
2. H2/CO2 in-situ displacement experiments
3. Caprock H2/CO2 leakage assessment
4. Phase equilibrium modelling during UHCS 5. H2/CO2-brine-rock-microbial biogeochemical reactions
6. H2/CO2 occurrence-transport mechanisms in subsurface
7. Multi-scale H2/CO2 migration simulations
8. Controlling methods to reduce gas losses
9. Deep learning based UHCS simulation
Underground hydrogen and CO2 storage
Pore scale transport mechanisms
China University of Petroleum (Beijing), China
Chengdu University of Technology, China
Mingyu Cai CNPC Research Institute of Safety and Environmental Technology, China
Cunqi Jia The University of Texas at Austin, USA
S11. Multi-physics modelling of Damage and Fracture of Smart and Advanced Materials
With the rapid development of modern science and technology, a variety of smart and advanced materials, such as piezoelectric ceramics, multiferroic composites, shape memory materials, ultra-high temperature ceramics, and thermal protection composites, have emerged to satisfy various specific requirements in the advanced industry. In engineering practice, these advanced materials are often subjected to the impact of multi-physics fields, which significantly affect their mechanical response and failure behaviors. Due to the coupling of multi-physics fields, the mathematical equations involved in the corresponding failure theory become notoriously complicated and tedious, and the exact solutions for the damage and fracture problems become extremely difficult. To address the challenge in multi-physics simulations of advanced materials, various mathematical models and numerical methods have been proposed in the past two decades, such as the phase-field model and peridynamics.
The symposium will cover, but is not limited to, the following topics:
Advances in theories, models, and numerical methods for multi-physics coupling problems
Damage and fracture of piezoelectric, ferroelectric, electromagnetic, and multiferroic materials
Electro-chemical failures, stress corrosion, and corrosion fatigue
Damage and fracture of lithium battery materials
Damage and fracture of composites in multi-physics environments
Fracture mechanics of quasicrystals
Thermo-hydro-mechanical coupling cracking
Damage and fracture of metamaterials
Thermo-mechanical failure of smart polymer materials
Damage and fracture
Smart and advanced materials
Department of Mechanics and Engineering, Sichuan University, China
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore
Kaijuan Chen School of Mechanics and Aerospace Engineering, Southwest Jiaotong University, China
Dingyu Li School of Civil Engineering and Architecture, Chongqing University of Science and Technology, China
Haidong Fan Department of Mechanics and Engineering, Sichuan University, China
Xiaobao Tian Department of Mechanics and Engineering, Sichuan University, China
S12. Computation and Experiment in Offshore Structures
Offshore oil and gas and new energy are major resources to ensure a sustainable industrial development in the future. Offshore structure is the key equipment oriented to marine development, marine utilization and marine protection. It involves many disciplines such as manufacturing, structural design, artificial intelligence, environmental survey, automation and automatic control. Theoretical and numerical calculation, simulation experiments are important technologies for offshore structures to solve practical problems, and they finally make it possible to understand the ocean.
Recognizing the growing importance and interest of Theoretical and numerical calculation, simulation experiments in offshore structures, we are pleased to introduce a mini-symposium dedicated to advanced computing algorithms for computation and more efficient methods in experiment. At the same time, we particularly welcome comments describing the current state of technology. We focus on topics, including but not limited to offshore oil engineering, subsea production system, offshore platform, marine risers and pipelines, intelligent design and manufacture of marine equipment, structural safety and reliability, intelligent monitoring and operation.
S13. Recent Advances, Techniques and Challenges for Internet of Everything
Future wireless environments will rely on massive machine-type communications and the Internet of Everything (IoE) to enable an increasingly intelligent world with ambient-assisted living, smart controlling, and real-time data monitoring. The integration of radar sensing, positioning and communication in the same spectrum is likely to be one of the key techniques in B5G and 6G IoE wireless systems. A joint design of Radar and communication functions will improve the efficiency of spectrum usage, and will offer the opportunity of providing Radar as a service like communications today. Recent advances techniques such as reconfigurable intelligent surfaces (RISs), ambient backscatter and non-orthogonal multiple access (NOMA), mmWave/Terahertz communications, massive MIMO and machine learning, among others, are making this vision possible, but many technical challenges still remain, from hardware up to the application layer. Therefore, the advanced techniques for IoE is the subject of rapidly growing interest in the research community, and this symposium aims to bring together researchers, industry practitioners, and individuals working on the related areas to share their new ideas, latest findings, and state-of-the-art results.
Scope and topics of the Symposium:
This symposium aims to bring together researchers, industry practitioners, and individuals working on the related areas to share their new ideas, latest findings, and state-of-the-art results. List of potential topics
to be covered by the special issue include, but are not limited to:
Joint Radar and communication design for IoE
Machine learning/Network Intelligence for IoE
Ambient Backscatter Communications for IoE
MIMO/Massive MIMO/Terahertz communication/Reconfigurable Intelligent Surface for IoE
Security and privacy issues for IoE
Indoor sensing/positioning/detection for IoE
NGMA-based IoE networks
Radar sensing/signal processing for IoE
Network architectures/transmission protocols/frame designs for IoE
Ambient Backscatter Communications, Internet of Everything (IoE), Joint Radar and communications, Next Generation Multiple Access (NGMA), Reconfigurable Intelligent Surfaces
Henan Polytechnic University, China
Henan Polytechnic University, China
Ji Wang Central China Normal University, China
Khaled M. Rabie Manchester Metropolitan University, UK
S14. Application of Image Processing in Structural Health Monitoring
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 Image Processing in civil engineering – related areas has been observed, leading to many exciting and innovative applications. Image Processing 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).
The mini symposium at ICCES2024 will provide an overview of the present thinking and state-of-the-art developments on the Application of Image Processing in Structural Health Monitoring. The proposed collection of papers will include the latest research work from scientists and engineers working in different areas of Image Processing, covering all of its aspects related to civil engineering.
The different topics include but are not limited to: • Structural engineering • Forensic analysis • Transportation engineering • Computational mechanics • Structural health monitoring • Engineering materials (concrete, steel, composite materials, etc) • Concrete and Timber Inspections • Railway Engineering
University of Engineering and Technology, Taxila, Pakistan
University of Engineering and Technology, Taxila, Pakistan
The University of Memphis, USA
S15. Big Data and AI in Structural Health Monitoring: Smart Sensors, Computational Modeling, and Application
Data-driven intelligent algorithm has been an innovation for structural health monitoring for critical infrastructure projects, including but not limited to high-rise buildings, long-span bridges, underground transportation systems, lifeline structures, ocean platforms, nuclear power plants, etc., and will play a crucial role in the concept of Construction 4.0. This topic revolves around the latest progress made in the application of big data and AI for structural health monitoring. We welcome submissions from numerical simulation, laboratory experiments, and engineering applications of recent advances in sensor technologies and data acquisition systems, AI-based methods for damage identification, the integration of Digital Twin, computer vision, and other related technologies in structural health monitoring.
Structural health monitoring
Artificial neural network
Dalian University of Technology, China
TSA Group, Inc., Dallas, USA
S16. Visual Inspection Techniques and Their Applications: Theory, Network Modeling, Computation and Experiments
With the rapid development of computer and artificial intelligence-related technologies, machine vision technology has been widely used in various fields, such as the use of vision technology for product, machining or assembly quality inspection, the perception of static or dynamic environment, the measurement of structure and cracks. The symposium will be organized around, but is not limited to, the following topics: image processing, theoretical graphing and graphical computation, machine vision and deep learning, defect detection, crack and life prediction, dimensional measurement and robotics. we will bring together researchers, industry experts, and technology enthusiasts to discuss the key technologies in machine vision and its applications, such as graphical computation, experiment and its expanded application in machine vision and robotics, and discuss the technical application of engineering measurement, product detection, motion attitude control, welding seam inspection, material crack recognition and related experiments involved in the industrial field. Additionally, technical discussions on ultrasonic imaging, magneto-optical imaging and other techniques for detecting internal defects or structures based on graphical computation and computer vision theory will be carried out. We welcome submissions from machine vision, defect detection, dimensional measurement, neural network modeling, mechanical fracture automatic detection, and other related computation and experiments to this topic.
Theoretical graphics, machine vision, computer vision, robotics, deep learning, defect detection, dimensional measurement, CNN, network modeling, computation and experiments
Yiwu Industrial & Commercial College, China
Shenyang Jianzhu University, China
S17. Structural Health Monitoring of Composite Structure
Composite structures have excellent damage tolerance, outstanding structural efficiency, and good design ability, which is widely used in aerospace structural components. With the improvement of equipment performance, the health monitoring of Composite structure is increasingly becoming a topic of concern. Because of the complexity of composites design and the diversity of composite materials, its failure mechanism is very complex, and its reliability analysis is faced with great challenges. It involves not only such as layer angle and layer thickness, but also the influence of other parameters. Besides, the structural deformation monitor is an important factor developing the composite structure. Therefore, we need to carry out failure mechanism research, and quantify the uncertain factors of design, molding, machining, and assembly for composites, and then develop reliability analysis methods to improve the reliability of composite structures.
This Symposium will focus on:
The failure behaviors and mechanical properties of composite structures
New experimental techniques and theoretical studies
Full-field strain and displacement measurements
Northwestern Polytechnical University, China
Xidian University, China
Fan Yang Jiangsu University of Science and Technology, China
Junqing Yin Xi’an Polytechnic University, China
S18. Internet Privacy Information Protection
Over the past several decades, billions of people have participated in the Internet to exchange information. Increasing users brings increasing amount of privacy information on Internet. Simultaneously, privacy security becomes a big concern of Internet users.
To protect privacy information on Internet, traditional solutions are using cryptography to transform the plaintext information into incomprehensible ciphertext information which can only be decrypted by selected decryption keys’ owner. Cryptographic means protect privacy information from unauthorized decryption to understand the information content. However, the encrypted privacy information still reveals its existence on the Internet, which may cause potential privacy risks. Steganography offers a much different choice for privacy information protection. By embedding secret message into cover message, steganography can cover the existence of the secret message.
On the other hand, there are different types of privacy information on the Internet, including multimedia, text, and etc. With the developing of artificial intelligence, a lot of deep learning methods have been proposed to analyze Internet/Web big data to mine privacy information. Advanced artificial intelligence technologies including generative adversarial network and large language model have promoted AI based privacy information protection means to cope with these new challenges to user’s Internet privacy information.
This symposium is aimed at academic and industrial researchers interested in the privacy information protection methods, with a particular emphasis on novel and highly efficient methodologies that have the potential to be used in Internet applications.
Large language model privacy, Multimedia privacy, Cryptography for privacy, Steganography and Steganalysis for privacy, Watermarking for privacy, Access Control for privacy, Differential privacy, Text analysis for privacy, Social network analysis for privacy, Secure data mining, Federated learning for privacy, Privacy-preserving information forensics.
Beijing University of Posts and Telecommunications, China
Tsinghua University, China
S19. Computational and Applied Mechanics of Emerging Building Materials and Structures
In order to better realize structural functions (such as strength, stiffness, stability, durability, safety, etc.) or to meet new performance requirements (such as self-healing, green building, carbon footprint, intelligent construction, etc.), the research and development of new building materials and new structural forms in civil engineering (including buildings, roads, bridges, infrastructure, marine structures, etc) is becoming more and more important. The interdisciplinary engineering nature of computational and applied mechanics for emerging building materials and structures brings together the research interests of civil engineering, mechanics and materials science and engineering.
On the one hand, computational and applied mechanics play a key role in analyzing and evaluating the physical-mechanical properties and application performance of emerging building materials and structures. This will rely on the development of new testing techniques, new theoretical models, and new numerical and computational methods. On the other hand, after answering the questions of "how good it’s" and "why is it so good", computational and applied mechanics may play an important role in the prediction and design of new materials and structures, that is, to answer the question of "how can it be better". Therefore, this mini symposium hopes to collect the latest advances in computational mechanics and applied mechanics of emerging building materials and structures in both areas. We hope to attract and obtain the contributions across civil engineering, mechanics and materials science and engineering, among others, allowing for creating a multidisciplinary collection of innovative works and stimulating further discussions on these ground-breaking topics. Participants of this symposium are encouraged submit their extended conference papers to our Special Issue with the same title on Frontiers in Built Environment.
Computational mechanics; Applied mechanics; Emerging building materials and structures; Civil engineering; Materials science and engineering
Wuhan University of Technology, China
Cardiff University, UK
S20. Multiscale Biomechanics and Bio-inspired Engineering
Nature has long been an unparalleled source of inspiration for innovative solutions, and this symposium will explore how understanding biomechanical principles at various scales can pave the way for groundbreaking bio-inspired designs. This symposium aims to bring together researchers from diverse backgrounds ranging from physics, engineering, materials to biology and medicine to delve into the fascinating realm of multiscale biomechanics and its application in bio-inspired designs. Participants will gain insights into the latest advancements in multiscale biomechanics and bio-inspired design, fostering a collaborative environment for future research and innovation. By bridging the gap between biological principles and engineering applications, this symposium will pave the way for transformative solutions inspired by nature.
Abstracts are sought in areas described below but not limited to the following: • Experimental methods in biomechanics • Mechanobiology and cell mechanics • Morphogenesis of biological systems at various length scales • Theoretical and computational modeling of subcellular, cellular and tissue mechanics • Mechanical characterization of biological materials and structures • Design and fabrication of bio-inspired materials and structures for various applications
Nanyang Technological University, Singapore
University of Nebraska-Lincoln, USA
Linfeng Xu Xi’an Jiaotong University, China
S21. Microfluids and Nanofluidics, and Solid-Liquid Interfaces
Mechanics in microfluidics, nanofluidics and corresponding solid-liquid interfaces has advanced rapidly over the past several decades. It has become a cutting‐edge subject and has great application potential in biochemistry, human health, new energy, advanced materials, and so forth. From the perspective of hydrodynamics, on the one hand, fluidic devices enable us to obtain unprecedented ability to manipulate the microfluid and the transport of micro/nano particles in the fluid. On the other hand, micro/nano fluids show flow characteristics and laws different from those at the macro scale. In-depth exploration of related flow mechanisms and the fluid-solid interface is the premise and basis for realizing micro/nano flow and transport control. Thus, the topics of this symposium covers topics contributing to a better understanding of micro/nano-fluidic systems, solid-fluid interfaces, nanostructures and their mechanism and applications, also including the atomic and molecular level of material properties determined with specific surface analytical techniques and/or computational methods, as well as the processing of such structures. Potential topics of this mini-symposium include but are not limited to:
(1) Mechanics in surface engineering and functionalization of solid-fluid micro/nano-systems, including confined fluids (2) Micro/nano-scale functional surfaces/interfaces and coatings for flow transport or fluid control (3) Surface/interface nanotechnology and devices in micro/nanofluidic systems (4) Mechanical properties of novel functional nanostructured materials (including low-d carbon) in fluid-solid coupled systems (5) Novel computational method, and measurement & characterization technologies in micro/nano-fluidics (6) Fundamental principles of micro- and nanoscale fluid phenomena like, flow, mass transport and reactions (7) Motion behaviors of micro- and nanoscale droplets or bubbles on the nanostructured or functional surfaces (9) Micro/nano-fluidic mechanism in lab-on-a-chip applications
S22. Failure Analysis and Prevention for Engineering Structures
Conducting thorough failure analysis and offering proactive prevention strategies are crucial for refining structural design and mitigating the risk of further failures in engineering structures. The in-service environment of advanced structures has evolved into a realm of increasing complexity, rendering the failure mechanisms more intricate. Consequently, failure analysis and prevention have transformed into multifaceted events within various disciplines. This symposium brings together researchers and engineers to unravel the complexities surrounding the failure analysis and prevention for engineering structures. Discussions will encompass cutting-edge research, innovative methodologies for failure analysis, comprehensive damage assessment, and strategies for failure prevention. The topics of interests include, but are not limited to: • Failure mechanisms • Identification of failure causes • Failure preventive action • Damage characterization • Structural integrity assessment • Constitutive model • Fracture analysis • Contact fatigue • Creep, fatigue, and creep-fatigue damage • Corrosion and corrosion-fatigue problems
Failure causes, fatigue and fracture mechancis, failure of materials and structures, failure prevention