Seismic Resilient Structures
Organizers	Bin Wang, Professor, Department of Civil Engineering, Sichuan University, Chengdu, China. E-mail: bin.wang@scu.edu.cn
Abstract	The traditional seismic design philosophy allows buildings to experience significant inelastic deformation to dissipate energy through plastic hinge regions when subjected to moderate-to-strong earthquakes. Though such a design philosophy has been proved adequate to achieve life safety, it may result in excessive damage and residual drifts that are associated with significant repair costs and downtime. These facts indicate that the traditional seismic design philosophy does not consider rapid recovery to normal serviceability after a severe earthquake and cannot meet the requirements of resilient and sustainable city. To address this issue, there is a growing interest in developing seismic resilient structures and devices with the goal of achieving low-damage behaviour and post-earthquake resilience. The main objective of this symposium is to report the latest developments in seismic resilient structures and devices. In particular, the symposium invites papers and speakers presenting the state-of-the-art and state-of-the-practice in self-centering frames or walls, rocking structures, replaceable structural fuse components, dampers and isolators, high-performance materials in civil engineering, or other structural systems for low-damage seismic performance. This symposium will invite scholars in this important research field from different countries or regions, and it is expected to provide an international forum for exchanging innovative ideas and design methods, identifying future perspectives and challenges, and promoting collaborations among the speakers and attendees.

IJSSD Symposium 2024: Advances in Structural Stability and Dynamics
Organizers	Prof Xiangying Guo, Beijing University of Technology (eagle2008guo@yeah.net) Prof Hong Zhang, Beijing Institute of Technology (hong.zhang@bit.edu.cn) A/Prof Wenhao Pan, Zhejiang University (pan_wh@zju.edu.cn)
Abstract	The IJSSD Symposium 2024 provides a forum for academics, professional structural and construction engineers, researchers and graduate students working in Asia and the Pacific region to present recent advances in research and developments on structural stability and dynamics. The IJSSD symposium will have a number of technical sessions that will cover a broad range of topics given below. • Buckling and Postbuckling Responses • Static and Dynamic Stability • Nonlinear Analysis of Material and Geometry • Thin-Walled Structures • Smart Structures • Inverse Problems • Biomechanics • Micro/Nano-mechanics • Active and Passive Control • Floating Structures • Composite Structures and Functionally Graded Structures • Plates and Shells • Structural health monitoring • Multi-body dynamics

Structural Health Monitoring and Damage Identification Under Changing Environment and Operational Conditions
Organizers	Prof. Dongsheng Li, Department of Civil & Environmental Engineering, Shantou University, Shantou, China, Email: lids@stu.edu.cn Dr. Jiezhong Huang, Department of Civil & Environmental Engineering, Shantou University, Shantou, China.
Abstract	Structural health monitoring (SHM) has received considerable attention for the last two decades. Regarding the broad industrial application of different approaches The “problem” is being able to detect, locate and assess the extent of damages in a real structure in-situ so that its remaining life can be known and possibly extended. However, an SHM system for in-situ or in-service structures poses many significant technical challenges. One of the main obstacles is the environmental and operational variation of structures. In fact, these changes can often mask subtler structural changes caused by damage. In most cases, the so-called damage-sensitive features employed in conventional damage detection techniques are also sensitive to changes in environmental and operational conditions (EOC) of structures. Therefore, we solicit papers that at one hand show the influences of EOC on damage identification and the limitation of existing approaches. On the other hand we need papers presenting new technologies to remove the EOC effects on damage sensitive features, damage indicators or damage identification approaches. At the same time, we are looking for papers presenting the EOC-insensitive features extracted from monitoring data of structures in-situ. Other research about data analysis and signal processing techniques with respect to structures under EOC-influences is also welcomed. We expect submissions addressing any of the following challenges: • Techniques for separating EOC effects from structural damage • Structural health monitoring under operating conditions • Long-term monitoring and data analysis of structures like bridges or wind turbines • Temperature and humidity EOC- effects like temperature or humidity, etc. on structural responses • Data fusion-based structural damage detection under varying EOC. • Statistical damage detection considering environmental influences • EOC-effects and their compensation on vibration-, guided waves-, acoustic-emission- or radar-based methods • Feature extraction for SHM under changing EOC.

Structural Vibration Control of Engineering Structures against Multiple Dynamic Hazards
Organizers	Dr. Haoran Zuo, Curtin University, Australia, Email: haoran.zuo@curtin.edu.au; haoranzuotj@gmail.com Prof. Zheng Lu, Tongji University, China, Email: luzheng111@tongji.edu.cn Dr. Ruisheng Ma, Beijing University of Technology, China, Email: ruishengma@bjut.edu.cn
Abstract	Taller and slender engineering structures, such as high-rise buildings, long-span cross-sea bridges, wind turbines, and floating platforms, are often situated in regions with high-intensity dynamic hazards and challenging marine environments. These structures face vulnerabilities to various external dynamic loads, including winds, earthquakes, sea waves, construction or subway-induced vibrations. It is crucial to explore and disseminate the most recent research, technologies, and methodologies in the field of structural vibration control to enhance the resilience and safety of engineering structures. This symposium aims to bring together leading experts, researchers, engineers, and practitioners from around the world to foster collaboration, share knowledge, and discuss innovations in structural vibration control. By uniting experts from diverse backgrounds, we will explore groundbreaking solutions to mitigate the risks associated with dynamic hazards. This symposium will encompass a wide range of topics including but not limited to advanced vibration control strategies (such as simultaneous control and energy harvesting, control algorithms assisted by artificial intelligence), seismic retrofitting techniques, wind/earthquake-induced vibration mitigation/isolation, construction/subway-induced vibration control/isolation, novel control devices (inerter, negative stiffness, nonlinear energy sinks, particle dampers, metamaterials). This symposium will provide a unique platform for participants to gain insights into cutting-edge research, exchange ideas, and build collaborative networks. It offers a valuable opportunity to stay updated on the latest developments in structural vibration control and its application to protect critical engineering structures.

Bayesian System Identification of Civil Engineering Structures
Organizers	Assoc. Prof. Jia-Hua Yang, Guangxi University, China, Email: javayang@gxu.edu.cn Prof. Heung-Fai Lam, City University of Hong Kong, Hong Kong, Email: paullam@cityu.edu.hk
Abstract	Significant efforts have been devoted to system identification of civil engineering structures utilizing measured dynamic data, which includes modal identification, model updating, model class selection and structural damage detection. Due to the problems of modeling error, measurement noise and incomplete measurement, the results of system identification are uncertain in nature. The main purpose of this special session is to review the state-of-the-art methods for identifying the systems and quantifying the associated uncertainties of large-scale civil engineering structures following the Bayesian approach. This symposium covers the theoretical formulation, algorithmic development, numerical and experimental case studies, modal identification using field test data, model updating, force or traffic load identification, damage detection of civil engineering structures following the Bayesian approach. Possible topics include but not limited to: • Bayesian modal identification under various excitations, e.g., ambient and seismic excitations • Bayesian model updating utilizing sampling techniques (e.g., sequential Monte Carlo, MCMC, TMCMC, Gibbs sampling), variational Bayesian methods • Probabilistic structural damage detection • Sparse Bayesian technique for load identification • Bayesian learning in system identification

Artificial Intelligence in Structural Health Monitoring
Organizers	Assoc. Prof. Jun Hu, Wuhan University of Technology, China, Email: junhu22@whut.edu.cn Prof. Heung-Fai Lam, City University of Hong Kong, Hong Kong, Email: paullam@cityu.edu.hk
Abstract	Structural Health Monitoring (SHM) encompasses a wide range of fields and finds extensive applications across various industrial sectors. SHM is a comprehensive technology aimed at real-time monitoring and assessment of the condition of various structures, including buildings, bridges, tunnels, pipelines, aircraft, ships, and more. Its objective is to ensure the safety, reliability, and performance of these structures, thereby reducing damage and maintenance costs while extending their lifespan. SHM encompasses several key areas such as structural modal identification, model updating, damage detection, water seepage identification, object location monitoring, load identification, and temperature identification. In the industrial sector, SHM has found widespread applications, including monitoring of complex structures, digital twins in aerospace, manufacturing, construction and energy industry. SHM technology contributes to predicting and preventing potential issues, improving equipment and structural availability, reducing the risk of accidents, and lowering maintenance costs. However, the SHM field still faces several challenges, including the complexity of data processing and interpretation, sensor selection and placement, and the development of real-time monitoring systems.The purpose of this symposium is to showcase state-of-the-art theoretical approaches and technologies, promote academic exchange among peers, and collaboratively explore solutions to the challenges in the SHM field, thus advancing its depth of development. Progress in AI-based SHM methods and application, developments of novel deep neural networks and data processing algorithms are welcomed in this session.

Advances in Materials and Structural Engineering
Organizers	Prof. Chang-Wei Huang, Department of Civil Engineering, Chung Yuan Christian University, Taoyuan, Taiwan, E-mail: cwhuang@cycu.edu.tw
Abstract	In the dynamic field of civil engineering, continuous advances in materials science and structural engineering are crucial for the creation of innovative, sustainable and resilient structures. Recent advances in materials and structural engineering have enabled us to make potential impacts on future practice of structural engineering and construction. We propose a symposium entitled "Advances in Materials and Structural Engineering" to provide a collaborative platform for researchers, academics and industry professionals to share their latest findings, breakthroughs and experiences in pushing the boundaries of material and structural engineering. The objective of this special session is to provide a forum for researchers and professional engineers to present recent progress in research and applications on the area of materials and structures. Topics relevant to the special session include (but not limited to): • Advances in materials for civil engineering applications • Innovative structural engineering methodologies • Sustainable construction materials and practices • Integration of Artificial Intelligence and Machine Learning • Case studies demonstrating practical implementation • Challenges and future directions in material and structural engineering

Contract and Legal Affairs in Construction
Organizers	Assoc. Prof. Seng Hansen, Universitas Agung Podomoro, Indonesia, Email: seng.hansen@podomorouniversity.ac.id
Abstract	Construction projects involve many parties and interests in its implementation. Apart from that, various risks and uncertainties that arise also become challenges in this dynamic industry. To avoid conflicts that may occur during the execution of construction works, contract management and compliance with legal aspects are key factors in achieving project objectives. This symposium aims to gather theoretical and practical knowledge from construction scholars and practitioners who focus on aspects of contracts and legal affairs in construction. This symposium invites scholars and practitioners to present their research topics related but not limited to construction contract management, construction claim management, legal aspects in the construction industry, and construction dispute resolutions. This symposium encourages the participation from various parts of the world to exchange information and best practices related to contract management and legal affairs in the construction sector. This is crucial considering that various challenges in construction projects require diverse perspectives and innovativeideas, especially in terms of contract management and legal compliance.

Australian Network of Structural Health Monitoring (ANSHM) mini-symposium: Emerging techniques for structural health monitoring of civil infrastructure
Organizers	Assoc. Prof. Jun Li, Curtin University, Australia. Email: junli@curtin.edu.au Prof. Hong Guan, Griffith University, Australia. Email: h.guan@griffith.edu.au Prof. Tommy Chan, Queensland University of Technology (QUT), Australia. Email: tommy.chan@qut.edu.au
Abstract	The objective of this ANSHM mini-symposium is to present the recent research advances on emerging techniques for structural health monitoring of civil engineering structures. The audience may benefit from the proposed mini-symposium to acquire in-depth understanding and recognition of achievements in structural health monitoring research activities utilising new technologies, such as, computer vision, IoT techniques, artificial intelligence, smart sensing, digital transformation, machine learning techniques, and data analytics, etc. Engineering applications of these techniques to real-world structures are also welcome for presentation.

Advanced concrete technology and composite structures
Organizers	Prof. F.M. Ren, Guangzhou University, China. Email: rfm@gzhu.edu.cn Dr. J.C.M. Ho, University of Queensland, Australia. Email: johnny.ho@uq.edu.au Prof. Z.W. Yu, Guangzhou University, China. Dr. M.H. Lai, Guangzhou University, China, Email: laimianheng@gzhu.edu.cn
Abstract	The symposium explores the forefront of innovation and application in civil engineering materials. Highlighting the latest developments, this symposium brings together researchers, practitioners, and industry professionals to delve into the intricate realm of concrete technology and composite structures. Topics include novel materials, sustainable design for concrete to mitigate carbon footprint, structural performance of sustainable concrete-composite structure, and advanced construction methodologies. Through interdisciplinary discussions and case studies, participants will uncover the challenges and opportunities in enhancing durability, resilience, and sustainability in infrastructure. This symposium serves as a platform for knowledge exchange, fostering collaboration and driving forward the evolution of concrete technology and composite structures to meet the demands of our ever-changing built environment.