MS Title:
Advances in Risk Assessment and Resilience Enhancement of Bridge Infrastructure
Description:
Bridges are critical structures that cross natural or manmade obstacles for the purpose of facilitating road and railway transportation. Tens of millions of bridges have been constructed around the world, constituting essential components of modern transportation infrastructure. However, various sources of risks, such as the degradation effects, weather- or geo-related hazards, and manmade shocks, challenge the safety and serviceability of bridges in uncertain environments. It is therefore vital to properly assess and track these risks throughout the design, construction, and management of bridge projects. In recent years, many artificial intelligence-based methods have been proposed to advance the assessment of bridge states and the quantification of associated risks. Additionally, engineers are actively developing diverse strategies to enhance the reliability and resilience of bridges against disturbances, including optimizing the bridge structural system, adopting innovative control devices, and applying higher-performance materials. The proposed session will encompass various areas associated with risk analysis and resilience enhancement of bridge infrastructure in order to support more sustainable and high-quality developments. Areas of interest include but are not limited to numerical modeling and analysis techniques for performance assessment of bridges, component- and system-level reliability analysis methods, resilience analysis of infrastructure networks, reliability- or resilience-based design optimization, and long-term performance assessment and enhancement of bridges. Contributions that apply new methods and strategies to realistic bridge problems or present a clear pathway for their application are highly encouraged.
Session Chairs:
Jinsong Zhu, Tianjin University, Tianjin, China, E-mail: jszhu@tju.edu.cn
Bo Sun, Zhejiang University of Technology, Zhejiang Province, China, E-mail: sunbo2017@zjut.edu.cn
Chaolin Song, Tongji University, Shanghai, China, E-mail: songcl@tongji.edu.cn
Zeyu Wang, China University of Geosciences, Beijing, China, E-mail: zeyu_wang@cugb.edu.cn
Abdollah Shafieezadeh, The Ohio State University, Columbus, OH, United States, E-mail: shafieezadeh.1@osu.edu