MS65 Dual-Driven Probabilistic Damage and Failure Assessment of Engineering Structures under Hazards

Prof.Decheng Feng : dcfeng@seu.edu.cn

Session Chairs: 
Decheng Feng, Associate Professor, Southeast University, dcfeng@seu.edu.cn
Zhen Sun, Postdoctoral researcher, Univercity of Porto, sunzhen08@gmail.com, sun@fe.up.pt
Yue Li, Professor, Case Western Reserve University, yue.li10@case.edu

Abstract of the special session:
Engineering structures are under the threat of different sources of hazards, e.g., earthquakes, hurricanes, tsunamis, blast loads, etc., which may cause damage and even failure of the structures. To quantify the damage extent and ensure the structural safety, it is of great importance to develop reliable damage analysis and/or performance assessment methods, which should also account for different sources of uncertainties, as they will have a significant effect on the final results. Up to date, there are two major families of methods in this field, i.e., mechanics-driven and data-driven. Mechanics-driven approaches have a solid physical background while data-driven approaches are more rapid and robust. To take full advantage of both approaches, it is also popular to combine them for a better solution. The objective of this special session is to bring together researchers and engineers to present, discuss and exchange the latest developments in relevant fields. Fundamental researches and practical applications are both welcome.

Topics of interest include but are not limited to:

• Efficient probabilistic analysis methods for large-scale structures
• Stochastic Finite Element Methods for engineering damage/failure analysis
• Rapid prediction techniques of damage and failure using different sources of data
• Uncertainty propagation across scales in engineering damage and failure processes
• Time dependent/independent reliability analysis of engineering structures
• Application of AI in damage analysis and/or assessment