MS58 Implementation of Artificial Intelligence and Digital Technologies in Disaster Risk Assessment and Simulation of Civil Infrastructure under Extreme Events
Prof. Fulvio Parisi: fulvio.parisi@unina.it
Session Chairs:
Dr. Emanuele Brunesi , EUCENTRE, Pavia, Italy, emanuele.brunesi@eucentre.it
Prof. Xinzheng Lu , Tsinghua University, Beijing, China, luxz@tsinghua.edu.cn
Prof. Fulvio Parisi , University of Naples Federico II, Naples, Italy, fulvio.parisi@unina.it
Abstract of the special session:
The performance-based engineering (PBE) framework for structural design and assessment has been gradually incorporated in building codes at both national and international levels. Probabilistic methodologies for quantitative risk analysis of civil infrastructure have been originally formulated and implemented in the field of earthquake engineering, with only a few pioneering studies on structural safety and loss assessment of constructions subjected to extreme hazards or, equivalently, low-probability/high-consequence (LPHC) events. Nonetheless, the progressive increase in frequency and/or intensity of LPHC events due to climate change, terrorism/war scenarios, and other natural, socio-political, and economic phenomena, call for probability-based methods that allow a rational and transparent approach to disaster risk assessment and mitigation. In this respect, the ever-increasing availability, use, and interconnection of digital technologies, together with artificial intelligence (AI) algorithms, can significantly expand and foster the application of probabilistic studies in civil engineering.
This Mini-Symposium aims at collecting and discussing research studies on civil infrastructure subjected to extreme events, with special emphasis on the incorporation of data-driven methods in PBE methodologies, disaster risk assessment, and simulation. Contributions on the following topics are welcome:
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