A probabilistic framework to assess multi-hazard risks associated with concurrent and sequential events
Year: 2025
Type: conference-paper
Abstract: Critical infrastructure systems are exposed to various natural hazards.These hazards may be induced by events such as earthquakes and hurricanes that can occur concurrently or in sufficiently close succession that the effects of one hazard are not mitigated before the occurrence of the next hazard.The impacts of these hazards can result in component-and system-level failures and significant economic loss.Although single-hazard probabilistic risk assessment approaches have been extensively used to study each of these hazards, there is a limited number of studies that have attempted to analyze the relationships between multiple hazards and assess their risks probabilistically.This paper (extended abstract) aims to 1) summarize the findings of a literature review focused on multi-hazard fragility modeling, considering the interactions between wind and ground motion hazards, and 2) describe ongoing efforts to create a Bayesian Network (BN) framework for assessing multi-hazard risk that affects a spatially distributed system.The proposed framework is capable of modeling the concurrent and sequential relationships of the hazards and assessing their impacts on the performance of the distributed system.
Authors: A. Mohammadi, M. Bensi
Institution: University of Maryland, College Park
Language: English
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Funder: National Science Foundation
OpenAlex ID: W4411488912