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Scoring, selecting, and developing physical impact models for multi-hazard risk assessment

Roberto Gentile, Gemma Cremen, Carmine Galasso, Luke T. Jenkins, Vibek Manandhar, Emin Yahya Menteşe, Ramesh Guragain, John McCloskey

2022International Journal of Disaster Risk Reduction62 citationsDOIOpen Access PDF

Abstract

This study focuses on scoring, selecting, and developing physical fragility (i.e., the probability of reaching or exceeding a certain damage state given a specific hazard intensity) and/or vulnerability (i.e., the probability of impact - or consequence - given a specific hazard intensity) models for assets of interest, with particular emphasis on buildings. Given a set of multiple relevant hazards for a selected case-study region, the proposed procedure involves 1) mapping the relevant asset classes (i.e., construction types for a given occupancy) in the region to a set of existing candidate fragility, vulnerability and/or damage-to-impact models, also accounting for specific modelling requirements (e.g., time dependency due to ageing/deterioration, multi-hazard interactions); 2) scoring the candidate models according to relevant criteria to select the most suitable models for a given application; or 3) using state-of-the-art numerical or empirical methods to develop fragility/vulnerability models not already available. The approach is demonstrated for the buildings of the virtual urban testbed “Tomorrowville”, considering earthquakes, floods, and debris flows as case-study hazards.

Topics & Concepts

FragilityHazardVulnerability (computing)Computer scienceAsset (computer security)Risk analysis (engineering)Vulnerability assessmentDependency (UML)Natural hazardReliability engineeringEngineeringGeographyArtificial intelligenceComputer securityBusinessChemistryPsychological resiliencePsychologyPsychotherapistPhysical chemistryMeteorologyOrganic chemistrySeismic Performance and AnalysisInfrastructure Resilience and Vulnerability AnalysisWind and Air Flow Studies