Time-dependent earthquake-fire coupling fragility analysis under limited prior knowledge

A perspective from type-2 fuzzy probability

Journal Article (2024)
Author(s)

Jinkun Men (Katholieke Universiteit Leuven, South China University of Technology, Guangdong Provincial Science and Technology Collaborative Innovation Center for Work Safety)

Guohua Chen (Guangdong Provincial Science and Technology Collaborative Innovation Center for Work Safety, South China University of Technology)

Genserik Reniers (TU Delft - Safety and Security Science, Katholieke Universiteit Leuven, Universiteit Antwerpen)

Safety and Security Science
DOI related publication
https://doi.org/10.1016/j.psep.2024.01.011
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Publication Year
2024
Language
English
Safety and Security Science
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Volume number
183
Pages (from-to)
274-292
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Abstract

Earthquake-triggered fire domino scenarios (E-FDSs) arise frequently from the interaction between earthquakes and chemical installations, resulting in catastrophic multi-hazard coupling events. The complicated mutually amplified phenomena between natural disasters and chemical accidents significantly aggravates the escalation of domino accidents, which has posed great challenges for modeling and preventing E-FDSs. Under this impetus, this work proposes an advanced type-2 fuzzy probabilistic methodology to obtain the time-dependent failure probability of steel cylindrical tanks (SCTs) subjected to the earthquake-fire sequence. To cope with the limited prior knowledge on E-FDSs, a basic universal is established to describe the fire resistance attenuation caused by the seismic damage. The coupling failure criterion of SCTs is formulated by a type-2 fuzzy time-dependent limit state equation. A credibility-based stochastic simulation algorithm is developed for the hybrid uncertainty analysis (combining ambiguity and stochasticity). The proposed methodology is validated by case studies of a 5000 m3 fixed roof tank. Compared to the existing accident probability model, the proposed methodology can not only capture the fire resistance attenuation caused by the seismic damage but also provide a dynamic estimation of tank failure probability with respect to the fire exposure time. The proposed methodology can effectively and dynamically capture the accident evolution process, which in turn helps mitigate and prevent the spatiotemporal propagation of domino effects.

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