Risk Assessment of Coupled Hazardous Scenarios

Book Chapter (2022)
Author(s)

Chao Chen (TU Delft - Safety and Security Science)

Genserik Reniers (TU Delft - Safety and Security Science)

Ming Yang (TU Delft - Safety and Security Science)

Safety and Security Science
DOI related publication
https://doi.org/10.1007/978-3-030-88911-1_4
More Info
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Publication Year
2022
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
Pages (from-to)
95-110
Publisher
Springer
ISBN (electronic)
978-3-030-88911-1
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Abstract

In a coupled domino effect, hazardous scenarios such as toxic release, VCE, and fire can simultaneously or sequentially occur. Chapters 2 and 3 only consider domino effects that are caused by fire or VCE. Therefore, this study develops a dynamic method called “Dynamic Graph Monte Carlo” (DGMC) to model the evolution of coupled domino effects and assess the vulnerability of humans and installations exposed to such scenarios. In the DGMC model, a chemical plant is represented by a system with multiple agents. The system consists of three types of agents: hazardous installations, ignition sources, and humans. Monte Carlo simulation is used to address the uncertainties in the evolution and interdependencies among the agents. By applying the developed algorithm, the death probability of humans and the failure probability of installations exposed to multiple possible hazardous scenarios can be obtained. Moreover, we can also obtain the possible evolution paths, evolution time nodes, and ignition times by using the developed model and algorithm.

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