Dynamic Risk Assessment of Fire-Induced Domino Effects

Chao Chen (), Genserik Reniers () and Ming Yang ()
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Chao Chen: Delft University of Technology
Genserik Reniers: Delft University of Technology
Ming Yang: Delft University of Technology

Chapter Chapter 2 in Integrating Safety and Security Management to Protect Chemical Industrial Areas from Domino Effects, 2022, pp 49-68 from Springer

Abstract: Abstract Fires are the most common scenarios in domino effect accidents, responsible for most of the domino effects that occurred in the process and chemical industry. The escalation induced by fire is delayed since the build-up of heat radiation needs time. As a result, a fire-induced domino effect is a spatial–temporal evolution process of fires. To address the dynamic characteristics, a Domino Evolution Graph (DEG) model based on dynamic graphs is developed in this chapter. The DEG model considers synergistic effects, parallel effects, and superimposed effects and overcomes the limitations of “probit models” in the second and higher-level propagations. Compared with past risk assessment methods for domino effects, the DEG model can rapidly deliver the evolution graphs (paths), the evolution time, the likelihood of domino effects, and the damage probability of installations. Therefore, the DEG model can be applied to domino risk assessment at the chemical cluster level and support the allocation of safety and security resources for preventing and mitigating fire-induced domino effects.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-030-88911-1_2

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DOI: 10.1007/978-3-030-88911-1_2

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