Dynamic Risk Assessment of Fire-Induced Domino Effects

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

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.
Original languageEnglish
Title of host publicationIntegrating Safety and Security Management to Protect Chemical Industrial Areas from Domino Effects
PublisherSpringer
Pages49-68
Number of pages20
ISBN (Electronic)978-3-030-88911-1
DOIs
Publication statusPublished - 2022

Publication series

NameSpringer Series in Reliability Engineering
ISSN (Print)1614-7839
ISSN (Electronic)2196-999X

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.

Fingerprint

Dive into the research topics of 'Dynamic Risk Assessment of Fire-Induced Domino Effects'. Together they form a unique fingerprint.

Cite this