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Domino effect analysis of dust explosions using Bayesian networks


Yuan, Z and Khakzad, N and Khan, FI and Amyotte, P, Domino effect analysis of dust explosions using Bayesian networks, Process Safety and Environmental Protection, 100 pp. 108-116. ISSN 0957-5820 (2016) [Refereed Article]

Copyright Statement

2016 The Institution of Chemical Engineers

DOI: doi:10.1016/j.psep.2016.01.005


In most dust explosion accidents, a series of explosions consisting of a primary (dust) explosion and one or more subsequent secondary dust explosion(s) has been reported. Such chain of dust explosions can be referred to as a dust explosion domino effect (DEDE). DEDEs are capable of causing severe onsite and offsite damages to human, assets, and the environment, thus requiring a detailed understanding of the causes, consequences, probabilities, and escalation mechanisms thereof to prevent and mitigate the potential damages. In this research, we have developed a methodology for the probability estimation of DEDEs based on Bayesian network. The application and efficacy of the methodology have been demonstrated via a real-world case study. The results illustrate that the developed methodology can effectively portend the propagation of DEDEs while calculating the respective probabilities.

Item Details

Item Type:Refereed Article
Keywords:Bayesian network, domino effect, dust explosion, escalation probability, process industries, Bayesian networks, dust, probability, domino effects, dust explosion, escalation probability, probability estimation, process industries, real-world
Research Division:Engineering
Research Group:Engineering practice and education
Research Field:Risk engineering
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in engineering
UTAS Author:Khan, FI (Professor Faisal Khan)
ID Code:120423
Year Published:2016
Web of Science® Times Cited:44
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-08-24
Last Modified:2017-11-01

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