University Of Tasmania

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Domino effect analysis of dust explosions using Bayesian networks

journal contribution
posted on 2023-05-19, 10:16 authored by Yuan, Z, Khakzad, N, Faisal KhanFaisal Khan, Amyotte, P
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.


Publication title

Process Safety and Environmental Protection








Australian Maritime College


Elsevier Ltd

Place of publication

United Kingdom

Rights statement

© 2016 The Institution of Chemical Engineers

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in engineering