Vulnerability analysis of process plants subject to domino effects

Nima Khakzad Rostami, Genserik Reniers, R. Abbassi, Faisal Khan

Research output: Contribution to journalArticleScientificpeer-review

35 Citations (Scopus)

Abstract

In the context of domino effects, vulnerability analysis of chemical and process plants aims to identify and protect installations which are relatively more susceptible to damage and thus contribute more to the initiation or propagation of domino effects. In the present study, we have developed a methodology based on graph theory for domino vulnerability analysis of hazardous installations within process plants, where owning to the large number of installations or complex interdependencies, the application of sophisticated reasoning approaches such as Bayesian network is limited. We have taken advantage of a hypothetical chemical storage plant to develop the methodology and validated the results using a dynamic Bayesian network approach. The efficacy and out-performance of the developed methodology have been demonstrated via a real-life complex case study.
Original languageEnglish
Pages (from-to)127-136
JournalReliability Engineering & System Safety
Volume154
DOIs
Publication statusPublished - 2016

Keywords

  • Domino effect
  • Dynamic Bayesian network
  • Graph metrics
  • Process plant

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