Application of graph theory to assessing the vulnerability of tank terminals to domino effects

Nima Khakzad, Genserik Reniers

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

Abstract

In Chapter 3, Bayesian network (BN) was shown to be a robust technique for modeling complicated dependencies and calculating the escalation probabilities during domino effects. However, application of BN to large process plants where tens and even hundreds of units can potentially get involved in domino effects would be too time-consuming and error prone due to the emergence of large and intractable conditional probability tables.
Original languageEnglish
Title of host publicationDynamic Risk Assessment and Management of Domino Effects and Cascading Events in the Process Industry
PublisherElsevier
Pages133-153
Number of pages21
ISBN (Electronic)9780081028384
DOIs
Publication statusPublished - 2021

Keywords

  • Centrality metrics
  • Domino effect
  • Graph theory
  • Process plants
  • Vulnerability

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