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