The quantitative analysis of “domino” effects is one of the main aspects of hazard
assessment in chemical industrial park. This paper demonstrates the application of heterogeneous
stochastic Petri net modeling techniques to the quantitative assessment of the probabilities of domino
effects of major accidents in chemical industrial park. First, five events are included in the domino
effect models of major accidents: pool fire, explosion, boiling liquid expanding vapour explosion
(BLEVE) giving rise to a fragment, jet fire and delayed explosion of a vapour cloud. Then, the
domino effect models are converted into Generalized Stochastic Petri net (GSPN) in which the
probability of the domino effect is calculated automatically. The Stochastic Petri nets’ models, which
are state-space based ones, increase the modeling flexibility but create the state-space explosion
problems. Finally, in order to alleviate the state-space explosion problems of GSPN models, this
paper employs Stochastic Wellformed Net (SWN), a particular class of High-Level (colored) SPN. To
conduct a case study on a chemical industrial park, the probability of domino effects of major
accidents is calculated by using the GSPN model and SWN model in this paper.
A petri net based reliability block diagram model for category I medical devices reliability analysis
