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Xu, Y. (author), Reniers, G.L.L.M.E. (author), Yang, M. (author), Yuan, S. (author), Chen, Chao (author)
Domino accidents are typical low-frequency and high-consequence events in chemical process industries. Applying quantitative risk assessment (QRA) in domino accident assessment is challenging due to the uncertainties in the escalation process. Meanwhile, the outcomes of QRA are subject to a certain degree of unreliability due to the...
journal article 2023
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Xu, Y. (author), Reniers, G.L.L.M.E. (author), Yang, M. (author), Yuan, S. (author), Chen, C. (author)
Data uncertainties caused by the lack of knowledge and nature variation or randomness present vital challenges to domino effects modelling. To improve the assessment of the propagation probabilities and consequences of the domino-effect accidents, the influence of various types of uncertainties on risk assessment results needs to be investigated...
journal article 2022