 A novel approach for domino effects modeling and risk analysis based on synergistic effect and accident evidenceLong Ding, Faisal Khan and Jie Ji Reliability Engineering and System Safety, 2020, vol. 203, issue C Abstract: Modeling the spatial-temporal evolution of domino effects and analyzing its risk could guide risk prevention and control. In the present work, a novel approach is proposed to model the spatial-temporal evolution and perform a risk analysis of fire-induced domino effects based on synergistic effect and accident evidence. The approach takes fire accident evidence into account to model the synergistic effect of burning units. The receivable thermal dose is adopted as the failure criterion of endangered units to consider heat energy accumulation. The time to failure and escalation probability are used to assess domino effect risk. The proposed approach is effective to model the dynamic evolution of accident propagation, and the results provide a visible image of domino effect evolution and associated risk, and also the results are helpful to identify the most vulnerable unit and the most dangerous units. A case study is illustrated to demonstrate the credibility and applicability of the proposed approach. Keywords: Domino effects; Spatial-temporal evolution; Synergistic effect; Accident evidence; Risk analysis (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:203:y:2020:i:c:s0951832020306104 DOI: 10.1016/j.ress.2020.107109 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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