TY - JOUR
T1 - Analysis of uncertainty propagation path of fire-induced domino effect based on an approach of layered fuzzy Petri nets
AU - Guo, Liping
AU - Wang, Zhirong
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/3/15
Y1 - 2023/3/15
N2 - In the chemical industry parks, large amounts of hazardous substances are processed and stored, while the leakage of hazardous substances can easily trigger a domino effect. Probit models were widely used to assess the escalation probability of domino effects, but ignoring the synergistic effects in higher-order propagation. In this paper, based on expert knowledge to identify the propagation rules of domino effects, a layered fuzzy Petri net (LFPN) is proposed to model the multi-order domino effect propagation paths. In the process of fuzzy reasoning, the calculation method of LFPN relevant parameters is provided. Finally, a case study demonstrates the validity of the proposed method for fire-induced domino effects, while the research content contributes to an in-depth understanding of the characteristics of domino effects and provides a theoretical basis for blocking the evolutionary process of domino effects.
AB - In the chemical industry parks, large amounts of hazardous substances are processed and stored, while the leakage of hazardous substances can easily trigger a domino effect. Probit models were widely used to assess the escalation probability of domino effects, but ignoring the synergistic effects in higher-order propagation. In this paper, based on expert knowledge to identify the propagation rules of domino effects, a layered fuzzy Petri net (LFPN) is proposed to model the multi-order domino effect propagation paths. In the process of fuzzy reasoning, the calculation method of LFPN relevant parameters is provided. Finally, a case study demonstrates the validity of the proposed method for fire-induced domino effects, while the research content contributes to an in-depth understanding of the characteristics of domino effects and provides a theoretical basis for blocking the evolutionary process of domino effects.
KW - Domino effects
KW - Fuzzy reasoning rules
KW - Layered fuzzy Petri nets
KW - Uncertainty propagation quantification
UR - http://www.scopus.com/inward/record.url?scp=85145305821&partnerID=8YFLogxK
U2 - 10.1016/j.ces.2022.118410
DO - 10.1016/j.ces.2022.118410
M3 - 文章
AN - SCOPUS:85145305821
SN - 0009-2509
VL - 268
JO - Chemical Engineering Science
JF - Chemical Engineering Science
M1 - 118410
ER -