A resilience evaluation method for multi‐hazard domino‐effect accidents in chemical industry parks considering safety barriers

Abstract The concentration of chemical enterprises in chemical industry parks (CIPs) has led to the accumulation of hazardous chemical risks, frequent multi‐hazard coupling accidents, and escalation of domino effects. Existing evaluation methods struggle to characterize the interrelations between hazards, adaptability, and recovery characteristics. This work proposes a resilience‐assessment method for multi‐hazard coupling domino‐effects accidents in CIPs, considering safety barriers to fill these gaps. First, multi‐hazard coupling scenarios are identified by integrating the temporal clustering and spatial aggregation features of hazards. Second, the hazard disruption‐system feedback response mechanism is analyzed to establish a quantitative resilience model for CIPs. Third, the probabilities of multi‐hazard interactions and domino‐effect escalation are quantified to evaluate the influence of safety barriers on accident occurrence probabilities. Finally, case simulations are conducted to compare the impacts of different safety‐barrier configurations on resilience, providing recommendations for optimizing safety barriers in CIPs. Results indicate that the effectiveness of safety barriers significantly influences the strength of system adaptability and recovery capabilities in multi‐hazard coupling domino‐effect scenarios. Their performance directly affects the trough depth and recovery slope of the system‐performance curve.