A dynamic multi-agent approach for modeling the evolution of multi-hazard accident scenarios in chemical plants

In the chemical industry, multi-hazard (toxic, flammable, and explosive) materials such as acrylonitrile are stored, transported, processed in large quantities. A release of can simultaneously or sequentially lead to acute toxicity, fire explosion. The spatial-temporal evolution hazards may also result cascading effects. this study, a dynamic methodology called “Dynamic Graph Monte Carlo” (DGMC) is developed model accident scenarios assess vulnerability humans installations exposed hazards. DGMC model, plants modeled multi-agent system with three kinds agents: hazardous installations, ignition sources, while considering uncertainties interdependencies among agents their impacts on possible escalation case study analyzed using methodology, demonstrating that risk be underestimated if neglected. Vapor cloud explosion (VCEs) more severe damage than fire, safety distances which implemented only based not sufficient prevent from VCEs.