DAMS: A Model to Assess Domino Effects by Using Agent ‐Based Modeling and Simulation

In this study, an agent‐based modeling and simulation approach is proposed to study the propagation of domino effects in the chemical and process industries. Different from the analytical or Monte Carlo simulation approaches, which normally study the domino effect at probabilistic network levels, the agent‐based modeling technique explains the domino effects from a bottom‐up perspective. In this approach, the installations involved in a domino effect are modeled as agents whereas the interactions among the installations (e.g., by means of heat radiation) are modeled via the basic rules of the agents. Application of the developed model to several case studies demonstrates the ability of the model not only in modeling higher‐level domino effects and synergistic effects but also in accounting for temporal dependencies. The model can readily be applied to large‐scale complicated cases.

Source: Risk Analysis - December 19, 2017 Category: International Medicine & Public Health Authors: Laobing Zhang, Gabriele Landucci, Genserik Reniers, Nima Khakzad, Jianfeng Zhou Tags: Original Research Article Source Type: research