An interdependent infrastructure risk analysis framework using parallel and distributed simulation

Abstract

Summary form only given. A system-based risk simulation and analysis methodology is needed to evaluate the vulnerability of interdependent infrastructure systems in order to increase the system resilience, reduce the probability of system failure and consequences of such failure, and reduce time to system recovery. These interdependent infrastructure systems are usually highly interconnected, mutually dependent on multiple levels and may be subjected to a spectrum of natural hazards. Although research has been performed in the area of infrastructure interdependency modeling and analysis, not enough work has been done to address the issues of simulating the interdependent infrastructure systems efficiently at a large scale and quantitatively characterize the impact and risks of multiple natural hazards on these interdependent systems. In this paper a risk assessment framework is proposed to model interdependent infrastructure using parallel and distributed simulation and probabilistic hazard models to characterize the impact of the occurrence and intensity of various disasters.