【摘 要】
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There has been a strong need for simulation environments that are capable of modeling deep interde-pendencies between complex systems encountered during natural hazards,such as the interactions and coupled effects between civil infrastructure systems resp
【机 构】
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Department of Civil and Environmental Engineering,University of Michigan,Ann Arbor,MI 48109,USA;Depa
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There has been a strong need for simulation environments that are capable of modeling deep interde-pendencies between complex systems encountered during natural hazards,such as the interactions and coupled effects between civil infrastructure systems response,human behavior,and social policies,for improved community resilience.Coupling such complex components with an integrated simulation requires continuous data exchange between different simulators simulating separate models during the entire simulation process.This can be imple-mented by means of distributed simulation platforms or data passing tools.In order to provide a systematic refer-ence for simulation tool choice and facilitating the devel-opment of compatible distributed simulators for deep interdependent study in the context of natural hazards,this article focuses on generic tools suitable for integration of simulators from different fields but not the platforms that are mainly used in some specific fields.With this aim,the article provides a comprehensive review of the most commonly used generic distributed simulation platforms(Distributed Interactive Simulation(DIS),High Level Architecture(HLA),Test and Training Enabling Archi-tecture(TENA),and Distributed Data Services(DDS))and data passing tools(Robot Operation System(ROS)and Lightweight Communication and Marshalling(LCM))and compares their advantages and disadvantages.Three specific limitations in existing platforms are identified from the perspective of natural hazard simulation.For mitigating the identified limitations,two platform design recommen-dations are provided,namely message exchange wrappers and hybrid communication,to help improve data passing capabilities in existing solutions and provide some guid-ance for the design of a new domain-specific distributed simulation framework.
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