Infrastructure Systems, Risk Analysis, and Resilience—Research Gaps and Opportunities
Infrastructure Systems, Risk Analysis, and Resilience—Research Gaps and Opportunities
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基础设施系统、风险分析和弹性——研究差距和机遇
DOI:
10.1111/risa.12416
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发表时间:
2015
期刊:
影响因子:
3.8
通讯作者:
J. Lambert
中科院分区:
文献类型:
--
作者:
S. Guikema;L. McLay;J. Lambert
This Special Issue is aimed at risk analysts addressing risks and resilience in infrastructure systems. Modern infrastructure systems offer unprecedented convenience and service levels. They are critical to the economic vitality, security, health, and environmental protection of cities, regions, and nations. However, there are knowledge gaps concerning vulnerabilities, risk, and resilience of these systems. The articles in this Special Issue help fill some of these pressing knowledge gaps. The Special Issue includes the following contributions. Fang et al. describe mathematical models for understanding and preventing cascading failures in infrastructure networks. They are primarily concerned with power transmission networks and consider how to allocate generation to distributors by reorganizing links to maximize network resilience to cascading failure and minimizing investment costs. The combinatorial multiobjective optimization is carried out by a nondominated sorting binary differential evolution (NSBDE) algorithm. For each generator–distributor connection pattern considered in the NSBDE search, a computationally cheap, topological model of failure cascading in a complex system is used to simulate and quantify network resilience to cascading failures initiated by targeted attacks. The results on the 400-kV French power transmission network case study show that the proposed method allows the authors to identify optimal patterns of generator– distributor connection that improve cascading resilience at an acceptable cost. To verify the realism of the results obtained by the NSBDE with an