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Titlebook: Sustainable and Resilient Critical Infrastructure Systems; Simulation, Modeling Kasthurirangan Gopalakrishnan,Srinivas Peeta Book 2010 Spri

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Interdependencies between Energy and Transportation Systems for National Long Term Planning,passenger transportation systems. Technological alternatives for producing, transporting, and converting energy for electric and transportation systems are numerous. Addressing costs, sustainability, and resiliency of electric and transportation needs requires long-term assessment since these capita
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A Framework for the Manifestation of Tacit Critical Infrastructure Knowledge,f research due to both their vital role in the normal conduct of societal activities as well as their inherent appealing complications for researchers. In this chapter, we will report on our experience in developing techniques, tools and algorithms for revealing and interpreting the hidden intricaci
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Maintenance Optimization for Heterogeneous Infrastructure Systems: Evolutionary Algorithms for Bottes with different characteristics such as environments, materials and deterioration processes. We present a two-stage bottom-up approach. In the first step, optimal and near-optimal maintenance policies for each facility are found and used as inputs for the system-level optimization. In the second s
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A Swarm Intelligence Approach for Emergency Infrastructure Inspection Scheduling,ystems, gas and electricity supply systems, and hospital and communication systems. Following a natural hazard, the condition of structures and critical infrastructures must be assessed and damages have to be identified; inspections are therefore necessary since failure to rapidly inspect and subseq
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Optimal Highway Infrastructure Maintenance Scheduling Considering Deterministic and Stochastic Aspecal for driver safety and traffic mobility. Deterioration of highway infrastructure is caused due to routine wear and tear (deterministic), and unanticipated (stochastic) events, such as accidents and adverse weather. The deterministic part is generally modeled using the Markovian assumption which r
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