{"id":1020,"date":"2018-08-22T17:23:27","date_gmt":"2018-08-23T01:23:27","guid":{"rendered":"http:\/\/depts.washington.edu\/uwrainlab\/?page_id=1020"},"modified":"2018-08-22T17:23:27","modified_gmt":"2018-08-23T01:23:27","slug":"efficient-infrastructure-restoration-strategies-using-the-recovery-operator","status":"publish","type":"page","link":"http:\/\/depts.washington.edu\/uwrainlab\/efficient-infrastructure-restoration-strategies-using-the-recovery-operator\/","title":{"rendered":"Efficient Infrastructure Restoration Strategies using the Recovery Operator"},"content":{"rendered":"

A. D. Gonz\u00e1lez, A. Chapman, L. Due\u00f1as-Osorio, M. Mesbahi, R. M. D\u2019Souza<\/strong><\/p>\n

Computer-Aided Civil and Infrastructure Engineering<\/strong><\/p>\n

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Infrastructure systems are critical for society’s resilience, government operation, and overall defense. Thereby, it is imperative to develop informative and computationally efficient analysis methods for infrastructure systems, which reveal system vulnerabilities and recoverability. To capture practical constraints in systems analyses, various layers of complexity play a role, including limited element capacities, restoration resources, and the presence of interdependence among systems. High\u2010fidelity modeling such as mixed integer programming and physics\u2010based modeling can often be computationally expensive, making time\u2010sensitive analyses challenging. Furthermore, the complexity of recovery solutions can reduce analysis transparency. An alternative, presented in this work, is a reduced\u2010order representation, dubbed a recovery operator, of a high\u2010fidelity time\u2010dependent recovery model of a system of interdependent networks. The form of the operator is assumed to be a time\u2010invariant linear dynamic model apt for infrastructure restoration. The recovery operator is generated by applying system identification techniques to numerous disaster and recovery scenarios. The proposed compact representation provides simple yet powerful information regarding systemic recovery dynamics, and enables generating fast suboptimal recovery policies in time\u2010critical applications.<\/p>\n<\/div>\n<\/section>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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A. D. Gonz\u00e1lez, A. Chapman, L. Due\u00f1as-Osorio, M. Mesbahi, R. M. D\u2019Souza Computer-Aided Civil and Infrastructure Engineering Infrastructure systems are critical for society’s resilience, government operation, and overall defense. Thereby, it is imperative to develop informative and computationally efficient analysis methods for infrastructure systems, which reveal system vulnerabilities and recoverability. To capture practical constraints in […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/depts.washington.edu\/uwrainlab\/wp-json\/wp\/v2\/pages\/1020"}],"collection":[{"href":"http:\/\/depts.washington.edu\/uwrainlab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/depts.washington.edu\/uwrainlab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/depts.washington.edu\/uwrainlab\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/depts.washington.edu\/uwrainlab\/wp-json\/wp\/v2\/comments?post=1020"}],"version-history":[{"count":1,"href":"http:\/\/depts.washington.edu\/uwrainlab\/wp-json\/wp\/v2\/pages\/1020\/revisions"}],"predecessor-version":[{"id":1021,"href":"http:\/\/depts.washington.edu\/uwrainlab\/wp-json\/wp\/v2\/pages\/1020\/revisions\/1021"}],"wp:attachment":[{"href":"http:\/\/depts.washington.edu\/uwrainlab\/wp-json\/wp\/v2\/media?parent=1020"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}