OPTIMIZING RECOVERY STRATEGIES FOR INTERDEPENDENT LIFELINE SYSTEMS EXPOSED TO A NATURAL HAZARD

Hugo Rosero-Velásquez, Daniel Straub

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Natural hazard events can lead to large-scale failures in lifeline systems. By enabling a fast recovery of these systems following failure events, one enhances their resilience. However, this resilience also comes at a cost, e.g. if additional reparation crews need to be hired. In this contribution, we present a work towards the identification of a robust recovery strategy that optimizes the trade-off between the downtime and losses on the one hand and the cost for enhancing resilience on the other. We use a simplified model of the network [1] and simulate system failure events [2] based on a stochastic set of natural hazard scenarios. We employ the frameworks described in [3,4] for modelling the system recovery, and identify the relation between recovery costs and the losses associated with system downtimes. Furthermore, we investigate the influence of the interdependence between lifeline systems in identifying the optimal recovery strategy. We illustrate the methodology with an example of interconnected power and water networks exposed to a seismic hazard.

Original languageEnglish
Title of host publicationProceedings of the 31st European Safety and Reliability Conference, ESREL 2021
EditorsBruno Castanier, Marko Cepin, David Bigaud, Christophe Berenguer
PublisherResearch Publishing, Singapore
Pages2629
Number of pages1
ISBN (Print)9789811820168
DOIs
StatePublished - 2021
Event31st European Safety and Reliability Conference, ESREL 2021 - Angers, France
Duration: 19 Sep 202123 Sep 2021

Publication series

NameProceedings of the 31st European Safety and Reliability Conference, ESREL 2021

Conference

Conference31st European Safety and Reliability Conference, ESREL 2021
Country/TerritoryFrance
CityAngers
Period19/09/2123/09/21

Keywords

  • Critical infrastructure
  • Interdependent systems
  • Lifeline systems
  • Network analysis
  • Resilience cost
  • Resilience engineering
  • System recovery

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