TY - GEN
T1 - OPTIMIZING RECOVERY STRATEGIES FOR INTERDEPENDENT LIFELINE SYSTEMS EXPOSED TO A NATURAL HAZARD
AU - Rosero-Velásquez, Hugo
AU - Straub, Daniel
N1 - Publisher Copyright:
© ESREL 2021. Published by Research Publishing, Singapore.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Critical infrastructure
KW - Interdependent systems
KW - Lifeline systems
KW - Network analysis
KW - Resilience cost
KW - Resilience engineering
KW - System recovery
UR - http://www.scopus.com/inward/record.url?scp=85135472217&partnerID=8YFLogxK
U2 - 10.3850/978-981-18-2016-8_640-cd
DO - 10.3850/978-981-18-2016-8_640-cd
M3 - Conference contribution
AN - SCOPUS:85135472217
SN - 9789811820168
T3 - Proceedings of the 31st European Safety and Reliability Conference, ESREL 2021
SP - 2629
BT - Proceedings of the 31st European Safety and Reliability Conference, ESREL 2021
A2 - Castanier, Bruno
A2 - Cepin, Marko
A2 - Bigaud, David
A2 - Berenguer, Christophe
PB - Research Publishing, Singapore
T2 - 31st European Safety and Reliability Conference, ESREL 2021
Y2 - 19 September 2021 through 23 September 2021
ER -