Resilience-based post-earthquake recovery optimization of water distribution networks

Abstract

This paper proposes a resilience-based pipe optimal recovery model of water distribution networks (WDNs). First, the time-dependent consumer demands are simulated to reflect the real hydraulic status of WDNs during post-earthquake recovery. Herein, three kinds of consumers are incorporated, including shelter, hospital, and ordinary users. Second, to reflect the asynchronous supply plans of crew and equipment, the phased supply plan of the two types of recovery resources are modeled respectively. Third, the ground motion filed is constructed by the attenuation law, by which the damage conditions of WDN can be descript in detail. By the comprehensive consideration of hydraulic analysis, pipe damage, pipe recovery, and ground motion field, the recovery strategies of critical and general pipes are optimized by heuristic genetic algorithm. This framework is demonstrated taking the Mianzhu WDN as an example. Results show the system satisfaction degree curve has multi-stage characteristics caused by the time-dependent consumer demands and recovery resources supply schedules. The effectiveness of the methodology is validated by comparing different recovery strategies. Meantime, different recovery resource supply schedules are analyzed to reveal the impacts on seismic resilience of WDNs.