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Abstract:
Resilience evaluation of infrastructure system provides an essential basis for the resilience enhancement and disaster mitigation of urban communities. This study presents a seismic resilience evaluation model for water supply network that integrates the hydraulic with water quality simulation. The seismic damage scenarios of water supply network are generated according to seismic fragility model of pipelines and the Monte Carlo simulation, and the post-earthquake recovery of pipeline damages is simulated by dynamic importance-based recovery sequence. The negative influence of earthquake hazard on water quality is investigated by the chlorine concentration reduction of water, which depends on the changes in water age and supply path caused by pipeline damages. The water supply of user nodes without quality deterioration after earthquakes is used as the water quality performance index of water supply network. The proposed evaluation model is implemented in two benchmark water supply network with different layouts. Application results show that the water losses of pipeline damages lead to water flow increases and greater chlorine concentration in its upstream pipelines, and lead to prolonged water supply path and smaller chlorine concentration in its downstream pipelines. The water quality resilience of water supply network tends to be lower than that of hydraulic services, and the relative difference between hydraulic and water quality resilience is affected by the layout and operating rules of water supply network. In the application case of water supply network, the relative difference of seismic resilience loss calculated by water quality and hydraulic ranges from 17% to 286%, and there is a large difference between hydraulic and water quality resilience of water supply network whose operating rules are complex and contain regulating tanks. © 2024 Editorial office of Earthquake Engineering and Engineering Dynamics. All rights reserved.
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Earthquake Engineering and Engineering Dynamics
ISSN: 1000-1301
Year: 2024
Issue: 2
Volume: 44
Page: 19-29
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SCOPUS Cited Count:
ESI Highly Cited Papers on the List: 0 Unfold All
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30 Days PV: 7
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