title: Performance and reliability analysis of water distribution systems under cascading failures and the identification of crucial pipes.
abstract: As a mean of supplying water, Water distribution system (WDS) is one of the most important complex infrastructures. The stability and reliability are critical for urban activities. WDSs can be characterized by networks of multiple nodes (e.g. reservoirs and junctions) and interconnected by physical links (e.g. pipes). Instead of analyzing highest failure rate or highest betweenness, reliability of WDS is evaluated by introducing hydraulic analysis and cascading failures (conductive failure pattern) from complex network. The crucial pipes are identified eventually. The proposed methodology is illustrated by an example. The results show that the demand multiplier has a great influence on the peak of reliability and the persistent time of the cascading failures in its propagation in WDS. The time period when the system has the highest reliability is when the demand multiplier is less than 1. There is a threshold of tolerance parameter exists. When the tolerance parameter is less than the threshold, the time period with the highest system reliability does not meet minimum value of demand multiplier. The results indicate that the system reliability should be evaluated with the properties of WDS and the characteristics of cascading failures, so as to improve its ability of resisting disasters.
authors.affiliation: Department of Construction Management, Dalian University of Technology, Dalian, Liaoning, China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Shuang
authors.affiliation: Department of Construction Management, Dalian University of Technology, Dalian, Liaoning, China.
authors.forename: Mingyuan
authors.initials: M
authors.lastname: Zhang
authors.affiliation: Department of Construction Management, Dalian University of Technology, Dalian, Liaoning, China.
authors.forename: Yongbo
authors.initials: Y
authors.lastname: Yuan
mesh_terms: D002947:Cities; D003198:Computer Simulation; D004189:Disaster Planning; D060766:Drinking Water; D006801:Humans; D006874:Hydrostatic Pressure; D015233:Models, Statistical; D014881:Water Supply / Q000032:analysis* / Q000706:statistics & numerical data
chemical_list: D060766:Drinking Water