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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
张明媛

Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Title : 建设管理系 系主任
Gender:Female
Alma Mater:Dalian University of Technology
Degree:Doctoral Degree
School/Department:Department of Construction Management
Discipline:Project Management
Business Address:综合实验4号楼509室
E-Mail:myzhang@dlut.edu.cn
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Current position: Home >> Scientific Research >> Paper Publications

Performance and Reliability Analysis of Water Distribution Systems under Cascading Failures and the Identification of Crucial Pipes

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Indexed by:期刊论文

Date of Publication:2014-02-13

Journal:PLOS ONE

Included Journals:SCIE、PubMed、Scopus

Volume:9

Issue:2

Page Number:e88445

ISSN No.:1932-6203

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.