Hydraulically informed graph theoretic measure of link criticality for the resilience analysis of water supply networks
File(s)Ulusoy2018_Article_HydraulicallyInformedGraphTheo.pdf (1.34 MB)
Published version
Author(s)
Ulusoy, A
Stoianov, Ivan
Chazerain, Aurelie
Type
Journal Article
Abstract
Water Distribution Networks (WDN) are complex and highly interconnected systems. To maintain operation under failure conditions, WDNs should have built-in resilience based on topological and energy redundancy. There are various methods for analysing the resilience of WDNs based on either hydraulic models or surrogate network measures; however, not a single universally accepted method exists. Hydraulic modeling of disruptive operational scenarios suffer from combinatorial restrictions and uncertainties. Methods that rely on surrogate network measures do not take into account the complex interactions between topological and energy redundancy. To bridge this gap, the presented work introduces a hydraulically informed surrogate measure of pipe criticality for the resilience analysis of WDNs, called Water Flow Edge Betweenness Centrality (WFEBC). The WFEBC combines the random walk betweenness centrality with hydraulic (energy) loss principles in pipes. The proposed network resilience estimation method is applied to a case study network and an operational network. Furthermore, a network decomposition approach is proposed to complement the network estimation method and facilitate its scalability to large operational networks. The described resilience analysis method is benchmarked against a hydraulic model-based analysis of WDN reserve capacity. WFEBC is also applied to assess the improvement in resilience allowed by the implementation of a dynamically adaptive topology in an operational network. The benefits and limitations of the proposed method are discussed.
Date Issued
2018-12-01
Date Acceptance
2018-07-07
Citation
Applied Network Science, 2018, 3
ISSN
2364-8228
Publisher
SpringerOpen
Journal / Book Title
Applied Network Science
Volume
3
Copyright Statement
© The Author(s). 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0
International License (
http://creativecommons.org/licenses/by/4.0/
), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the
Creative Commons license, and indicate if changes were made.
International License (
http://creativecommons.org/licenses/by/4.0/
), which permits unrestricted use, distribution, and
reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the
Creative Commons license, and indicate if changes were made.
Sponsor
Engineering & Physical Science Research Council (E
Grant Number
EP/P004229/1
Publication Status
Published
Article Number
ARTN 31
Date Publish Online
2018-08-13