Water distribution networks (WDNs) play a crucial role in the well-being of human populations and economic prosperity. It is essential that they cope with abnormal operating conditions and recover functionality quickly. Traditionally, WDNs are designed using cost and reliability objectives, but there is a lack of consensus on the definition and quantification of reliability which typically is a computationally intense process. Subsequently, various reliability-like metrics, called resilience indices, have been developed and demonstrated in the design of WDNs. Few studies exist that thoroughly evaluate the performance of the previously developed resilience metrics. This paper investigates three resilience metrics by evaluating their performance on three benchmark WDNs for several simulated mechanical failure states. The metrics studied are: (a) resilience index, (b) network resilience index (NRI), and (c) modified resilience index (MRI). The metric MRI performed better overall but NRI produced cheaper designs that performed better in the case of WDN-I. It is recommended that a better metric that incorporates different dimensions of resilience, such as robustness and redundancy, should be developed in the future.
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September 2015
This article was originally published in
Journal of Water Supply: Research and Technology-Aqua
Article Contents
Research Article|
June 05 2015
Assessment of metrics for resilient design of water distribution networks
Kalyan R. Piratla;
1The Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA
E-mail: [email protected]
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Samuel T. Ariaratnam
Samuel T. Ariaratnam
2Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ 85287, USA
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Journal of Water Supply: Research and Technology-Aqua (2015) 64 (6): 660–669.
Article history
Received:
January 30 2015
Accepted:
April 20 2015
Citation
Kalyan R. Piratla, Samuel T. Ariaratnam; Assessment of metrics for resilient design of water distribution networks. Journal of Water Supply: Research and Technology-Aqua 1 September 2015; 64 (6): 660–669. doi: https://doi.org/10.2166/aqua.2015.014
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