Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97522
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Title: Resilience-driven sustainability-based rehabilitation planning for water distribution networks
Authors: Assad, A
Moselhi, O
Zayed, T 
Issue Date: Aug-2021
Source: Journal of construction engineering and management, Aug. 2021, v. 147, no. 8, 4021079
Abstract: Water distribution networks (WDNs) confront momentous challenges, including the need to meet continuously increased demand, combat unforeseen disruptions, and reduce carbon emissions. Developing efficient plans for resilience enhancement of WDNs thus is essential recognizing the ubiquitous nature of WDNs and increased frequency and destructive severity of hazardous events. This paper presents a resilience-driven multiobjective optimization model to maximize the resilience of WDNs while minimizing the life-cycle cost and carbon emissions. Enhancement actions first are determined and clustered into work packages, and then an optimized schedule is generated considering various operational and managerial factors. A real WDN in the city of London, Ontario, was utilized to demonstrate the proposed model's practicality. The resilience increased by 24% with CAD 1.6 million investment. Additionally, cost saving of about 33% is achievable if the proposed model is employed instead of a currently utilized practice. The developed model is expected to help city managers establish optimal resilience enhancement plans, considering tight available budgets and limited workforce.
Keywords: Multiobjective optimization
Rehabilitation planning
Resilience
Sustainability
Water distribution networks
Publisher: American Society of Civil Engineers
Journal: Journal of construction engineering and management 
ISSN: 0733-9364
EISSN: 1943-7862
DOI: 10.1061/(ASCE)CO.1943-7862.0002100
Rights: © 2021 American Society of Civil Engineers
This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at https://doi.org/10.1061/(ASCE)CO.1943-7862.0002100.
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