Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/97522
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dc.contributorDepartment of Building and Real Estateen_US
dc.creatorAssad, Aen_US
dc.creatorMoselhi, Oen_US
dc.creatorZayed, Ten_US
dc.date.accessioned2023-03-06T01:19:49Z-
dc.date.available2023-03-06T01:19:49Z-
dc.identifier.issn0733-9364en_US
dc.identifier.urihttp://hdl.handle.net/10397/97522-
dc.language.isoenen_US
dc.publisherAmerican Society of Civil Engineersen_US
dc.rights© 2021 American Society of Civil Engineersen_US
dc.rightsThis 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.en_US
dc.subjectMultiobjective optimizationen_US
dc.subjectRehabilitation planningen_US
dc.subjectResilienceen_US
dc.subjectSustainabilityen_US
dc.subjectWater distribution networksen_US
dc.titleResilience-driven sustainability-based rehabilitation planning for water distribution networksen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume147en_US
dc.identifier.issue8en_US
dc.identifier.doi10.1061/(ASCE)CO.1943-7862.0002100en_US
dcterms.abstractWater 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.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of construction engineering and management, Aug. 2021, v. 147, no. 8, 4021079en_US
dcterms.isPartOfJournal of construction engineering and managementen_US
dcterms.issued2021-08-
dc.identifier.scopus2-s2.0-85106148898-
dc.identifier.eissn1943-7862en_US
dc.identifier.artn4021079en_US
dc.description.validate202303 bcww-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberBRE-0053-
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS54511961-
dc.description.oaCategoryGreen (AAM)en_US
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