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dc.contributor.authorBruaset, Stian
dc.contributor.authorSægrov, Sveinung
dc.contributor.authorUgarelli, Rita Maria
dc.date.accessioned2018-04-16T08:54:09Z
dc.date.available2018-04-16T08:54:09Z
dc.date.created2018-04-13T13:08:27Z
dc.date.issued2017
dc.identifier.issn1573-062X
dc.identifier.urihttp://hdl.handle.net/11250/2494173
dc.description.abstractManaging the urban drinking water system in the long term in order to maintain system performance can be challenging due to the difficulty of modelling future deterioration of the networks. This paper establishes a methodology for cohort survival models where historical (empirical) data on decommissioning ages of pipes are used to calibrate survival functions of pipe cohorts according to service level targets. The benefit of the approach is that remaining useful life of pipes, future renewal rates and investment needs can be governed by a required level of service in the network. A case study shows how the methodology can be applied to a cohort of drinking water pipes to create a ‘calibration curve’, which is a survival function calibrated with empirical data.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.titlePerformance based modelling of long-term deterioration to support rehabilitation and investment decisions in drinking water distribution systemsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalUrban Water Journalnb_NO
dc.identifier.doi10.1080/1573062X.2017.1395894
dc.identifier.cristin1579223
dc.description.localcodeLocked until 15.11.2018 due to copyright restrictions. This is an [Accepted Manuscript] of an article published by Taylor & Francis in [Urban Water Journal] on [15 Nov 2017], available at https://www.tandfonline.com/doi/full/10.1080/1573062X.2017.1395894nb_NO
cristin.unitcode194,64,91,0
cristin.unitnameInstitutt for bygg- og miljøteknikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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