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AuthorEl-Abbasy M.S.
AuthorZayed T.
AuthorEl Chanati H.
AuthorMosleh F.
AuthorSenouci A.
AuthorAl-Derham H.
Available date2020-04-27T08:34:21Z
Publication Date2019
Publication NameStructure and Infrastructure Engineering
ResourceScopus
ISSN15732479
URIhttp://dx.doi.org/10.1080/15732479.2019.1599965
URIhttp://hdl.handle.net/10576/14595
AbstractWater pipelines deteriorate overtime due to several distressing factors. To keep water pipelines in good condition, municipalities need to use reliable and credible deterioration models and inspection plans to better manage their rehabilitation and maintenance. Thus, this paper presents the development of deterioration models and patterns of water pipelines. The deterioration models consider different water pipe sizes and materials as well as different surrounding environmental conditions which affect their deterioration rates. As a prerequisite to the development of such deterioration models, a condition assessment model for water pipelines was first developed. Questionnaires were distributed among experts to determine the weights of the factors affecting water pipeline conditions using the fuzzy analytic network process. Monte-Carlo simulation was used to account for the large uncertainties of the calculated weights in the development of the condition assessment model. The validation of the model, which was performed using historical data, yielded an average validity percentage of 93.59%. The developed models are expected to help municipalities and decision makers to accurately plan for future water pipelines maintenance and rehabilitation activities based on their different deterioration patterns. It takes into consideration both the uncertainties at the initial stage and those accumulated during the calculation process. - 2019, - 2019 Informa UK Limited, trading as Taylor & Francis Group.
SponsorThis study was funded by Qatar National Research Fund (QNRF) Award Number: NPRP 4 - 529 - 2 - 193.
Languageen
PublisherTaylor and Francis Ltd.
Subjectdeterioration patterns
fuzzy analytic network process
Monte-Carlo simulation
Water pipelines
TitleSimulation-based deterioration patterns of water pipelines
TypeArticle
Pagination965-982
Issue Number7
Volume Number15
dc.accessType Abstract Only


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