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dc.contributor.authorLewis O. Makana
dc.contributor.authorWill J. Shepherd
dc.contributor.authorSimon Tait
dc.contributor.authorChristopher D. F. Rogers
dc.contributor.authorNicole Metje
dc.contributor.authorJoby B. Boxall
dc.contributor.authorAlma N. A. Schellart
dc.date.accessioned2022-08-18T12:26:16Z
dc.date.available2022-08-18T12:26:16Z
dc.date.issued2022/05/17
dc.identifier.other%28ASCE%29PS.1949-1204.0000656.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286624
dc.description.abstractThis paper examines the role of pipe deterioration prediction approaches for optimizing maintenance, repair, and rehabilitation of buried water supply, wastewater collection, and drainage networks. It is appreciated that there are other ancillary assets within water supply and wastewater collection and drainage networks, but these were not considered in this paper. Currently there are a range of asset condition assessment frameworks, mainly based on asset defect location, identification, and characterization. These are infrequently applied in practice, mainly due to the restricted availability of asset defect inspection data. This paper reviews current deterioration modeling approaches and highlights the crucial need for broader, richer data sets (including both asset and surrounding environment data) to inform the development and application of such approaches. This paper describes what could be considered as an expanded ideal data set for deterioration modeling at a network and individual asset scale and indicates emerging new inspection technologies that should be capable of meeting the enhanced data needs.
dc.publisherASCE
dc.titleFuture Inspection and Deterioration Prediction Capabilities for Buried Distributed Water Infrastructure
dc.typeJournal Article
dc.journal.volume13
dc.journal.issue3
dc.journal.titleJournal of Pipeline Systems Engineering and Practice
dc.identifier.doi10.1061/(ASCE)PS.1949-1204.0000656
dc.journal.fristpage04022020
dc.journal.lastpage04022020-14
dc.page14
dc.treeJournal of Pipeline Systems Engineering and Practice:;2022:;Volume ( 013 ):;issue: 003
dc.contenttypeFulltext


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