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contributor authorLewis O. Makana
contributor authorWill J. Shepherd
contributor authorSimon Tait
contributor authorChristopher D. F. Rogers
contributor authorNicole Metje
contributor authorJoby B. Boxall
contributor authorAlma N. A. Schellart
date accessioned2022-08-18T12:26:16Z
date available2022-08-18T12:26:16Z
date issued2022/05/17
identifier other%28ASCE%29PS.1949-1204.0000656.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286624
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.
publisherASCE
titleFuture Inspection and Deterioration Prediction Capabilities for Buried Distributed Water Infrastructure
typeJournal Article
journal volume13
journal issue3
journal titleJournal of Pipeline Systems Engineering and Practice
identifier doi10.1061/(ASCE)PS.1949-1204.0000656
journal fristpage04022020
journal lastpage04022020-14
page14
treeJournal of Pipeline Systems Engineering and Practice:;2022:;Volume ( 013 ):;issue: 003
contenttypeFulltext


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