Improving pipe failure predictions: Factors effecting pipe failure in drinking water networks

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dc.contributor.author Barton, Neal A.
dc.contributor.author Farewell, Timothy S.
dc.contributor.author Hallett, Stephen H.
dc.contributor.author Acland, Timothy F.
dc.date.accessioned 2019-07-31T13:13:49Z
dc.date.available 2019-07-31T13:13:49Z
dc.date.issued 2019-07-29
dc.identifier.citation Barton NA, Farewell TS, Hallett SH, Acland TF. Improving pipe failure predictions: Factors effecting pipe failure in drinking water networks. Water Research, Volume 164, November 2019, Article number 114926 en_UK
dc.identifier.issn 0043-1354
dc.identifier.uri https://doi.org/10.1016/j.watres.2019.114926
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/14403
dc.description.abstract To reduce leakage and improve service levels, water companies are increasingly using statistical models of pipe failure using infrastructure, weather and environmental data. However, these models are often built by environmental data scientists with limited in-field experience of either fixing pipes or recording data about network failures. As infrastructure data can be inconsistent, incomplete and incorrect, this disconnect between model builders and field operatives can lead to logical errors in how datasets are interpreted and used to create predictive models. An improved understanding of pipe failure can facilitate improved selection of model inputs and the modelling approach. To enable data scientists to build more accurate predictive models of pipe failure, this paper summarises typical factors influencing failure for 5 common groups of materials for water pipes: 1) cast and spun iron, 2) ductile iron, 3) steel, 4) asbestos cement, 5) polyvinyl chloride (PVC) and 6) polyethylene (PE) pipes. With an improved understanding of why and how pipes fail, data scientists can avoid misunderstanding and misusing infrastructure and environmental data, and build more accurate models of infrastructure failure. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/ *
dc.subject Pipe failure en_UK
dc.subject Water supply en_UK
dc.subject Infrastructure planning en_UK
dc.subject Environment en_UK
dc.subject Soil en_UK
dc.title Improving pipe failure predictions: Factors effecting pipe failure in drinking water networks en_UK
dc.type Article en_UK


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