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Journal of Pipeline Systems Engineering and Practice

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Volume 13 Issue 3 - August 2022

Future Inspection and Deterioration Prediction Capabilities for Buried Distributed Water Infrastructure

Editor's Choice Collection                                                                            

Technical Papers

Future Inspection and Deterioration Prediction Capabilities for Buried Distributed Water Infrastructure

Lewis O. Makana, Ph.D.; Will J. Shepherd, Ph.D.; Simon Tait, Ph.D.; Christopher D. F. Rogers, Ph.D., CEng.; Nicole Metje, Ph.D., M.ASCE; Joby B. Boxall, Ph.D., CEng.; and Alma N. A. Schellart, Ph.D.
Abstract

This 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.

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Authors:

Lewis O. Makana, Ph.D.
Research Fellow, Dept. of Civil Engineering, Univ. of Birmingham, Edgbaston B15 2TT, UK (corresponding author). ORCID: https://orcid.org/0000-0003-2311-6797. Email: [email protected]
Will J. Shepherd, Ph.D.
Research Associate, Dept. of Civil and Structural Engineering, Univ. of Sheffield, Sir Frederick Mappin Building, Mappin St., Sheffield S1 3JD, UK. ORCID: https://orcid.org/0000-0003-4434-9442. Email: [email protected]
Simon Tait, Ph.D.
Professor of Water Engineering, Dept. of Civil and Structural Engineering, Univ. of Sheffield, Sir Frederick Mappin Building, Mappin St., Sheffield S1 3JD, UK. ORCID: https://orcid.org/0000-0002-0004-9555. Email: [email protected]
Christopher D. F. Rogers, Ph.D., CEng.
Professor of Geotechnical Engineering, Dept. of Civil Engineering, Univ. of Birmingham, Edgbaston B15 2TT, UK. ORCID: https://orcid.org/0000-0002-1693-1999. Email: [email protected]
Nicole Metje, Ph.D., M.ASCE
Professor of Infrastructure Monitoring, Dept. of Civil Engineering, Univ. of Birmingham, Edgbaston B15 2TT, UK. ORCID: https://orcid.org/0000-0002-6741-8183. Email: [email protected]
Joby B. Boxall, Ph.D., CEng.
Professor of Water Infrastructure Engineering, Dept. of Civil and Structural Engineering, Univ. of Sheffield, Sir Frederick Mappin Building, Mappin St., Sheffield S1 3JD, UK. ORCID: https://orcid.org/0000-0002-4681-6895. Email: [email protected]
Alma N. A. Schellart, Ph.D.
Senior Lecturer in Water Engineering, Dept. of Civil and Structural Engineering, Univ. of Sheffield, Sir Frederick Mappin Building, Mappin St., Sheffield S1 3JD, UK. Email: [email protected]
https://doi.org/10.1061/(ASCE)PS.1949-1204.0000656
Received: October 05, 2021
Accepted: February 19, 2022
Published online: May 17, 2022
Journal of Pipeline Systems Engineering and Practice
© 2022 American Society of Civil Engineers