Future Inspection and Deterioration Prediction Capabilities for Buried Distributed Water InfrastructureSource: Journal of Pipeline Systems Engineering and Practice:;2022:;Volume ( 013 ):;issue: 003::page 04022020Author:Lewis O. Makana
,
Will J. Shepherd
,
Simon Tait
,
Christopher D. F. Rogers
,
Nicole Metje
,
Joby B. Boxall
,
Alma N. A. Schellart
DOI: 10.1061/(ASCE)PS.1949-1204.0000656Publisher: ASCE
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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contributor author | Lewis O. Makana | |
contributor author | Will J. Shepherd | |
contributor author | Simon Tait | |
contributor author | Christopher D. F. Rogers | |
contributor author | Nicole Metje | |
contributor author | Joby B. Boxall | |
contributor author | Alma N. A. Schellart | |
date accessioned | 2022-08-18T12:26:16Z | |
date available | 2022-08-18T12:26:16Z | |
date issued | 2022/05/17 | |
identifier other | %28ASCE%29PS.1949-1204.0000656.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4286624 | |
description 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. | |
publisher | ASCE | |
title | Future Inspection and Deterioration Prediction Capabilities for Buried Distributed Water Infrastructure | |
type | Journal Article | |
journal volume | 13 | |
journal issue | 3 | |
journal title | Journal of Pipeline Systems Engineering and Practice | |
identifier doi | 10.1061/(ASCE)PS.1949-1204.0000656 | |
journal fristpage | 04022020 | |
journal lastpage | 04022020-14 | |
page | 14 | |
tree | Journal of Pipeline Systems Engineering and Practice:;2022:;Volume ( 013 ):;issue: 003 | |
contenttype | Fulltext |