Innovative Data-driven “along-the-pipe” Condition Assessment for Critical Water Mains

Shi, L; Valls Miro, J; Vidal Calleja, T; Vitanage, D; Rajalingam, J

Innovative Data-driven “along-the-pipe” Condition Assessment for Critical Water Mains

Shi, L

Valls Miro, J

Vidal Calleja, T

Vitanage, D Rajalingam, J

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Publisher:: Australian Water Association
Publication Type:: Conference Proceeding
Citation:: OZWATER’17 Australia’s International Water Conference & Exhibition, 2017, pp. 1 - 8
Issue Date:: 2017-05-17

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Field	Value	Language
dc.contributor.author	Shi, L https://orcid.org/0000-0002-5215-025X	en_US
dc.contributor.author	Valls Miro, J https://orcid.org/0000-0002-0083-7797	en_US
dc.contributor.author	Vidal Calleja, T https://orcid.org/0000-0002-5763-9644	en_US
dc.contributor.author	Vitanage, D	en_US
dc.contributor.author	Rajalingam, J	en_US
dc.date	2017-05-16	en_US
dc.date.issued	2017-05-17	en_US
dc.identifier.citation	OZWATER’17 Australia’s International Water Conference & Exhibition, 2017, pp. 1 - 8	en_US
dc.identifier.uri	http://hdl.handle.net/10453/98961
dc.description.abstract	Recent research findings on remaining life prediction for older Cast Iron critical water mains suggest increasing reliability by calculating stress concentration factors from the corrosion patch geometries expected to be present in the asset, not just extreme pitting as is generally carried out within the industry. This study proposes an innovative data-driven “along-the-pipe” framework able to utilise local inspection results further by capturing data correlations present in the remaining wall thickness measurement. This knowledge can in turn be utilised to produce estimates for “along-the-pipe” patch geometry predictions, hence remaining life. Results from inspections in a real pipeline in the Sydney Water network are compared to conventional Extreme Value Analysis (EVA) to validate the improvements of the proposed strategy.	en_US
dc.publisher	Australian Water Association	en_US
dc.relation.ispartof	OZWATER’17 Australia’s International Water Conference & Exhibition	en_US
dc.title	Innovative Data-driven “along-the-pipe” Condition Assessment for Critical Water Mains	en_US
dc.type	Conference Proceeding
utslib.location	Australia	en_US
utslib.location.activity	Sydney	en_US
utslib.for	0905 Civil Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2017-05-18	en_US
pubs.place-of-publication	Australia	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2017-05-16	en_US

Abstract:

Recent research findings on remaining life prediction for older Cast Iron critical water mains suggest increasing reliability by calculating stress concentration factors from the corrosion patch geometries expected to be present in the asset, not just extreme pitting as is generally carried out within the industry. This study proposes an innovative data-driven “along-the-pipe” framework able to utilise local inspection results further by capturing data correlations present in the remaining wall thickness measurement. This knowledge can in turn be utilised to produce estimates for “along-the-pipe” patch geometry predictions, hence remaining life. Results from inspections in a real pipeline in the Sydney Water network are compared to conventional Extreme Value Analysis (EVA) to validate the improvements of the proposed strategy.

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http://hdl.handle.net/10453/98961