| Download | - View accepted manuscript: Condition assessment of buried pipes using hierarchical evidential reasoning model (PDF, 654 KiB)
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| DOI | Resolve DOI: https://doi.org/10.1061/(ASCE)0887-3801(2008)22:2(114) |
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| Author | Search for: Hua, B.; Search for: Sadiq, R.1; Search for: Najjaran, H.; Search for: Rajani, B. B.1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Research in Construction
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| Format | Text, Article |
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| Subject | buried pipes; deterioration; decision making; probability; damage assessment; condition rating, pipe condition assessment, Dempter-Shafer (D-5) theory, hierachical evidential reasoning (HER); Pipes and pipelines |
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| Abstract | Effective inspection and monitoring practices for the condition assessment of pipes ensure better decision(s) for repair or replacement before they fail. Pipe deterioration is a physical manifestation of the aging process in which many factors can contribute to structural failure. Various technologies/ techniques have been developed during the last few years to inspect/monitor piping systems, but how to intelligently interpret the collected data remains a challenge. In this paper, a new approach based on hierarchical evidential reasoning (HER) is proposed. This approach uses Dempster-Shafer (D-S) theory to make inferences for condition assessment of buried pipes. A hierarchical evidential reasoning model can help combine different distress indicators (bodies of evidence) at different hierarchical levels using D-S rule of combination. The proposed hierarchical evidential reasoning method is demonstrated with an example of condition assessment for a large diameter pipe. Information from multiple sources is fused to obtain a more reliable assessment of pipe deterioration. |
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| Publication date | 2008-03-01 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 48714
NRC-IRC-18244 |
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| NPARC number | 20377610 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 3673289f-e291-4313-98db-52597a07480a |
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| Record created | 2012-07-24 |
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| Record modified | 2020-04-15 |
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