Condition assessment of buried pipes using hierarchical evidential reasoning model

Download
  1. (PDF, 315 KB)
  2. Get@NRC: Condition assessment of buried pipes using hierarchical evidential reasoning model (Opens in a new window)
DOIResolve DOI: http://doi.org/10.1061/(ASCE)0887-3801(2008)22:2(114)
AuthorSearch for: ; Search for: ; Search for: ; Search for:
TypeArticle
Journal titleJournal of Computing in Civil Engineering
Volume22
IssueMarch/April 2
Pages114122; # of pages: 9
Subjectburied pipes; deterioration; decision making; probability; damage assessment; condition rating, pipe condition assessment, Dempter-Shafer (D-5) theory, hierachical evidential reasoning (HER); Pipes and pipelines
AbstractEffective 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.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number48714
18244
NPARC number20377610
Export citationExport as RIS
Report a correctionReport a correction
Record identifier3673289f-e291-4313-98db-52597a07480a
Record created2012-07-24
Record modified2016-05-09
Bookmark and share
  • Share this page with Facebook (Opens in a new window)
  • Share this page with Twitter (Opens in a new window)
  • Share this page with Google+ (Opens in a new window)
  • Share this page with Delicious (Opens in a new window)