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Sewerage infrastructure: fuzzy techniques to model deterioration and manage failure risk

From National Research Council Canada

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Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Book Chapter
ConferenceNATO Advanced Research Workshop on Water Reuse - Risk Assessment, Decision-Making and Environmental Security, October 12, 2006, Istanbul, Turkey
SubjectSewers; sewerage infrastructure; deterioration modelling; fuzzy sets; failure risk management; inspection
Abstract
An approach is presented to model the deterioration of buried, infrequently inspected infrastructure, using scarce data. The robustness of the Markov process is combined with the flexibility of fuzzy mathematics to arrive at a decision framework that is tractable and realistic. In applying this approach to sewerage infrastructure we convert the scoring schemes used by current guidelines into fuzzy condition ratings. A rule-based fuzzy Markov model is used to replicate and predict the possibility of failure. The possibility of failure is combined with fuzzy failure consequences to obtain the fuzzy risk of failure throughout the life of the asset. The model can be used to plan the renewal of the asset subject to maximum risk tolerance. The concepts are demonstrated using data obtained from Canadian municipalities.
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  • Proceedings of the NATO Advanced Research Workshop on Water Reuse - Risk Assessment, Decision-Making and Environmental Security (1 May 2007): 241–252.
LanguageEnglish
Peer reviewedNo
NRC numberNRCC 49501
NRC-IRC-18618
NPARC number20377666
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Record identifier09652068-a3c5-4d55-b02f-ea7fd94ce4f2
Record created2012-07-24
Record modified2020-06-17
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