Management of failure risk in large-diameter buried pipes using fuzzy-based techniques

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Conference4th International Conference on Decision Making in Urban and Civil Engineering: 28 October 2004, Porto, Portugal
Pages111; # of pages: 11
Subjectlarge-diameter pipes; deterioration; fuzzy Markov; risk; decision-making; Pipes and pipelines
AbstractEffective management of failure risk of large-diameter water mains requires knowledge of their current condition, their rate of deterioration, the expected consequences of failure and the owner's risk tolerance. By far the greatest obstacle to formulating an effective strategy is the lack of sufficient historical data on the deterioration of these buried pipes. The National Research Council of Canada (NRC), with the support of the American Water Works Association Research Foundation (AwwaRF) is developing a new approach, which is largely based on fuzzy-based techniques. Fuzzy-based techniques seem to be particularly suited to modeling the deterioration of buried infrastructure assets, for which data are scarce, cause-effect knowledge is imprecise and observations and criteria are often expressed in vague (linguistic) terms (e.g., ?good', ?fair' ?poor' condition, etc.). The use of fuzzy sets and fuzzy-based techniques helps to incorporate the inherent imprecision, uncertainty and subjectivity of available data, as well as to propagate these attributes throughout the model, yielding more realistic results. Earlier publications, reporting on the same research effort, introduced two new concepts: (a) modeling the deterioration of a buried pipe as a fuzzy Markov process, and (b) combining the possibility of failure with the fuzzy consequences to obtain fuzzy risk of failure throughout the life of the pipe. In this paper a method is presented to use the fuzzy deterioration model and the fuzzy risk for the effective management of failure risk. These decisions include when to renew a deteriorated pipe, or alternatively, when to schedule the next inspection and condition assessment, and if renewal is required, what renewal alternative should be selected.
Publication date
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number47329
NPARC number20377146
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Record identifierddf145af-454f-4ae1-9fba-1b338ca9e3e0
Record created2012-07-24
Record modified2016-05-09
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