Condition assessment of water mains using fuzzy evidential reasoning

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Conference2005 IEEE International Conference on Systems, Man, and Cybernetics: 10 October 2005, Hawaii, USA
Pages34663471; # of pages: 6
SubjectDempster Shafer theory; fuzzy logic; pipe corrosion; soil properties; corrosivity potential; Water mains
AbstractThis paper describes a method of combining fuzzy inference and evidential reasoning to quantify the corrosion rate of buried metallic pipes, i.e., cast-iron and ductile-iron. The method relies on two bodies of evidence: the corrosivity of surrounding soil and the corrosion rate estimated from measured maximum pit depth. Fuzzy inference is used to deduce a corrosivity criterion, viz., corrosivity potential (CoP), for each body of evidence. The two CoPs are then fused using evidential reasoning to obtain a CoP that is expected to be more reliable than that obtained from any one individual body of evidence. This type of criterion can help utility managers make informed decisions on how to protect their pipes exposed to different soil conditions. The proposed reasoning framework is demonstrated through a case study based on soil properties and corrosion rate data.
Publication date
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number47738
NPARC number20377534
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Record identifierc0ba63e2-9b93-4004-af64-f143d626dc90
Record created2012-07-24
Record modified2016-05-09
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