Modeling pipe deterioration using soil properties - an application of fuzzy logic expert system

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ConferenceASCE International Conference on Pipeline Engineering and Construction, Pipeline2004: 01 August 2004, San Diego, CA.
Pages110; # of pages: 10
Subjectcorrosion, soil corrosivity, fuzzy modeling, expert system, pipe deterioration, poiont-scoring method; Pipes and pipelines
AbstractSeveral factors may contribute to the structural failure of cast/ductile iron water mains, the most important of which is considered to be corrosion. The ANSI/AWWA C105/A21.5?99 10-point scoring (10-P) method is the most common method used to predict soil corrosivity potential, which is based on soil properties. For a given soil sample, each soil property is evaluated for its contribution towards the corrosivity of soil. The 10-P method uses binary logic to classify the soil, either as corrosive or noncorrosive.Fuzzy logic extends the binary logic in this context as it recognizes the real world phenomena in which each property has certain degree of membership between 0 and 1. The main objective of the present research is to develop a fuzzy logic expert system capable of establishing a criterion (such as corrosion rate or breakage rate) for predicting the deterioration of cast/ductile iron water mains using soil properties. The proposed expert system includes a fuzzy model consisting of a series of IF-THEN rules todetermine soil corrosivity potential (CoP) based on soil properties. The fuzzy model contains the data of linguistic variables (database) characterizing various soil properties, and a rule base that constructs relationships among those properties and CoP. Subsequently, the expert system uses a linear regression model to link CoP to the deterioration rate of metallic pipes. A case study on cast iron pipes is examined to illustrate the application of the proposed expert system.
Publication date
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number47014
NPARC number20377147
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Record identifier44a39b66-c303-4c17-897f-b5ae9a8d4d84
Record created2012-07-24
Record modified2016-05-09
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