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Statistical Approach for Corrosion Prediction Under Fuzzy Soil Environment
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  • Journal title : Environmental Engineering Research
  • Volume 18, Issue 1,  2013, pp.37-43
  • Publisher : Korean Society of Environmental Engineering
  • DOI : 10.4491/eer.2013.18.1.037
 Title & Authors
Statistical Approach for Corrosion Prediction Under Fuzzy Soil Environment
Kim, Mincheol; Inakazu, Toyono; Koizumi, Akira; Koo, Jayong;
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Water distribution pipes installed underground have potential risks of pipe failure and burst. After years of use, pipe walls tend to be corroded due to aggressive soil environments where they are located. The present study aims to assess the degree of external corrosion of a distribution pipe network. In situ data obtained through test pit excavation and direct sampling are carefully collated and assessed. A statistical approach is useful to predict severity of pipe corrosion at present and in future. First, criteria functions defined by discriminant function analysis are formulated to judge whether the pipes are seriously corroded. Data utilized in the analyses are those related to soil property, i.e., soil resistivity, pH, water content, and chloride ion. Secondly, corrosion factors that significantly affect pipe wall pitting (vertical) and spread (horizontal) on the pipe surface are identified with a view to quantifying a degree of the pipe corrosion. Finally, a most reliable model represented in the form of a multiple regression equation is developed for this purpose. From these analyses, it can be concluded that our proposed model is effective to predict the severity and rate of pipe corrosion utilizing selected factors that reflect the fuzzy soil environment.
Discriminant function;Distribution pipe;External corrosion;Regression analysis;Replacement plan;Soil properties;
 Cited by
수량화II류이론을 활용한 상수도관로의 안전성 평가 모델 개발 및 적용성 평가 연구,김기범;신휘수;서지원;구자용;

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