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    Development of a Fuzzy Inference Performance Index for Ferrous Drinking Water Pipelines

    Source: Journal of Pipeline Systems Engineering and Practice:;2014:;Volume ( 005 ):;issue: 003
    Author:
    Alison M. St. Clair
    ,
    Sunil K. Sinha
    DOI: 10.1061/(ASCE)PS.1949-1204.0000168
    Publisher: American Society of Civil Engineers
    Abstract: Accurate prediction of water pipeline structural and functional deterioration plays an essential role in the utility asset management process and capital investment planning. A key to implementing an asset management strategy is a comprehensive understanding of asset condition and performance and how asset condition and performance change over time. The primary objective of this paper is to develop a fuzzy inference performance index for metallic drinking water pipelines. Furthermore, the developed fuzzy inference performance index is applied to the Western Virginia Water Authority (WVWA). Evaluation of the performance index is accomplished through testing of artificial, field, and lab data. Overall, the fuzzy inference performance model was successfully developed to aid in the evaluation of current drinking water infrastructure systems. The fuzzy inference performance model incorporated with an infrastructure management plan will aid in the prioritization of future inspection, repair, rehabilitation, and replacement of water mains.
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      Development of a Fuzzy Inference Performance Index for Ferrous Drinking Water Pipelines

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    contributor authorAlison M. St. Clair
    contributor authorSunil K. Sinha
    date accessioned2017-05-08T22:20:29Z
    date available2017-05-08T22:20:29Z
    date copyrightAugust 2014
    date issued2014
    identifier other42116611.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/78169
    description abstractAccurate prediction of water pipeline structural and functional deterioration plays an essential role in the utility asset management process and capital investment planning. A key to implementing an asset management strategy is a comprehensive understanding of asset condition and performance and how asset condition and performance change over time. The primary objective of this paper is to develop a fuzzy inference performance index for metallic drinking water pipelines. Furthermore, the developed fuzzy inference performance index is applied to the Western Virginia Water Authority (WVWA). Evaluation of the performance index is accomplished through testing of artificial, field, and lab data. Overall, the fuzzy inference performance model was successfully developed to aid in the evaluation of current drinking water infrastructure systems. The fuzzy inference performance model incorporated with an infrastructure management plan will aid in the prioritization of future inspection, repair, rehabilitation, and replacement of water mains.
    publisherAmerican Society of Civil Engineers
    titleDevelopment of a Fuzzy Inference Performance Index for Ferrous Drinking Water Pipelines
    typeJournal Paper
    journal volume5
    journal issue3
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/(ASCE)PS.1949-1204.0000168
    treeJournal of Pipeline Systems Engineering and Practice:;2014:;Volume ( 005 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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