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    Leveraging Bayesian Inference and Prior Knowledge to Predict Concrete Wall Loss Rate in Reinforced-Concrete Sanitary Sewer Pipes

    Source: Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001::page 04025095-1
    Author:
    Abuhishmeh, Khaled
    ,
    Ebrahimi, Moein
    ,
    Hojat Jalai, Himan
    DOI: 10.1061/JPSEA2.PSENG-1763
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe deterioration of concrete/reinforced-concrete sanitary sewer pipes (RCSSPs), primarily due to microbially induced corrosion (MIC), introduces significant uncertainty and affects their serviceability. Nondestructive condition assessment tools ...
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      Leveraging Bayesian Inference and Prior Knowledge to Predict Concrete Wall Loss Rate in Reinforced-Concrete Sanitary Sewer Pipes

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313049
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    contributor authorAbuhishmeh, Khaled
    contributor authorEbrahimi, Moein
    contributor authorHojat Jalai, Himan
    date accessioned2026-08-20T12:03:56Z
    date available2026-08-20T12:03:56Z
    date copyright2025/09/30
    date issued2026
    identifier otherJPSEA2.PSENG-1763.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313049
    description abstractAbstractThe deterioration of concrete/reinforced-concrete sanitary sewer pipes (RCSSPs), primarily due to microbially induced corrosion (MIC), introduces significant uncertainty and affects their serviceability. Nondestructive condition assessment tools ...
    publisherAmerican Society of Civil Engineers
    titleLeveraging Bayesian Inference and Prior Knowledge to Predict Concrete Wall Loss Rate in Reinforced-Concrete Sanitary Sewer Pipes
    typeJournal Article
    journal volume17
    journal issue1
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/JPSEA2.PSENG-1763
    journal fristpage04025095-1
    journal lastpage04025095-17
    page17
    treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001
    contenttypeFulltext
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