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    Risk Assessment of Girth Welds in High-Grade Steel Natural Gas Pipelines Based on Fuzzy Bayesian Networks

    Source: Journal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001::page 04025081-1
    Author:
    Wu, Weidong
    ,
    Wang, Bin
    ,
    He, Zepeng
    DOI: 10.1061/JPSEA2.PSENG-1932
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe increasing mileage of high-grade steel natural gas pipelines has identified girth welds as a critical weak point, potentially resulting in severe accidents. Consequently, the implementation of effective risk management measures is essential to ...
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      Risk Assessment of Girth Welds in High-Grade Steel Natural Gas Pipelines Based on Fuzzy Bayesian Networks

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313099
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    contributor authorWu, Weidong
    contributor authorWang, Bin
    contributor authorHe, Zepeng
    date accessioned2026-08-20T12:06:10Z
    date available2026-08-20T12:06:10Z
    date copyright2025/09/19
    date issued2026
    identifier otherJPSEA2.PSENG-1932.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313099
    description abstractAbstractThe increasing mileage of high-grade steel natural gas pipelines has identified girth welds as a critical weak point, potentially resulting in severe accidents. Consequently, the implementation of effective risk management measures is essential to ...
    publisherAmerican Society of Civil Engineers
    titleRisk Assessment of Girth Welds in High-Grade Steel Natural Gas Pipelines Based on Fuzzy Bayesian Networks
    typeJournal Article
    journal volume17
    journal issue1
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/JPSEA2.PSENG-1932
    journal fristpage04025081-1
    journal lastpage04025081-12
    page12
    treeJournal of Pipeline Systems Engineering and Practice:;2026:;Volume ( 017 ):;issue: 001
    contenttypeFulltext
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