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    Dimensionless Theory–Particle Swarm Optimization Prediction Framework for Diffusion Concentration Distribution of Buried Gas Pipeline Leakage

    Source: Journal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004::page 04025071-1
    Author:
    Sun, Bin
    ,
    Li, Jin
    ,
    Deng, Xiangyun
    ,
    Shen, Jie
    DOI: 10.1061/JPSEA2.PSENG-1885
    Publisher: American Society of Civil Engineers
    Abstract: AbstractPrevious research has underscored the importance of predicting concentration distributions from leaks in buried gas pipelines. This study addresses the limitations of existing prediction methods in handling complex, multifactorial leakage ...
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      Dimensionless Theory–Particle Swarm Optimization Prediction Framework for Diffusion Concentration Distribution of Buried Gas Pipeline Leakage

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313080
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    contributor authorSun, Bin
    contributor authorLi, Jin
    contributor authorDeng, Xiangyun
    contributor authorShen, Jie
    date accessioned2026-08-20T12:05:15Z
    date available2026-08-20T12:05:15Z
    date copyright2025/07/22
    date issued2025
    identifier otherJPSEA2.PSENG-1885.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313080
    description abstractAbstractPrevious research has underscored the importance of predicting concentration distributions from leaks in buried gas pipelines. This study addresses the limitations of existing prediction methods in handling complex, multifactorial leakage ...
    publisherAmerican Society of Civil Engineers
    titleDimensionless Theory–Particle Swarm Optimization Prediction Framework for Diffusion Concentration Distribution of Buried Gas Pipeline Leakage
    typeJournal Article
    journal volume16
    journal issue4
    journal titleJournal of Pipeline Systems Engineering and Practice
    identifier doi10.1061/JPSEA2.PSENG-1885
    journal fristpage04025071-1
    journal lastpage04025071-15
    page15
    treeJournal of Pipeline Systems Engineering and Practice:;2025:;Volume ( 016 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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