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    Data-Driven Shear Capacity Prediction of Studs Embedded in UHPC for Steel–UHPC Composite Structures

    Source: Journal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 009::page 04025119-1
    Author:
    Zhu, Yanping
    ,
    Taffese, Woubishet Zewdu
    ,
    Chen, Genda
    DOI: 10.1061/JSENDH.STENG-13818
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study employs ensemble learning algorithms to accurately predict the shear capacity of studs embedded in ultrahigh performance concrete (UHPC), a critical aspect of structural engineering. Using a comprehensive data set featuring six UHPC ...
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      Data-Driven Shear Capacity Prediction of Studs Embedded in UHPC for Steel–UHPC Composite Structures

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313281
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    contributor authorZhu, Yanping
    contributor authorTaffese, Woubishet Zewdu
    contributor authorChen, Genda
    date accessioned2026-08-20T12:15:21Z
    date available2026-08-20T12:15:21Z
    date copyright2025/06/17
    date issued2025
    identifier otherJSENDH.STENG-13818.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313281
    description abstractAbstractThis study employs ensemble learning algorithms to accurately predict the shear capacity of studs embedded in ultrahigh performance concrete (UHPC), a critical aspect of structural engineering. Using a comprehensive data set featuring six UHPC ...
    publisherAmerican Society of Civil Engineers
    titleData-Driven Shear Capacity Prediction of Studs Embedded in UHPC for Steel–UHPC Composite Structures
    typeJournal Article
    journal volume151
    journal issue9
    journal titleJournal of Structural Engineering
    identifier doi10.1061/JSENDH.STENG-13818
    journal fristpage04025119-1
    journal lastpage04025119-16
    page16
    treeJournal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 009
    contenttypeFulltext
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