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dc.contributor.authorZhu, Yanping
dc.contributor.authorTaffese, Woubishet Zewdu
dc.contributor.authorChen, Genda
dc.date.accessioned2026-08-20T12:15:21Z
dc.date.available2026-08-20T12:15:21Z
dc.date.copyright2025/06/17
dc.date.issued2025
dc.identifier.otherJSENDH.STENG-13818.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313281
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleData-Driven Shear Capacity Prediction of Studs Embedded in UHPC for Steel–UHPC Composite Structures
dc.typeJournal Article
dc.journal.volume151
dc.journal.issue9
dc.journal.titleJournal of Structural Engineering
dc.identifier.doi10.1061/JSENDH.STENG-13818
dc.journal.fristpage04025119-1
dc.journal.lastpage04025119-16
dc.page16
dc.treeJournal of Structural Engineering:;2025:;Volume ( 151 ):;issue: 009
dc.contenttypeFulltext


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