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Explainable Hybridized Ensemble Model with a Metaheuristics Algorithm for the Prediction of Compressive Strength of Ultrahigh-Performance Concrete

dc.contributor.authorSapkota, Sanjog Chhetri
dc.contributor.authorShrestha, Sagar
dc.contributor.authorHaq, Moinul
dc.contributor.authorPanthi, Ajay
dc.contributor.authorShrestha, Ajad
dc.contributor.authorSapkota, Sagar
dc.contributor.authorAl-Osta, Mohammed A.
dc.contributor.authorBansal, Tushar
dc.date.accessioned2026-08-20T12:12:46Z
dc.date.available2026-08-20T12:12:46Z
dc.date.copyright2026/03/17
dc.date.issued2026
dc.identifier.otherJSDCCC.SCENG-1948.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313234
dc.description.abstractAbstractUltrahigh-performance concrete (UHPC), composed of supplementary cementitious material, exhibits enhanced mechanical strength and durability, which increases its applicability in newer construction or the refurbishing of existing structures to ...Practical ApplicationsThe developed hybridized ensemble model, XGB-KH, is a practical and highly reliable tool for predicting the compressive strength of ultrahigh-performance concrete, facilitating smarter mix design in real-world construction settings. ...
dc.publisherAmerican Society of Civil Engineers
dc.titleExplainable Hybridized Ensemble Model with a Metaheuristics Algorithm for the Prediction of Compressive Strength of Ultrahigh-Performance Concrete
dc.typeJournal Article
dc.journal.volume31
dc.journal.issue3
dc.journal.titleJournal of Structural Design and Construction Practice
dc.identifier.doi10.1061/JSDCCC.SCENG-1948
dc.journal.fristpage04026023-1
dc.journal.lastpage04026023-20
dc.page20
dc.treeJournal of Structural Design and Construction Practice:;2026:;Volume ( 031 ):;issue: 003
dc.contenttypeFulltext


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