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Prediction and Model Validation of UHPC-NSC Interface Bonding Performance Based on Machine Learning Algorithms

dc.contributor.authorZhan, Shumin
dc.contributor.authorSun, Wen
dc.contributor.authorLi, Ruize
dc.contributor.authorWang, Jiaze
dc.contributor.authorZhang, Jiangjiang
dc.contributor.authorYang, Yanhua
dc.date.accessioned2026-08-20T11:38:46Z
dc.date.available2026-08-20T11:38:46Z
dc.date.copyright2025/11/27
dc.date.issued2026
dc.identifier.otherJMCEE7.MTENG-21223.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312482
dc.description.abstractAbstractUltrahigh performance concrete (UHPC) is a highly durable material characterized by its exceptional properties, such as high compressive strength, dense microstructure, and enhanced surface texture, which contribute to improved bond strength, ...
dc.publisherAmerican Society of Civil Engineers
dc.titlePrediction and Model Validation of UHPC-NSC Interface Bonding Performance Based on Machine Learning Algorithms
dc.typeJournal Article
dc.journal.volume38
dc.journal.issue2
dc.journal.titleJournal of Materials in Civil Engineering
dc.identifier.doi10.1061/JMCEE7.MTENG-21223
dc.journal.fristpage04025567-1
dc.journal.lastpage04025567-12
dc.page12
dc.treeJournal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 002
dc.contenttypeFulltext


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