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

    Source: Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 002::page 04025567-1
    Author:
    Zhan, Shumin
    ,
    Sun, Wen
    ,
    Li, Ruize
    ,
    Wang, Jiaze
    ,
    Zhang, Jiangjiang
    ,
    Yang, Yanhua
    DOI: 10.1061/JMCEE7.MTENG-21223
    Publisher: American Society of Civil Engineers
    Abstract: AbstractUltrahigh 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, ...
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      Prediction and Model Validation of UHPC-NSC Interface Bonding Performance Based on Machine Learning Algorithms

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4312482
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    contributor authorZhan, Shumin
    contributor authorSun, Wen
    contributor authorLi, Ruize
    contributor authorWang, Jiaze
    contributor authorZhang, Jiangjiang
    contributor authorYang, Yanhua
    date accessioned2026-08-20T11:38:46Z
    date available2026-08-20T11:38:46Z
    date copyright2025/11/27
    date issued2026
    identifier otherJMCEE7.MTENG-21223.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4312482
    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, ...
    publisherAmerican Society of Civil Engineers
    titlePrediction and Model Validation of UHPC-NSC Interface Bonding Performance Based on Machine Learning Algorithms
    typeJournal Article
    journal volume38
    journal issue2
    journal titleJournal of Materials in Civil Engineering
    identifier doi10.1061/JMCEE7.MTENG-21223
    journal fristpage04025567-1
    journal lastpage04025567-12
    page12
    treeJournal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 002
    contenttypeFulltext
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