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    Statistical Comparison of Multiple Regression Tools in Prediction of the Bond Strength of Bamboo-Reinforced Concrete

    Source: Journal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 004::page 04025063-1
    Author:
    Pitake, Satish A.
    ,
    Attar, Abdulrashid C.
    ,
    Gajbhiye, Param D.
    ,
    Bhaiya, Vishisht
    DOI: 10.1061/JSDCCC.SCENG-1745
    Publisher: American Society of Civil Engineers
    Abstract: AbstractIn civil engineering, construction materials are valued for being cost-effective, reliable, and environmentally sustainable. Bamboo has become a viable substitute for steel when used in concrete reinforcement. The bonding behavior of bamboo-...
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      Statistical Comparison of Multiple Regression Tools in Prediction of the Bond Strength of Bamboo-Reinforced Concrete

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313155
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    contributor authorPitake, Satish A.
    contributor authorAttar, Abdulrashid C.
    contributor authorGajbhiye, Param D.
    contributor authorBhaiya, Vishisht
    date accessioned2026-08-20T12:09:04Z
    date available2026-08-20T12:09:04Z
    date copyright2025/06/17
    date issued2025
    identifier otherJSDCCC.SCENG-1745.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313155
    description abstractAbstractIn civil engineering, construction materials are valued for being cost-effective, reliable, and environmentally sustainable. Bamboo has become a viable substitute for steel when used in concrete reinforcement. The bonding behavior of bamboo-...
    publisherAmerican Society of Civil Engineers
    titleStatistical Comparison of Multiple Regression Tools in Prediction of the Bond Strength of Bamboo-Reinforced Concrete
    typeJournal Article
    journal volume30
    journal issue4
    journal titleJournal of Structural Design and Construction Practice
    identifier doi10.1061/JSDCCC.SCENG-1745
    journal fristpage04025063-1
    journal lastpage04025063-14
    page14
    treeJournal of Structural Design and Construction Practice:;2025:;Volume ( 030 ):;issue: 004
    contenttypeFulltext
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