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    Prediction of CFRP and NSM-Wrapped Composite Column Capacities Using Experimentation and an Ensemble Machine-Learning Approach with SHAP Interpretation

    Source: Journal of Structural Design and Construction Practice:;2026:;Volume ( 031 ):;issue: 003::page 04026046-1
    Author:
    M. R., Sudhir
    ,
    M., Beulah
    DOI: 10.1061/JSDCCC.SCENG-2094
    Publisher: American Society of Civil Engineers
    Abstract: AbstractColumn capacity is an essential parameter in structural design, and its accurate determination is critical for a safe load-transfer mechanism in structures. Also, experimental and accurate model-based assessments are critical to the column ...Practical ApplicationsThe global requirement to restore heritage structures and retrofit seismic-resistant buildings has catalyzed the evolution of structural strengthening techniques and their practical applications. This study recommends a review of the ...
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      Prediction of CFRP and NSM-Wrapped Composite Column Capacities Using Experimentation and an Ensemble Machine-Learning Approach with SHAP Interpretation

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313275
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    contributor authorM. R., Sudhir
    contributor authorM., Beulah
    date accessioned2026-08-20T12:14:42Z
    date available2026-08-20T12:14:42Z
    date copyright2026/04/01
    date issued2026
    identifier otherJSDCCC.SCENG-2094.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313275
    description abstractAbstractColumn capacity is an essential parameter in structural design, and its accurate determination is critical for a safe load-transfer mechanism in structures. Also, experimental and accurate model-based assessments are critical to the column ...Practical ApplicationsThe global requirement to restore heritage structures and retrofit seismic-resistant buildings has catalyzed the evolution of structural strengthening techniques and their practical applications. This study recommends a review of the ...
    publisherAmerican Society of Civil Engineers
    titlePrediction of CFRP and NSM-Wrapped Composite Column Capacities Using Experimentation and an Ensemble Machine-Learning Approach with SHAP Interpretation
    typeJournal Article
    journal volume31
    journal issue3
    journal titleJournal of Structural Design and Construction Practice
    identifier doi10.1061/JSDCCC.SCENG-2094
    journal fristpage04026046-1
    journal lastpage04026046-13
    page13
    treeJournal of Structural Design and Construction Practice:;2026:;Volume ( 031 ):;issue: 003
    contenttypeFulltext
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