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    Vision-Based Quantification of Stiffness Degradation in Reinforced Concrete Shear Walls Using Graph-Based Surface Crack Features and Machine Learning

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    JSENDH.STENG-15932.pdf (6.130Mb)
    Date
    2026
    Author
    Bazrafshan, Pedram
    Osan, Rhythm
    Ebrahimkhanlou, Arvin
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    Abstract
    AbstractThe rapid and accurate assessment of structural damage in reinforced concrete shear walls (RCSWs) following seismic events remains a critical yet unresolved challenge in structural engineering. Current methods rely heavily on subjective visual ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4313523
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