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    Experimental and Machine Learning Models for Stress Amplitude Prediction in Damaged GFRP Composite Pipe

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    JENMDT.EMENG-8663.pdf (5.630Mb)
    Date
    2026
    Author
    Brahim, Abdelmoumin Oulad
    Capozucca, Roberto
    Fantuzzi, Nicholas
    Khatir, Samir
    Cuong-Le, Thanh
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    Abstract
    AbstractIn this paper, a comprehensive modal analysis is conducted, utilizing experimental and numerical approaches to investigate and predict the influence of the damage size on structural behavior. A finite element (FE) model is created from different ...
    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4311354
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