Experimental and Machine Learning Models for Stress Amplitude Prediction in Damaged GFRP Composite Pipe
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Date
2026Author
Brahim, Abdelmoumin Oulad
Capozucca, Roberto
Fantuzzi, Nicholas
Khatir, Samir
Cuong-Le, Thanh
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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 ...