A model-based deep learning framework for damage classification and detection in polycarbonate infused with AEROSIL under dynamic loading conditions - Archive ouverte HAL
Article Dans Une Revue Composites Part B: Engineering Année : 2024

A model-based deep learning framework for damage classification and detection in polycarbonate infused with AEROSIL under dynamic loading conditions

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Intelligence artificielle [cs.AI] Physique [physics]

ayoub karine  : Connectez-vous pour contacter le contributeur

https://hal.science/hal-04693162

Soumis le : mardi 10 septembre 2024-14:28:14

Dernière modification le : jeudi 12 septembre 2024-10:44:00

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hal-04693162 , version 1 (10-09-2024)

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Youssef Qarssis, Ayoub Karine, Sirine Sayed, Mohamed Daly, Mourad Nachtane, et al.. A model-based deep learning framework for damage classification and detection in polycarbonate infused with AEROSIL under dynamic loading conditions. Composites Part B: Engineering, 2024, 287, pp.111810. ⟨10.1016/j.compositesb.2024.111810⟩. ⟨hal-04693162⟩

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