Delamination detection in CFRP laminates using deep transfer learning with limited experimental data

Carbon fiber reinforced polymer (CFRP) composites have been continuously replacing conventional metallic materials due to their excellent material properties. The orthotropic nature of CFRP composites makes them vulnerable to various types of damage. Among these, delamination stands out as the most...

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Bibliographic Details

Published in:	Journal of Materials Research and Technology
Main Authors:	Muhammad Muzammil Azad, Prashant Kumar, Heung Soo Kim
Format:	Article
Language:	English
Published:	Elsevier 2024-03-01
Subjects:	CFRP composites Laminated composites Delamination detection Transfer learning ResNet model Deep learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S2238785424003600