Attention mechanism enhanced spatiotemporal-based deep learning approach for classifying barely visible impact damages in CFRP materials-Reference-Cited by-同舟云学术

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Attention mechanism enhanced spatiotemporal-based deep learning approach for classifying barely visible impact damages in CFRP materials

Published:2024-06 Issue: Volume:337 Page:118030
ISSN:0263-8223
Container-title:Composite Structures
language:en
Short-container-title:Composite Structures

Author:

Deng Kailun^ORCID,Liu Haochen^ORCID,Cao Jun^ORCID,Yang Lichao,Du Weixiang,Xu Yigeng^ORCID,Zhao Yifan^ORCID

Funder

Royal Academy of Engineering

Publisher

Elsevier BV

Reference30 articles.

1. ‘Introduction to composite materials’, in composite and nanocomposite materials - from knowledge to industrial applications;Ngo;IntechOpen,2020

2. Stress mapping reveals extrinsic toughening of brittle carbon fiber in polymer matrix;Wang;Sci Technol Adv Mater,2020

3. CFRP barely visible impact damage inspection based on an ultrasound wave distortion indicator;Zhang;Compos B Eng,2019

4. Low-velocity impact of composite laminates: damage evolution;Shi,2023

5. Nondestructive examination of carbon fiber-reinforced composites using the Eddy current method;Łukaszuk;Materials,2023

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