Lamb wave-based damage assessment for composite laminates using a deep learning approach

•A convolutional sparse coding-based UNet (CSCUNet) is proposed to analyze the ultrasonic Lamb wave signal, which enables high-resolution imaging of damage in composite laminates.•The CSCUNet incorporates the multi-layer convolutional sparse coding block in its encoder, enhancing both performance an...

Full description

Bibliographic Details

Published in:	Ultrasonics Vol. 141; p. 107333
Main Authors:	Zhang, Han, Wang, Fan, Lin, Jing, Hua, Jiadong
Format:	Journal Article
Language:	English
Published:	Netherlands Elsevier B.V 01.07.2024
Subjects:	Composite material Damage assessment Deep learning Lamb wave Size evaluation Lamb wave Deep learning Damage assessment Composite material Size evaluation
ISSN:	0041-624X, 1874-9968, 1874-9968
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!