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Identifying damage to composite materials based on deep residual shrinkage network

Published online by Cambridge University Press:  13 December 2024

J. Li Open the ORCID record for J. Li [Opens in a new window] ,
Y. Zhang Open the ORCID record for Y. Zhang [Opens in a new window] ,
X. Chang ,
C. Sun  and
J. Lu
J. Li
Affiliation:
Rocket Force University of Engineering, Shaanxi, Xi’an, China
Y. Zhang*
Affiliation:
Rocket Force University of Engineering, Shaanxi, Xi’an, China
X. Chang
Affiliation:
Rocket Force University of Engineering, Shaanxi, Xi’an, China
C. Sun
Affiliation:
Rocket Force University of Engineering, Shaanxi, Xi’an, China
J. Lu
Affiliation:
Rocket Force University of Engineering, Shaanxi, Xi’an, China
*
Corresponding author: Y. Zhang; Email: [email protected]
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Abstract

Interlaminar delamination damage is a common and typical defect in the context of structural damage in carbon fiber-reinforced resin matrix composites. The technology to identify such damage is crucial for improving the safety and reliability of structures. In this paper, we fabricated carbon fiber-reinforced composite laminates with different degrees of delamination damage, conducted static load experiments on them and used femtosecond fiber Bragg grating sensors (fsFBG) to determine their structural state to investigate the effects of delamination damage on their performance. We constructed a model to identify damage based on the deep residual shrinkage network, and used experimental data to enable it to identify varying degrees of delamination damage to carbon fiber-reinforced composites with an accuracy of 97.98%.

Keywords

compositesfiber optic sensorsdeep residual shrinkage networksdamage identification
Type
Research Article
Information
The Aeronautical Journal , Volume 129 , Issue 1331 , January 2025 , pp. 156 - 168
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Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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