Ultrasonic detection and evaluation of delamination defects in carbon fiber composites based on finite element simulation

Jing, Ziang; Cai, Gaoshen; Yu, Xiang; Wang, Bingxu

doi:10.1016/j.compstruct.2024.118749

Composite Structures

2025

DOI: 10.1016/j.compstruct.2024.118749

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Ultrasonic detection and evaluation of delamination defects in carbon fiber composites based on finite element simulation

Ziang Jing,

Gaoshen Cai,

Xiang Yu

et al.

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Research on CFRP Defects Recognition and Localization Based on Metamaterial Sensors

Zhu,

Han

2024

Symmetry

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In the paper, the concept of symmetry is utilized to detect internal defects in Carbon fiber reinforced polymer (CFRP), that is, the reconstruction and localization methods for internal defects in CFRP are symmetrical. CFRP is widely used in industrial, biological and other fields. When there are defects inside the composite materials, its dielectric constant, magnetic permeability, etc. change. Therefore, metamaterial sensors are widely used in non-destructive testing of CFRP Defects. This paper proposes a defect identification and location method based on principal component analysis (PCA) and support vector machine (SVM). The trained model is used to classify the dimensionally reduced data, and the reconstructed defect binary image is obtained. Simulation and physical experiment results show that the method used in this article can effectively identify and locate defects in carbon fiber composite materials.

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Research on CFRP Defects Recognition and Localization Based on Metamaterial Sensors

Zhu,

Han

2024

Symmetry

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show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Ultrasonic detection and evaluation of delamination defects in carbon fiber composites based on finite element simulation

Cited by 1 publication

References 22 publications

Research on CFRP Defects Recognition and Localization Based on Metamaterial Sensors

Research on CFRP Defects Recognition and Localization Based on Metamaterial Sensors

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