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Damage Detection in CFRP Composite Joints using Acoustic Emission Analysis

Wenhao Li1,*, Zongyang Liu1,2, Dingcheng Ji1,2, Yiding Liu3,*

1 Advanced Manufacturing Center, Ningbo Institute of Technology, Beihang University, Ningbo, 315100, China
2 Science & Technology on Reliability and Environmental Engineering Laboratory, Beihang University, Beijing, 100191, China
3 School of Engineering, Physics and Computer Science, University of Hertfordshire, Hertfordshire, AL10 9AB, UK

* Corresponding Author: Yiding Liu. Email: email

The International Conference on Computational & Experimental Engineering and Sciences 2024, 31(1), 1-1. https://doi.org/10.32604/icces.2024.011927

Abstract

This research advances the field by focusing on the damage assessment of adhesively bonded joints using AE, with limited prior studies in this specific area. Through the preparation of CFRP specimens and subsequent tensile loading tests, AE signals were captured and analyzed. The study employed wavelet decomposition for noise reduction and Short-Time Fourier Transform (STFT) for signal analysis, facilitating the identification of damage-related frequencies and amplitudes. Hierarchical clustering was applied to categorize AE signals into distinct damage behaviors, utilizing a divisive approach that avoids local minima and offers unique results at each iteration. The method's effectiveness was validated through the calculation of the cophenetic correlation coefficient (CCC), with a cosine distance metric yielding the highest CCC values, indicating a strong correlation between hierarchical clustering structures and actual data distances. Optimal clustering was determined through silhouette score and Davies-Bouldin index, establishing three as the optimal number of damage categories. This research not only highlights the utility of AE in monitoring damage in composite joints but also demonstrates the effectiveness of hierarchical clustering and signal processing techniques in classifying distinct damage mechanisms, providing a foundation for further investigation into preventive measures against catastrophic failures in composite structures.

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Cite This Article

APA Style
Li, W., Liu, Z., Ji, D., Liu, Y. (2024). Damage detection in CFRP composite joints using acoustic emission analysis. The International Conference on Computational & Experimental Engineering and Sciences, 31(1), 1-1. https://doi.org/10.32604/icces.2024.011927
Vancouver Style
Li W, Liu Z, Ji D, Liu Y. Damage detection in CFRP composite joints using acoustic emission analysis. Int Conf Comput Exp Eng Sciences . 2024;31(1):1-1 https://doi.org/10.32604/icces.2024.011927
IEEE Style
W. Li, Z. Liu, D. Ji, and Y. Liu, “Damage Detection in CFRP Composite Joints using Acoustic Emission Analysis,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 31, no. 1, pp. 1-1, 2024. https://doi.org/10.32604/icces.2024.011927



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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