EventsThe 18th Advanced Infrared Technology and Applications (AITA2025)
Published
This submission belongs to the session Session 9. Session 9 of the event The 18th Advanced Infrared Technology and Applications (AITA2025)
Published date
29 Aug, 2025
Academic Editor
author-avatarHirotsugu Inoue
Citation
Chia-Chi Cheng, Defect Detection in Composite Wind Turbine Blade Sandwich Panels Using Dispersion Characteristics of Stress Waves, in Proceedings of The 18th Advanced Infrared Technology and Applications (AITA2025), Kobe, Hyogo, 15 September–19 September 2025, MDPI: Basel, Switzerland
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Defect Detection in Composite Wind Turbine Blade Sandwich Panels Using Dispersion Characteristics of Stress Waves

1. Chaoyang University of Technology, Taiwan
Abstract

To detect delamination and internal void defects within sandwich composite ma-terials, such as those used in wind turbine blades, this study employs a Remote Impact Test (RIT), analyzing the dispersion characteristics of the generated stress waves. RITs were conducted on specimens that varied in both thickness and defect type. Time-frequency spectrograms and dispersion curves were then obtained using two time-frequency analysis techniques: wavelet analysis and reassigned spectrograms (derived from Short-Time Fourier Transformation). The accuracy of defect identifica-tion is demonstrably improved through the cross-examination of the findings from these methods.

Keywords
sandwich composite
wind turbine blade
dispersion
stress waves
dtw
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