Defect Detection in Composite Wind Turbine Blade Sandwich Panels Using Dispersion Characteristics of Stress Waves

To detect delamination and internal void defects within sandwich composite materials, 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 identification is demonstrably improved through the cross–examination of the findings from these methods.

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Publication Details

Published
2025-09-12
DOI
https://doi.org/10.3390/proceedings2025129026
Primary Topic
Ultrasonics and Acoustic Wave Propagation
Type
article
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article

Defect Detection in Composite Wind Turbine Blade Sandwich Panels Using Dispersion Characteristics of Stress Waves

Yung-Chiang Lin, Jien-Chen Chen, C.Y. Lin, Чиа-Чи Ченг
Ultrasonics and Acoustic Wave Propagation
article

Defect Detection in Composite Wind Turbine Blade Sandwich Panels Using Dispersion Characteristics of Stress Waves

Yung-Chiang Lin, Jien-Chen Chen, C.Y. Lin, Чиа-Чи Ченг
article en

Abstract

To detect delamination and internal void defects within sandwich composite materials, 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 identification is demonstrably improved through the cross–examination of the findings from these methods.

Chaoyang University of Technology (TW), Industrial Technology Research Institute (TW)
Openalex Percentile: Top 70%
Ultrasonics and Acoustic Wave Propagation
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