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Multi-frequency localized wave energy for delamination identification using laser ultrasonic guided wave
Tianfang Gao1, Xiao Liu1, Jianjian Zhu1
1School of Aerospace Engineering, Xiamen University, Xiamen 361005, China.
This study introduces a multi-frequency localized wave energy algorithm for detecting delamination in composite plates using laser ultrasonic guided waves. The method enhances defect detection by analyzing acoustic energy redistribution, proving effective in simulations and experiments.
Area of Science:
- Materials Science
- Non-Destructive Testing
- Acoustics
Background:
- Delamination is a critical failure mode in multilayered structures.
- Guided wave-based methods are sensitive to delamination defects.
- Multi-frequency approaches are necessary for comprehensive detection.
Purpose of the Study:
- To develop and validate a multi-frequency localized wave energy algorithm for delamination identification.
- To investigate the application of laser ultrasonic guided waves for delamination detection.
- To analyze the influence of delamination on wave energy distribution.
Main Methods:
- Utilizing laser ultrasonic guided waves to generate and detect acoustic waves.
- Developing a multi-frequency localized wave energy algorithm based on wavenumber components.
- Analyzing acoustic energy redistribution caused by delamination-induced mode conversion and scattering.
- Validating the algorithm through simulations and experiments on composite plate specimens.
Main Results:
- The multi-frequency localized wave energy algorithm effectively identifies delamination.
- Experimental results demonstrated reduced noise and clearer delamination profiles.
- The method showed distinct responses for medial and non-medial delamination types.
- Dispersion curve analysis informed the selection of critical parameters for identification.
Conclusions:
- The multi-frequency localized wave energy method is a viable technique for delamination identification in composite structures.
- Laser ultrasonic guided waves combined with this algorithm offer enhanced defect detection capabilities.
- Proper frequency selection and filter threshold are crucial for accurate delamination assessment.
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