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Frequency-wavenumber domain analysis of guided wavefields.
Thomas E Michaels1, Jennifer E Michaels, Massimo Ruzzene
1School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States.
Advanced signal processing of full wavefield measurements enables detailed analysis of guided waves for structural health monitoring. This technique effectively detects and quantifies damage by isolating scattered waves and analyzing wave modes.
Area of Science:
- Non-destructive testing and evaluation
- Materials science
- Acoustics
Background:
- Guided waves are crucial for structural health monitoring.
- Analyzing wave propagation and scattering provides insights into material integrity.
- Existing methods may struggle with weak scattered waves and complex mode interactions.
Purpose of the Study:
- To develop and demonstrate advanced signal processing techniques for analyzing full wavefield measurements.
- To enhance the detection, localization, and quantification of structural damage using guided wave analysis.
- To characterize guided wave propagation, reflection, and scattering phenomena.
Main Methods:
- Acquisition of full wavefield data using air-coupled transducers or scanning laser vibrometers.
- Application of signal and imaging processing algorithms, including frequency-wavenumber domain filtering.
- Techniques for source wave removal and guided wave mode separation.
Main Results:
- Wavefield images clearly visualize guided wave propagation, reflection, and scattering.
- Incident wave removal effectively highlights weak scatterers and their locations.
- Guided wave mode separation allows characterization of individual mode contributions and mode conversion.
Conclusions:
- The demonstrated methods are effective for detecting structural damage, such as delamination in composite plates and cracks.
- Advanced signal processing significantly improves the analysis of weak scattered waves and complex wave phenomena.
- Full wavefield measurements combined with sophisticated algorithms offer a powerful approach to structural health monitoring.
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