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Updated: Apr 27, 2026

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A linear model approach for ultrasonic inverse problems with attenuation and dispersion
Summary
This study introduces a linear ultrasonic model accounting for attenuation and dispersion, improving defect detection and material property estimation. The model accurately reconstructs object properties from noisy data, outperforming existing methods.
Area of Science:
- Non-destructive testing
- Ultrasonic wave propagation
- Materials science
Background:
- Ultrasonic inverse problems require accurate data acquisition models.
- Frequency-dependent attenuation and dispersion significantly alter ultrasonic wave propagation.
- Existing models often neglect these wave propagation effects.
Purpose of the Study:
- To propose a linear ultrasonic model incorporating attenuation and dispersion.
- To enhance the accuracy of ultrasonic inverse problem solutions.
- To improve the estimation of material properties and defect detection.
Main Methods:
- Discretizing propagation distance to create radiation impulse responses.
- Modeling attenuation using a frequency power law.
- Computing dispersion for physically consistent responses.
- Employing robust estimation methods due to model linearity.
Main Results:
- The proposed model outperforms standard attenuation-free models and other literature models.
- Precise estimation of attenuation coefficient and sound velocity using matched filtering.
- Accurate results for thickness estimation via spike deconvolution.
Conclusions:
- The developed linear model effectively accounts for attenuation and dispersion in ultrasonic data.
- This approach enhances the reliability of ultrasonic non-destructive testing and material characterization.
- The model provides a foundation for more accurate ultrasonic inverse problem solutions.
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