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Efficient Guided Wave Modelling for Tomographic Corrosion Mapping via One-Way Wavefield Extrapolation.

Emiel Hassefras¹, Arno Volker¹, Martin Verweij²

¹Acoustic Sensor and Sonar Systems, Department of Acoustic & Underwater Warfare, Netherlands Organisation for Applied Scientific Research (TNO), 2597 AK Den Haag, The Netherlands.

Sensors (Basel, Switzerland)

|June 27, 2024

Summary

A new recursive extrapolation scheme significantly speeds up guided wave tomography for pipeline inspection. This method accurately models wave propagation, enabling faster and more precise corrosion depth mapping.

Keywords:

acoustic formulation corrosion monitoring extrapolation operators tomography

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Area of Science:

Materials Science
Non-Destructive Testing
Wave Physics

Background:

Accurate defect sizing in pipeline inspection relies on precise forward models in guided wave tomography.
Current methods face challenges in speed and accuracy when modeling complex wave phenomena.

Purpose of the Study:

To evaluate a recursive extrapolation scheme for guided wave tomography and full waveform inversion.
To enhance the speed and accuracy of modeling wave propagation in extensive pipeline sections.

Main Methods:

A table-driven approach using precomputed extrapolation operators across wavenumbers.
Solving the 3D elastodynamic wave equation for multiple wave modes (A0, S0, SH1) and helical paths.
Numerical validation and comparison with experimental single-mode wavefield data.

Main Results:

The recursive extrapolation scheme achieves modeling speeds comparable to ray tracing.
Accurate handling of complex velocity models and diffraction phenomena across the full frequency band.
Numerical studies and experimental comparisons show good agreement for wavefield prediction.

Conclusions:

The recursive extrapolation scheme is effective for guided wave tomography and full waveform inversion.
This method offers a significant advancement in fast and accurate pipeline defect characterization.
The approach demonstrates potential for real-world applications in structural health monitoring.