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SH1 guided wave tomography

Authors: Andreas A. E. Zimmermann (Imperial College London) , Peter Huthwaite (Imperial College London) , Brian Pavlakovic (Guided Ultrasonics Ltd.)

  • SH1 guided wave tomography

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    SH1 guided wave tomography

    Authors: , ,

Abstract

It is vital for the petrochemical industry to be able to accurately quantify wall loss, especially for the case of corrosion under pipe support, where limited access to the corroded area increases inspection difficulty. Guided wave tomography has been proposed as a solution, as it can provide thickness maps of the region of interest by utilizing the dispersive nature of certain guided wave modes. The maps are generated by transmitting guided waves through the corrosion patch and applying tomographic reconstruction methods to the measured signals. Previously, fundamental Lamb wave-mode based approaches have been shown to be able to reconstruct the thickness of corrosion patches. However, they suffered from poor resolution as they operate at low frequencies and differ in their scattering behaviour from pure acoustic scattering. In this study, the SH1 guided wave mode was investigated as it exists at higher frequencies and features the dispersive nature necessary for thickness inversion. It was found that SH1 guided waves follow the scattering behaviour of the acoustic case to a greater extent than Lamb waves, promising a great improvement of resolution. Using the Pogo finite element package for 3d simulations of plates with various defects, high resolution thickness maps were generated by applying HARBUT, the Hybrid Algorithm for Robust Breast Ultrasound Tomography to the simulation data. Initial experimental results using EMAT transducers for SH signal generation corroborate the numerical results in showing the great potential of utilising SH1 for guided wave tomography.

How to Cite:

Zimmermann, A. A., Huthwaite, P. . & Pavlakovic, B. ., (2019) “SH1 guided wave tomography”, Review of Progress in Quantitative Nondestructive Evaluation .

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Published on
03 Dec 2019
Peer Reviewed
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