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Optimization algorithms for ultrasonic array Imaging in homogeneous anisotropic steel components with unknown properties

Abstract : In this paper, we investigate the ability of an adaptive ultrasonic method to image point-like reflectors inside anisotropic and homogeneous nuclear steels with unknown properties, such as V-shape welds or cladded components. The optimization scheme combines the Total Focusing Method (TFM) imaging algorithm with a customized gradient ascent method to improve both the quality and the reliability of ultrasound images. A statistical analysis of its robustness is performed with simulated echoes and using a surrogate model to speed up the computation times of the TFM images. Then, the optimization procedure is evaluated with several experimental cases and provides highly enhanced images with a 5 MHz array. The positioning of the artificial defects of 2.0 mm diameter is estimated with less than 1 mm error with respect to their actual position, and the signal-to-noise ratio is increased by up to 10 dB. The elastic properties are also estimated with less than 10% error when compared to their actual values.
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Contributor : Dominique Lesselier <>
Submitted on : Wednesday, February 12, 2020 - 9:58:01 AM
Last modification on : Wednesday, September 16, 2020 - 4:42:48 PM

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Corentin Ménard, Sebastien Robert, Roberto Miorelli, Dominique Lesselier. Optimization algorithms for ultrasonic array Imaging in homogeneous anisotropic steel components with unknown properties. NDT & E International, Elsevier, In press, ⟨10.1016/j.ndteint.2020.102327⟩. ⟨hal-02475497⟩

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