ULTRASONIC ARRAY IMAGING FOR TWO-LAYERED MEDIA USING THE INTERFACIAL INTERPOLATION TECHNIQUE BASED ON MACHINE LEARNING

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Other Title
  • 機械学習による界面補間を援用した二層体に対するアレイ超音波イメージング

Abstract

<p>Internal flaws in a structural component are reconstructed using the full-wave sampling and processing (FSAP) technique which utilizes the ultrasonic wave transmitted through a couplant. In the first step, the shape of the irregular interface is reconstructed by the conventional FSAP. Using the estimated interfacial shape, the path of the diffracted wave through the interface is calculated for the shape reconstruction of the internal flaw in the second step. In this study, the intelligent interpolation of the incomplete shape of the interface was carried out with the aid of the pix2pix that is a kind of generative adversarial network. The training data was made by massive simulated data in wave propagation analyses. The validation by experimental measurement showed that the interpolation of the interface by the pix2pix learning model could enhance the accuracy of the flaw reconstruction in the FSAP.</p>

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Details 詳細情報について

  • CRID
    1390290088580948352
  • NII Article ID
    130008118327
  • DOI
    10.11532/jsceiii.2.j2_466
  • ISSN
    24359262
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
    • KAKEN
  • Abstract License Flag
    Disallowed

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