• Media type: E-Article
  • Title: A Cyclic Multi-Stage Implementation of the Full-Waveform Inversion for the Identification of Anomalies in Dams
  • Contributor: Alalade, Muyiwa [Author]; Reichert, Ina [Author]; Köhn, Daniel [Author]; Wuttke, Frank [Author]; Lahmer, Tom ( Dr. rer. nat.) [Author]
  • Published: Publication Server of Weimar Bauhaus-University / Online-Publikations-System der Bauhaus-Universität Weimar, 2022-11-27
  • Language: English
  • Keywords: Defekt ; Damm ; bk:56 ; OA-Publikationsfonds2022 ; damage identification ; full-waveform inversion ; inverse analysis ; wave propagation ; dams
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  • Description: For the safe and efficient operation of dams, frequent monitoring and maintenance are required. These are usually expensive, time consuming, and cumbersome. To alleviate these issues, we propose applying a wave-based scheme for the location and quantification of damages in dams. To obtain high-resolution “interpretable” images of the damaged regions, we drew inspiration from non-linear full-multigrid methods for inverse problems and applied a new cyclic multi-stage full-waveform inversion (FWI) scheme. Our approach is less susceptible to the stability issues faced by the standard FWI scheme when dealing with ill-posed problems. In this paper, we first selected an optimal acquisition setup and then applied synthetic data to demonstrate the capability of our approach in identifying a series of anomalies in dams by a mixture of reflection and transmission tomography. The results had sufficient robustness, showing the prospects of application in the field of non-destructive testing of dams.
  • Access State: Open Access