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A Cyclic Multi-Stage Implementation of the Full-Waveform Inversion for the Identification of Anomalies in Dams

  • 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-linearFor 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.show moreshow less

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  • Gefördert durch das Programm Open Access Publizieren der DFG und den Publikationsfonds der Bauhaus-Universität Weimar.

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Document Type:Article
Author:Dr. Muyiwa AlaladeORCiD, Ina ReichertORCiD, Dr. Daniel KöhnORCiD, Prof. Dr.-Ing. Frank WuttkeGND, Prof. Dr. rer. nat. Tom LahmerORCiDGND
DOI (Cite-Link):https://doi.org/10.3390/infrastructures7120161Cite-Link
URN (Cite-Link):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20221201-48396Cite-Link
URL:https://www.mdpi.com/2412-3811/7/12/161
Parent Title (English):Infrastructures
Publisher:MDPI
Place of publication:Basel
Editor: Chunxu Qu, Chunxu Gao, Rui Zhang, Ziguang Jia, Jiaxiang Li
Language:English
Date of Publication (online):2022/11/27
Date of first Publication:2022/11/27
Release Date:2022/12/01
Publishing Institution:Bauhaus-Universität Weimar
Institutes and partner institutions:Fakultät Bauingenieurwesen / Institut für Strukturmechanik
An-Institute / Materialforschungs- und -prüfanstalt an der Bauhaus-Universität
Volume:2022
Issue:Volume 7, issue 12, article 161
Pagenumber:19
Tag:damage identification; dams; full-waveform inversion; inverse analysis; wave propagation
GND Keyword:Damm; Defekt
Dewey Decimal Classification:600 Technik, Medizin, angewandte Wissenschaften
BKL-Classification:56 Bauwesen
Open Access Publikationsfonds:Open-Access-Publikationsfonds 2022
Licence (German):License Logo Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0)