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.…
Document Type: | Article |
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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 (ISM) |
An-Institute / Materialforschungs- und -prüfanstalt an der Bauhaus-Universität | |
Volume: | 2022 |
Issue: | Volume 7, issue 12, article 161 |
Pagenumber: | 19 |
Tag: | OA-Publikationsfonds2022 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): | Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0) |