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.…
Dokumentart: | Artikel (Wissenschaftlicher) |
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Verfasserangaben: | Dr. Muyiwa AlaladeORCiD, Ina ReichertORCiD, Dr. Daniel KöhnORCiD, Prof. Dr.-Ing. Frank WuttkeGND, Prof. Dr. rer. nat. Tom LahmerORCiDGND |
DOI (Zitierlink): | https://doi.org/10.3390/infrastructures7120161Zitierlink |
URN (Zitierlink): | https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20221201-48396Zitierlink |
URL: | https://www.mdpi.com/2412-3811/7/12/161 |
Titel des übergeordneten Werkes (Englisch): | Infrastructures |
Verlag: | MDPI |
Verlagsort: | Basel |
Herausgeber: | Chunxu Qu, Chunxu Gao, Rui Zhang, Ziguang Jia, Jiaxiang Li |
Sprache: | Englisch |
Datum der Veröffentlichung (online): | 27.11.2022 |
Datum der Erstveröffentlichung: | 27.11.2022 |
Datum der Freischaltung: | 01.12.2022 |
Veröffentlichende Institution: | Bauhaus-Universität Weimar |
Institute und Partnereinrichtugen: | Fakultät Bauingenieurwesen / Institut für Strukturmechanik (ISM) |
An-Institute / Materialforschungs- und -prüfanstalt an der Bauhaus-Universität | |
Jahrgang: | 2022 |
Ausgabe / Heft: | Volume 7, issue 12, article 161 |
Seitenzahl: | 19 |
Freies Schlagwort / Tag: | OA-Publikationsfonds2022 damage identification; dams; full-waveform inversion; inverse analysis; wave propagation |
GND-Schlagwort: | Damm; Defekt |
DDC-Klassifikation: | 600 Technik, Medizin, angewandte Wissenschaften |
BKL-Klassifikation: | 56 Bauwesen |
Open Access Publikationsfonds: | Open-Access-Publikationsfonds 2022 |
Lizenz (Deutsch): | Creative Commons 4.0 - Namensnennung-Nicht kommerziell-Keine Bearbeitung (CC BY-NC-ND 4.0) |