TY  - JOUR
A1  - Alalade, Muyiwa
A1  - Reichert, Ina
A1  - Köhn, Daniel
A1  - Wuttke, Frank
A1  - Lahmer, Tom
A2  - Qu, Chunxu
A2  - Gao, Chunxu
A2  - Zhang, Rui
A2  - Jia, Ziguang
A2  - Li, Jiaxiang
T1  - A Cyclic Multi-Stage Implementation of the Full-Waveform Inversion for the Identification of Anomalies in Dams
T2  - Infrastructures
N2  - 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.
KW  - Damm
KW  - Defekt
KW  - inverse analysis
KW  - damage identification
KW  - full-waveform inversion
KW  - dams
KW  - wave propagation
KW  - OA-Publikationsfonds2022
Y1  - 2022
UR  - https://e-pub.uni-weimar.de/opus4/frontdoor/index/index/docId/4839
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20221201-48396
UR  - https://www.mdpi.com/2412-3811/7/12/161
VL  - 2022
IS  - Volume 7, issue 12, article 161
PB  - MDPI
CY  - Basel
ER  -