TY  - THES
A1  - Khademi Zahedi, Reza
T1  - Stress Distribution in Buried Defective PE Pipes and Crack Propagation in Nanosheets
N2  - Buried PE pipelines are the main choice for transporting hazardous hydrocarbon fluids and are used in urban gas distribution networks.
Molecular dynamics (MD) simulations used to investigate material behavior at nanoscale.
KW  - Gasleitung
KW  - gas pipes
KW  - Riss
KW  - Defekt
KW  - defects
KW  - nanosheets
KW  - crack
KW  - maximum stress
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20210803-44814
ER  - 
TY  - JOUR
A1  - Alalade, Muyiwa
A1  - Reichert, Ina
A1  - Köhn, Daniel
A1  - Wuttke, Frank
A1  - Lahmer, Tom
ED  - Qu, Chunxu
ED  - Gao, Chunxu
ED  - Zhang, Rui
ED  - Jia, Ziguang
ED  - Li, Jiaxiang
T1  - A Cyclic Multi-Stage Implementation of the Full-Waveform Inversion for the Identification of Anomalies in Dams
JF  - 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
U6  - http://nbn-resolving.de/urn/resolver.pl?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  -