TY  - JOUR
A1  - Al-Yasiri, Zainab Riyadh Shaker
A1  - Mutashar, Hayder Majid
A1  - Gürlebeck, Klaus
A1  - Lahmer, Tom
ED  - Shafiullah, GM
T1  - Damage Sensitive Signals for the Assessment of the Conditions of Wind Turbine Rotor Blades Using Electromagnetic Waves
JF  - Infrastructures
N2  - One of the most important renewable energy technologies used nowadays are wind power turbines. In this paper, we are interested in identifying the operating status of wind turbines, especially rotor blades, by means of multiphysical models. It is a state-of-the-art technology to test mechanical structures with ultrasonic-based methods. However, due to the density and the required high resolution, the testing is performed with high-frequency waves, which cannot penetrate the structure in depth. Therefore, there is a need to adopt techniques in the fields of multiphysical model-based inversion schemes or data-driven structural health monitoring. Before investing effort in the development of such approaches, further insights and approaches are necessary to make the techniques applicable to structures such as wind power plants (blades). Among the expected developments, further accelerations of the so-called “forward codes” for a more efficient implementation of the wave equation could be envisaged. Here, we employ electromagnetic waves for the early detection of cracks. Because in many practical situations, it is not possible to apply techniques from tomography (characterized by multiple sources and sensor pairs), we focus here on the question of whether the existence of cracks can be determined by using only one source for the sent waves.
KW  - Windkraftwerk
KW  - Rotorblatt
KW  - Elektrostatische Welle
KW  - MATLAB
KW  - wind turbine rotor blades
KW  - electromagnetic waves
KW  - crack detection
KW  - Empire XPU 8.01
KW  - Matlab
KW  - OA-Publikationsfonds2022
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20220831-47093
UR  - https://www.mdpi.com/2412-3811/7/8/104
VL  - 2022
IS  - Volume 7, Issue 8 (August 2022), article 104
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Lahmer, Tom
A1  - Bock, Sebastian
A1  - Hildebrand, Jörg
A1  - Gürlebeck, Klaus
T1  - Non-destructive identification of residual stresses in steel under thermal loadings
JF  - Inverse Problems in Science and Engineering
N2  - Non-destructive identification of residual stresses in steel under thermal loadings
KW  - Angewandte Mathematik
KW  - Stochastik
KW  - Strukturmechanik
Y1  - 2016
SP  - 1
EP  - 17
ER  -