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Guided electromagnetic waves for damage detection and localization in metallic plates: numerical and experimental results

Published online by Cambridge University Press:  30 March 2020

Jochen Moll Open the ORCID record for Jochen Moll [Opens in a new window]
Jochen Moll*
Affiliation:
Goethe University of Frankfurt, Department of Physics, 60438Frankfurt, Germany
*
Author for correspondence: Jochen Moll, E-mail: [email protected]
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Abstract

Electromagnetic waves in the microwave and millimeter-wave frequency range are used in non-destructive testing and structural health monitoring applications to detect material defects such as delaminations, cracks, or inclusions. This work presents a sensing concept based on guided electromagnetic waves (GEW), in which the waveguide forms a union with the structure to be inspected. Exploiting ultra-wideband signals a surface defect in the area under the waveguide can be detected and accurately localized. This paper presents numerical and experimental GEW results for a straight waveguide focusing on the detection of through holes and cracks with different orientation. It was found that the numerical model qualitatively replicates the experimental S-parameter measurements for holes of different diameters. A parametric numerical study indicates that the crack parameters such as its orientation and width has a significant influence on the interaction of the incident wave with the structural defect. On top, a numerical study is performed for complex-shaped rectangular waveguides including several waveguide bends. Besides a successful damage detection, the damage position can also be precisely determined with a maximum localization error of less than 3%.

Keywords

Guided electromagnetic wavesdamage detection and localizationmm-wavesUWB
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 12 , Special Issue 6: EuCAP 2019 Special Issue , July 2020 , pp. 455 - 460
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Copyright
Copyright © Cambridge University Press and the European Microwave Association 2020

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References

Kharkovsky, S and Zoughi, R (2007) Microwave and millimeter wave nondestructive testing and evaluation – overview and recent advances. IEEE Instrumentation & Measurement Magazine 10(2), 26–38.CrossRefGoogle Scholar
Fukasawa, R (2015) Terahertz imaging: widespread industrial application in non-destructive inspection and chemical analysis. IEEE Transactions on Terahertz Science and Technology 5(6), 1121–1127.Google Scholar
Yang, R, He, Y and Zhang, H (2016) Progress and trends in nondestructive testing and evaluation for wind turbine composite blade. Renewable and Sustainable Energy Reviews 60, 1225–1250.CrossRefGoogle Scholar
Li, Z, Haigh, A, Soutis, C, Gibson, A and Sloan, R (2017) Microwaves sensor for wind turbine blade inspection. Applied Composite Materials 24(2), 495–512.10.1007/s10443-016-9545-9CrossRefGoogle Scholar
Ali, A, Hu, B and Ramahi, O (2015) Intelligent detection of cracks in metallic surfaces using a waveguide sensor loaded with metamaterial elements. Sensors 15(5), 11402–11416.CrossRefGoogle ScholarPubMed
Albishi, AM and Ramahi, OM (2017) Microwaves-based high sensitivity sensors for crack detection in metallic materials. IEEE Transactions on Microwave Theory and Techniques 65(5), 1864–1872.10.1109/TMTT.2017.2673823CrossRefGoogle Scholar
Moll, J, Arnold, P, Mälzer, M, Krozer, V, Pozdniakov, D, Salman, R, Rediske, S, Scholz, M, Friedmann, H and Nuber, A (2018) Radar-based structural health monitoring of wind turbine blades: the case of damage detection. Structural Health Monitoring 17(4), 815–822.10.1177/1475921717721447CrossRefGoogle Scholar
Arnold, P, Moll, J, Mälzer, M, Krozer, V, Pozdniakov, D, Salman, R, Rediske, S, Scholz, M, Friedmann, H and Nuber, A (2018) Radar-based structural health monitoring of wind turbine blades: the case of damage localization. Wind Energy 21(8), 676–680.CrossRefGoogle Scholar
Moll, J, Simon, J, Mälzer, M, Krozer, V, Pozdniakov, D, Salman, R, Dürr, M, Feulner, M, Nuber, A and Friedmann, H (2018) Radar imaging system for in-service wind turbine blades inspections: initial results from a field installation at a 2MW wind turbine. Progress in Electromagnetic Research (PIER) 162, 51–60.CrossRefGoogle Scholar
Li, C, Peng, Z, Huang, T-Y, Fan, T, Wang, F-K, Horng, T-S, Munoz-Ferreras, J-M, Gomez-Garcia, R, Ran, L and Lin, J (2017) A review on recent progress of portable short-range noncontact microwave radar systems. IEEE Transactions on Microwave Theory and Techniques, 1–15.Google Scholar
Szczepanik, R, Przysowa, R, Spychaa, J, Rokicki, E, Kazmierczak, K and Majewski, P (2012) Application of blade-tip sensors to blade-vibration monitoring in gas turbines. In Rasul M (ed). Thames Street London, UK: Headquarters IntechOpen Limited, pp. 145–17610.5772/29550CrossRefGoogle Scholar
Moll, J (2018) Damage detection and localization in metallic structures based on jointed electromagnetic waveguides: a proof-of-principle study. Journal of Nondestructive Evaluation 37(4).CrossRefGoogle Scholar
Moll, J, Nguyen, D and Krozer, V (2020) A numerical study on tomographic imaging using guided electromagnetic waves. 14th European Conference on Antennas and Propagation (EuCAP 2020) (accepted in December 2019).CrossRefGoogle Scholar
Moll, J (2019) Numerical analysis of two-dimensional waveguide patches for surface damage detection. 12th German Microwave Conference, IEEE, pp. 146–149.10.23919/GEMIC.2019.8698193CrossRefGoogle Scholar
Zhang, B, Chen, W, Wu, Y, Ding, K and Li, R (2017) Review of 3D printed millimeter-wave and terahertz passive devices. International Journal of Antennas and Propagation 2017, 1–10.Google Scholar
Otter, WJ and Lucyszyn, S (2017) Hybrid 3D-printing technology for tunable thz applications. Proceedings of the IEEE 105(4), 756–767.CrossRefGoogle Scholar