Dr Qing Wang qing.wang@durham.ac.uk
Associate Professor
Multifrequency Identification and Exploitation in Lamb Wave Inspection
Wang, Zhe; Huang, Songling; Wang, Shen; Wang, Qing; Zhao, Wei
Authors
Songling Huang
Dr Qing Wang qing.wang@durham.ac.uk
Associate Professor
Dr Qing Wang qing.wang@durham.ac.uk
Associate Professor
Wei Zhao
Abstract
Lamb wave inspection provides a promising method to assess the structural health status. However, Lamb wave modes exhibit different characteristics which vary with frequency significantly. The best excitation frequency usually cannot be determined in specific applications. This work proposes a multifrequency exploitation and identification method. Lamb waves of multiple frequencies are excitated simultaneously to utilize diverse attributes of Lamb waves in different frequency ranges. This paper firstly analyzes the detectability and sensitivity of Lamb wave. Then the multifrequency exploitation scheme and corresponding post-processing method are introduced. Relevant simulations by finite element method are conducted to verify its effectiveness. Experiments of single-frequency and multifrequency excitations are implemented. The investigations indicate that the proposed method can avoid the missing of defects compared with single-frequency excitation. In addition, a post-processing method is suggested and the results demonstrate that the multifrequency excitation also provides high accuracy in defect location.
Citation
Wang, Z., Huang, S., Wang, S., Wang, Q., & Zhao, W. (2019). Multifrequency Identification and Exploitation in Lamb Wave Inspection. IEEE Access, 7, 150435-150443. https://doi.org/10.1109/access.2019.2947711
Journal Article Type | Article |
---|---|
Acceptance Date | Oct 7, 2019 |
Online Publication Date | Oct 16, 2019 |
Publication Date | Oct 16, 2019 |
Deposit Date | Nov 14, 2019 |
Publicly Available Date | Nov 14, 2019 |
Journal | IEEE Access |
Electronic ISSN | 2169-3536 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 7 |
Article Number | 150435-150443 |
Pages | 150435-150443 |
DOI | https://doi.org/10.1109/access.2019.2947711 |
Public URL | https://durham-repository.worktribe.com/output/1277466 |
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http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see http://creativecommons.org/licenses/by/4.0/
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