
Sparse array (nonlinear) guided wave imaging for localization of damage in composites
- Author
- Yusheng Ma (UGent) , Saeid Hedayatrasa (UGent) , Koen Van den Abeele and Mathias Kersemans (UGent)
- Organization
- Abstract
- Composite materials are subjected to an increasing importance in critical components commonly used for automotive, aerospace and other modern industrial sectors. Yet, these composites are quite susceptible to damages and defects which can be introduced during the manufacturing and/or operational life. Reconstruction Algorithm for the Probabilistic Inspection of Damage (RAPID) and Delay and Sum (DAS) are well-known guided wave imaging techniques capable to reveal the presence of damage in a sparse ultrasonic sensor network. In this study, several factors in RAPID are investigated to understand their influence on the quality of the reconstructed damage map for a composite laminate with an inter-ply defect. A critical comparison between RAPID and DAS is performed in terms of their accuracy and calculation cost. Finally, results are presented on a baseline-free probabilistic imaging modality by exploiting nonlinear wave/defect interactions.
- Keywords
- DELAMINATIONS, Guided wave imaging, Composite, RAPID, DAS, Ultrasound, Nonlinear, Sparse sensor network, DELAMINATIONS
Downloads
-
EWSHM 2022-Paper-YushengMA final.pdf
- full text (Accepted manuscript)
- |
- open access
- |
- |
- 1.44 MB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01GK1BNPK6FR87W5JXADF3979H
- MLA
- Ma, Yusheng, et al. “Sparse Array (Nonlinear) Guided Wave Imaging for Localization of Damage in Composites.” European Workshop on Structural Health Monitoring (EWSHM 2022), VOL 1, edited by Piervincenzo Rizzo and Alberto Milazzo, vol. 253, Springer-Verlag, 2023, pp. 193–202, doi:10.1007/978-3-031-07254-3_19.
- APA
- Ma, Y., Hedayatrasa, S., Van den Abeele, K., & Kersemans, M. (2023). Sparse array (nonlinear) guided wave imaging for localization of damage in composites. In P. Rizzo & A. Milazzo (Eds.), European Workshop on Structural Health Monitoring (EWSHM 2022), VOL 1 (Vol. 253, pp. 193–202). https://doi.org/10.1007/978-3-031-07254-3_19
- Chicago author-date
- Ma, Yusheng, Saeid Hedayatrasa, Koen Van den Abeele, and Mathias Kersemans. 2023. “Sparse Array (Nonlinear) Guided Wave Imaging for Localization of Damage in Composites.” In European Workshop on Structural Health Monitoring (EWSHM 2022), VOL 1, edited by Piervincenzo Rizzo and Alberto Milazzo, 253:193–202. Singapore: Springer-Verlag. https://doi.org/10.1007/978-3-031-07254-3_19.
- Chicago author-date (all authors)
- Ma, Yusheng, Saeid Hedayatrasa, Koen Van den Abeele, and Mathias Kersemans. 2023. “Sparse Array (Nonlinear) Guided Wave Imaging for Localization of Damage in Composites.” In European Workshop on Structural Health Monitoring (EWSHM 2022), VOL 1, ed by. Piervincenzo Rizzo and Alberto Milazzo, 253:193–202. Singapore: Springer-Verlag. doi:10.1007/978-3-031-07254-3_19.
- Vancouver
- 1.Ma Y, Hedayatrasa S, Van den Abeele K, Kersemans M. Sparse array (nonlinear) guided wave imaging for localization of damage in composites. In: Rizzo P, Milazzo A, editors. European Workshop on Structural Health Monitoring (EWSHM 2022), VOL 1. Singapore: Springer-Verlag; 2023. p. 193–202.
- IEEE
- [1]Y. Ma, S. Hedayatrasa, K. Van den Abeele, and M. Kersemans, “Sparse array (nonlinear) guided wave imaging for localization of damage in composites,” in European Workshop on Structural Health Monitoring (EWSHM 2022), VOL 1, Univ Palermo, Dept Engn, Palermo, ITALY, 2023, vol. 253, pp. 193–202.
@inproceedings{01GK1BNPK6FR87W5JXADF3979H, abstract = {{Composite materials are subjected to an increasing importance in critical components commonly used for automotive, aerospace and other modern industrial sectors. Yet, these composites are quite susceptible to damages and defects which can be introduced during the manufacturing and/or operational life. Reconstruction Algorithm for the Probabilistic Inspection of Damage (RAPID) and Delay and Sum (DAS) are well-known guided wave imaging techniques capable to reveal the presence of damage in a sparse ultrasonic sensor network. In this study, several factors in RAPID are investigated to understand their influence on the quality of the reconstructed damage map for a composite laminate with an inter-ply defect. A critical comparison between RAPID and DAS is performed in terms of their accuracy and calculation cost. Finally, results are presented on a baseline-free probabilistic imaging modality by exploiting nonlinear wave/defect interactions.}}, author = {{Ma, Yusheng and Hedayatrasa, Saeid and Van den Abeele, Koen and Kersemans, Mathias}}, booktitle = {{European Workshop on Structural Health Monitoring (EWSHM 2022), VOL 1}}, editor = {{Rizzo, Piervincenzo and Milazzo, Alberto}}, isbn = {{9783031072536}}, issn = {{2366-2557}}, keywords = {{DELAMINATIONS,Guided wave imaging,Composite,RAPID,DAS,Ultrasound,Nonlinear,Sparse sensor network,DELAMINATIONS}}, language = {{eng}}, location = {{Univ Palermo, Dept Engn, Palermo, ITALY}}, pages = {{193--202}}, publisher = {{Springer-Verlag}}, title = {{Sparse array (nonlinear) guided wave imaging for localization of damage in composites}}, url = {{http://doi.org/10.1007/978-3-031-07254-3_19}}, volume = {{253}}, year = {{2023}}, }
- Altmetric
- View in Altmetric
- Web of Science
- Times cited: