Chen, Y, Liu, W, Zhang, G, Su, X, Ma, H, Wan, X and Dong, M (2026) Lamb wave damage imaging method based on multimodal dispersion compensation and compressive sensing. Nondestructive Testing and Evaluation. ISSN 1058-9759
Preview |
Text
Lamb wave damage imaging method based on multimodal dispersion compensation and compressive sensing.pdf - Accepted Version Available under License Creative Commons Attribution. Download (2MB) | Preview |
Abstract
To address the challenges of wave packet broadening and signal distortion caused by multimodality and dispersion effects in Lamb wave-based damage detection for carbon fibre-reinforced polymer (CFRP) laminates, this paper proposes an imaging method that combines multimodal dispersion compensation and compressive sensing (CS). First, the Rayleigh-Lamb equation is solved using the T300/5028 material parameters to establish the dispersion characteristic model. A baseline-free multimodal dispersion compensation technique is developed for performing frequency-domain phase correction and time-domain signal reconstruction, allowing accurate estimation of the compensation distance between each sensor and the damage. Subsequently, a CS-based imaging algorithm that fuses delay-and-sum (DAS) and sparse reconstruction is proposed and verified using finite‑element simulations and experimental tests. The results show maximum localisation errors of 2.03 ± 0.05 mm in simulations and 2.31 ± 0.56 mm in experiments. This work provides theoretical insights and experimental support for the high-precise identification of delamination damage in anisotropic composite materials.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Multimodal dispersion compensation; phase compensation; compressive sensing; high-precision detection; lamb wave imaging; 4006 Communications Engineering; 40 Engineering; 4016 Materials Engineering; 0912 Materials Engineering; 0913 Mechanical Engineering; Acoustics; 4016 Materials engineering |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Engineering |
| Publisher: | Taylor & Francis Group |
| Date of acceptance: | 24 March 2026 |
| Date of first compliant Open Access: | 30 May 2026 |
| Date Deposited: | 29 May 2026 12:36 |
| Last Modified: | 30 May 2026 00:50 |
| DOI or ID number: | 10.1080/10589759.2026.2652535 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/28679 |
![]() |
View Item |
Export Citation
Export Citation