Lamb wave damage imaging method based on multimodal dispersion compensation and compressive sensing

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

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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
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