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Lamb mode and damage identification using small-sample dictionary algorithm.
- Source :
-
Nondestructive Testing & Evaluation . Apr2024, Vol. 39 Issue 2, p333-346. 14p. - Publication Year :
- 2024
-
Abstract
- In this paper, Lamb mode identification method based on small-sample dictionary algorithm is proposed and applied for the separation of specific Lamb modes, the reconstruction of Lamb waves upon propagating a certain distance and damage identification. This approach includes the creation of small-sample dictionary and querying procession in a dictionary. Firstly, Lamb wave signals upon propagating at a series of distances are simulated, and signal features, {mode, distance, time of flight (Tof), wavelet energy}, are extracted to create a dictionary; secondly, Tof of the received signal is extracted, and then Lamb modes are identified by searching the dictionary; finally, energy parameters are estimated to reconstruct wavepackets. The feasibility of this algorithm is validated in AAA laminate, and the results are presented. In a 2D-simulation model of a pitch-catch configuration, A0 and S0 modes can be identified and reconstructed effectively when the direct waves and the reflected waves are synchronously received, with the propagation distance of 0.3 m and 0.5 m, respectively. In addition, a Lamb-wave-based delamination location is conducted in three-dimensional AAA laminate. The experimental results show that the delamination can be located relatively by combining the identified damage-scattered S0 waves and the probability-based diagnostic imaging. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10589759
- Volume :
- 39
- Issue :
- 2
- Database :
- Academic Search Index
- Journal :
- Nondestructive Testing & Evaluation
- Publication Type :
- Academic Journal
- Accession number :
- 176146919
- Full Text :
- https://doi.org/10.1080/10589759.2023.2196423