Lamb wave based damage imaging in variable thickness plates
•A Lamb wave based damage imaging method for variable thickness plates is proposed.•Damage localization is achieved in variable thickness aluminum plates.•A prediction model for scattering signals in variable thickness plates is developed. The researches on Lamb wave based damage localization for co...
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Veröffentlicht in: | Mechanical systems and signal processing 2025-01, Vol.223, p.111926, Article 111926 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | •A Lamb wave based damage imaging method for variable thickness plates is proposed.•Damage localization is achieved in variable thickness aluminum plates.•A prediction model for scattering signals in variable thickness plates is developed.
The researches on Lamb wave based damage localization for constant thickness plates have been widely investigated in the field of structural health monitoring, while the issue of Lamb wave based damage imaging in variable thickness plates is rarely addressed. This is because the Lamb wave propagation characteristics in plates with varying thickness is more complex than that with constant thickness. In this study, a Lamb wave based damage imaging method using a sensor array is proposed for damage localization in variable thickness plates. In the process of point-by-point imaging within the interested imaging area, a signal back-propagation operator based on a Lamb wave propagation model can deal with the problem of dispersion compensation for Lamb waves propagating in variable thickness plates. The Lamb wave propagation model, which is based on the assumption that Lamb waves propagating in a variable thickness plate can be seen as that propagating in a sequence of short and constant thickness plates with different thicknesses, can predict Lamb wave response waveform in variable thickness plates. Numerical simulations and experiments on aluminum plates with linearly varying thicknesses are implemented, and the imaging results validate the effectiveness of the proposed method. |
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ISSN: | 0888-3270 |
DOI: | 10.1016/j.ymssp.2024.111926 |