Title A tool to estimate the phase velocity dispersion of different Lamb wave modes using data sets of two signals measured at identical distances
Authors Draudvilienė, Lina ; Meškuotienė, Asta
DOI 10.1109/TIM.2025.3579845
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Is Part of IEEE Transactions on instrumentation and measurement.. Piscataway, NJ : IEEE. 2025, vol. 74, art. no. 6009209, p. 1-9.. ISSN 0018-9456. eISSN 1557-9662
Keywords [eng] accuracy ; asymmetric mode ; dispersion curves ; frequency ; Lamb waves ; phase velocity ; symmetric mode ; uncertainty ; zero-crossing method
Abstract [eng] This study introduces an approach for evaluating the phase velocity dispersion of the Lamb wave both A0 and S0 modes using only two signals measured at identical distances. To select two suitable measurement points, it is first necessary to calculate the maximum possible distance between the two signals. Once a packet of two signals has been received, to select the appropriate threshold level. Theoretical and experimental investigations are conducted using A0 and S0 mode signals at a 300 kHz frequency range propagating through an aluminium plate. Four pairs of signals for each A0 and S0 mode measured at the same distances are employed in the theoretical analysis. The calculated mean relative error consistently remained below 0.5 % in all cases. Similarly, six pairs of signals are used in the experimental study, and the relative error on average remained below 2 %. A comprehensive uncertainty analysis is conducted to assess the method's reliability. The study explored the impact of various error sources on velocity measurement parameters and discussed their significance for both A0 and S0 modes. The obtained mean relative errors of 1.7 % and 2 % for the A0 and S0 modes, respectively, along with extended uncertainties of ±2.6 % and ±3.2 % at a 95 % confidence level. The proposed tool is suitable for determining two suitable measurement points and estimating the phase velocity of both A0 and S0 modes of Lamb waves. This approach offers an advantage by eliminating the need for timeconsuming object scanning.
Published Piscataway, NJ : IEEE
Type Journal article
Language English
Publication date 2025
CC license CC license description