Attenuation Analysis of Lamb Waves Using the Chirplet Transform

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  • Kerber, Florian
    • Other Affiliation: Institute of Mathematics and Computing Science, University of Groningen, 9700 AV Groningen, The Netherlands
  • Sprenger, Helge
    • Other Affiliation: Institute of Applied and Experimental Mechanics, University of Stuttgart, Pfaffenwaldring 9, 70569 Stuttgart, Germany
  • Niethammer, Marc
    • Affiliation: College of Arts and Sciences, Department of Computer Science
  • Luangvilai, Kritsakorn
    • Other Affiliation: School of Civil and Environmental Engineering and G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
  • Jacobs, LaurenceJ
    • Other Affiliation: School of Civil and Environmental Engineering and G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Abstract
  • Guided Lamb waves are commonly used in nondestructive evaluation to monitor plate-like structures or to characterize properties of composite or layered materials. However, the dispersive propagation and multimode excitability of Lamb waves complicate their analysis. Advanced signal processing techniques are therefore required to resolve both the time and frequency content of the time-domain wave signals. The chirplet transform (CT) has been introduced as a generalized time-frequency representation (TFR) incorporating more flexibility to adjust the window function to the group delay of the signal when compared to the more classical short-time Fourier transform (STFT). Exploiting this additional degree of freedom, this paper applies an adaptive algorithm based on the CT to calculate mode displacement ratios and attenuation of Lamb waves in elastic plate structures. The CT-based algorithm has a clear performance advantage when calculating mode displacement ratios and attenuation for numerically-simulated Lamb wave signals. For experimental data, the CT retains an advantage over the STFT although measurement noise and parameter uncertainties lead to larger overall deviations from the theoretically expected solutions.
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  • Article
Rights statement
  • In Copyright
Rights holder
  • Florian Kerber et al.; licensee BioMed Central Ltd.
Journal title
  • EURASIP Journal on Advances in Signal Processing
Journal volume
  • 2010
Journal issue
  • 1
Page start
  • 375171
Language
  • English
Is the article or chapter peer-reviewed?
  • Yes
ISSN
  • 1687-6180
Bibliographic citation
  • EURASIP Journal on Advances in Signal Processing. 2010 Jun 14;2010(1):375171
Publisher
  • Springer
Access right
  • Open Access
Date uploaded
  • August 23, 2012

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