Damage evaluation in smart materials using time-frequency analysis

Liew, Chin Kian and Veidt, Martin (2011). Damage evaluation in smart materials using time-frequency analysis. In: Zhongning Guo, Proceedings of ADME 2011. 2011 International Conference on Advanced Design and Manufacturing Engineering, ADME 2011, Guangzhou, China, (2299-2306). 16 -18 September 2011. doi:10.4028/www.scientific.net/AMR.311-313.2299

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Author Liew, Chin Kian
Veidt, Martin
Title of paper Damage evaluation in smart materials using time-frequency analysis
Conference name 2011 International Conference on Advanced Design and Manufacturing Engineering, ADME 2011
Conference location Guangzhou, China
Conference dates 16 -18 September 2011
Proceedings title Proceedings of ADME 2011   Check publisher's open access policy
Journal name Advanced Materials Research   Check publisher's open access policy
Place of Publication Stafa-Zurich, Switzerland
Publisher Trans Tech Publications
Publication Year 2011
Sub-type Fully published paper
DOI 10.4028/www.scientific.net/AMR.311-313.2299
ISBN 9783037852149
ISSN 1022-6680
Editor Zhongning Guo
Volume 311-313
Start page 2299
End page 2306
Total pages 6
Language eng
Abstract/Summary An approach to identify damages in materials particularly aerospace composites has been developed based on application of wavelet analysis on guided wave transient signals. The wave response was convoluted against a suitable wavelet to present information in the time-frequency domain for baseline comparison of signals. By evaluating the time-frequency conditional moment, sensitive indices were computed to identify the presence of damage. Normalisation of these indices was found to be an important procedure to reduce measurement discrepancies from baseline comparison. Extending this further was the correlation of these parameters to pulse propagation time from actuator to sensor positions to generate a tomographic representation of the damage in the scanned material. These damage evaluation processes were investigated in an ultrasonic health monitoring system inspecting carbon fibre reinforced composite panels with simulated delamination. The imaging results displayed positive damage characterisation capabilities for implementation within the methodology of smart or intelligent materials.
Keyword Computed tomography
Guided wave ultrasonics
Nondestructive evaluation
Structural health monitoring
Wavelet analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Issue title: Advanced Materials and Processes

 
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Created: Wed, 29 Feb 2012, 00:41:21 EST by Mr Edmund Liew on behalf of School of Mechanical and Mining Engineering