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Proceedings Paper

Damage detection of laminated composite beams with progressive wavelet transforms
Author(s): Maosen Cao; Pizhong Qiao
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Paper Abstract

In this study, a newly-developed technique, so-called "integrated wavelet transform (IWT)", is applied to damage detection of laminated composite beams. The novel IWT technique combines advantages of stationary wavelet transform (SWT) and continuous wavelet transform (CWT) to improve the robustness of wavelet-based modal analysis in damage detection. Two progressive wavelet analysis steps are considered, in which the SWT-based multi-resolution analysis (MRA) is first employed to refine the retrieved mode shapes, followed by the CWT-based multiscale analysis (MSA) to magnify the effect of slight abnormality. The SWT-MRA is utilized to eliminate random noise and regular interferences, separate multiple component signal, and thus extract purer damage information; while the CWT-MSA is employed to smoothen, differentiate or suppress polynomial of mode shapes to magnify the effect of abnormality. The effectiveness of IWT in damage detection is illustrated using the vibration mode shape data acquired from the experimental testing of a cantilever laminated composite beam with a through-width crack. As demonstrated in the successful detection of a crack in composite beams, the progressive wavelet transform analysis using IWT provides a robust and viable technique to identify minor damage in a relatively lower signal-to-noise ratio environment.

Paper Details

Date Published: 27 March 2008
PDF: 9 pages
Proc. SPIE 6934, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2008, 693402 (27 March 2008); doi: 10.1117/12.775606
Show Author Affiliations
Maosen Cao, Washington State Univ. (United States)
Pizhong Qiao, Washington State Univ. (United States)


Published in SPIE Proceedings Vol. 6934:
Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2008
Peter J. Shull; H. Felix Wu; Aaron A. Diaz; Dietmar W. Vogel, Editor(s)

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