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Proceedings Paper

Novel approximate waveform capacity dimension for damage identification of beam-type structures
Author(s): Pizhong Qiao; Maosen Cao
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Paper Abstract

Fractal as a novel mathematical tool has a great potential to deal with transit events in a complex waveform. In this paper, fractal is introduced to detect irregularity of vibration mode shapes without using a baseline requirement. Different from the popular Katz's waveform fractal dimension (KWD), a novel approximate waveform capacity dimension (AWCD) specialized in irregularity detection in vibration mode shapes is introduced, from which an AWCD-based modal abnormality algorithm (AWCD-MAA) is established. The fundamental characteristics of AWCD-MAA, such as crack location identification and size quantification, are investigated using an analytical crack model of cantilever beams. An experimental modal shape evaluation of a cracked composite cantilever beam using smart piezoelectric sensors/actuators (i.e., Piezoelectric lead-zirconate-titanate (PZT) and polyvinylidene fluoride (PVDF)) is conducted to confirm the feasibility of the proposed algorithm. The proposed AWCD-MAA is capable of locating and quantifying the crack in a beam-type structure without prior requirement of baseline reference data.

Paper Details

Date Published: 8 April 2008
PDF: 10 pages
Proc. SPIE 6934, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2008, 69340A (8 April 2008); doi: 10.1117/12.775613
Show Author Affiliations
Pizhong Qiao, Washington State Univ. (United States)
Maosen Cao, 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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