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17 May 2005 Wavelet-based built-in damage detection and identification for composites
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In this paper, a wavelet-based built-in damage detection and identification algorithm for carbon fiber reinforced polymer (CFRP) laminates is proposed. Lamb waves propagating in laminates are first modeled analytically using higher-order plate theory and compared them with experimental results in terms of group velocity. Distributed piezoelectric transducers are used to generate and monitor the fundamental ultrasonic Lamb waves in the laminates with narrowband frequencies. A signal processing scheme based on wavelet analysis is applied on the sensor signals to extract the group velocity of the wave propagating in the laminates. Combined with the theoretically computed wave velocity, a genetic algorithms (GA) optimization technique is employed to identify the location and size of the damage. The applicability of this proposed method to detect and size the damage is demonstrated by experimental studies on a composite plate with simulated delamination damages.
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G. Yan, Lily L. Zhou, and F. G. Yuan "Wavelet-based built-in damage detection and identification for composites", Proc. SPIE 5765, Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, (17 May 2005);

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