The significant progress in sensing and data processing technology has made monitoring and damage detection of engineering structures increasingly attractive. This paper presents a reliable in-situ damage detection technique, which is based upon dynamic analysis of a composite structure using bonded piezo-ceramic patches as actuators and a Scanning Laser Doppler Vibrometer as a sensor. In addition, Neural Networks have been considered to be a viable tool for handling the large number of data. A multilayer perceptron (MLP) neural networks, was trained and tested using the slope, the y-intercept of the linear fit of the root mean square of the Frequency Response Function and the Deviation of the of a candidate composite structure.
Laser Vibrometry Based Detection of Delaminations in Glass/Epoxy Composites
Contributed by the Technical Committee on Vibration and Sound for publication in the JOURNAL OF VIBRATION AND ACOUSTICS. Manuscript received May 2002; Revised March 2003. Associate Editor: M. I. Friswell.
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Amraoui, M. Y., and Lieven, N. A. J. (July 30, 2004). "Laser Vibrometry Based Detection of Delaminations in Glass/Epoxy Composites ." ASME. J. Vib. Acoust. July 2004; 126(3): 430–437. https://doi.org/10.1115/1.1687390
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