LASER VIBROMETRY BASED DETECTIONS OF DELAMINATIONS IN AEROSPACE COMPOSITES

摘要

The significant progress in sensing and dataprocessing technology has made monitoring anddamage detection of engineering structuresincreasingly attractive. This paper presents areliable in-situ damage detection technique,which is based upon dynamic analysis of acomposite structure using a bonded piezoceramicpatches as an actuators and a ScanningLaser Doppler Vibrometer as a sensor. Inaddition Neural Networks have been consideredto be a viable tool for handling the largenumber of data. A multilayer perceptron (MLP)neural networks, was trained and tested usingthe slope, the y-intercept of the linear fit of theroot mean square of the Frequency ResponseFunction (FRF_(rms)) and the Deviation of theFRF_(rms) of a candidate composite structure.