Abstract
The present paper proposes a novel non-destructive testing procedure based on the exploitation of the simultaneous time and spatial sampling provided by Continuous Scanning Laser Doppler Vibrometry (CSLDV) and the feature extraction capabilities of wavelet-based processing. Two criteria for selecting in an objective way the mother-wavelet to be used in the decomposition procedure, the Relative Wavelet Energy and Energy to Shannon Entropy Ratio, are compared in terms of capability of best locating the damage. The paper demonstrates the applicability of the procedure for the identification of superficial and in-depth defects in simulated and real test cases when an area scan is performed over the test sample. The method shows promising results, since defects are identified in different severity conditions.
Highlights
Scientists and engineers all around the world have always been interested in damage detection and location since this is a natural step for a proper condition assessment of structures
Continuous Scanning Laser Doppler Vibrometry (CSLDV)-Wavelet based Damage Detection Procedure This paper presents a methodology for jointly exploiting CSLDV and wavelet-processing for defect identification
The paper presented and discussed an evolution of a damage detection approach, which was already presented by the authors, based on CSLDV and wavelet-processing
Summary
Scientists and engineers all around the world have always been interested in damage detection and location since this is a natural step for a proper condition assessment of structures. Vibrometry implies the measurement of several vibration points distributed all over the surface This makes the efficiency of the wavelet processing in extracting the damage information (either from the modal curvature or from a discontinuity in the mode shape) strongly dependent on the dimension of the damage with respect to the spatial sampling used in the experiment. Wavelet selection by RWE (a) and ESER (b) criteria (b) Figure 8 Damage Detection method on an undamaged plate: wavelet selection by RWE (a) and ESER (b) criteria The proposed approach is able to identify correctly the cracks in different severity scenarios. No samples are identified above the threshold and no damage is located on the plate
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