Imaging Laminar Damage in Plates Using Lamb Wave Beamforming

Abstract

This paper presents the application of Lamb waves to detect and locate laminar damages using a beam forming imaging methodology. Beam forming is using a network of transducers that are used to sequentially scan the structure before and after the presence of damage by transmitting and receiving guided wave pulses. An image of the damage is reconstructed by analysing the cross correlation of the scatter signal with the excitation pulse and enables the detection and location of potential damage areas. The results of simulation and experimental studies show that the method enables the reliable detection of structural damages with locating inaccuracies in the order of a few millimeters within inspection areas of 300 x 300 mm2 using a transducer network of only four transducer elements.

On Accuracy of Analytical Modeling of Lamb Wave Scattering at Delaminations in Multilayered Isotropic Plates

“…The use of Lamb waves in non-destructive evaluation (NDE) has attracted considerable attention in the last decade [1][2][3][4] . A variety of research has been conducted in an effort to improve the understanding of Lamb wave propagation and scattering at defects [5][6][7][8][9][10][11][12] , and to develop innovative techniques for safety inspection of layered materials, such as adhesive and diffusion bonded isotropic plates [13][14][15] and composite laminates 16,17 .…”

Nonlinear vibro-ultrasonics for detection of damage and weak bonds in composites

“…Beamforming principle (Ng and Veidt, 2009), and (b) example beamforming image (Veidt et al, 2008). White squares are sensors, pink circle at centre of red area is a through-hole defect.…”

Guided wave-based identification of multiple cracks in beams using a Bayesian approach

“…For example, numerous advance damage detection techniques, such as damage imaging [11] [12], maximum-likelihood estimation [13], diffraction tomography [14] [15], phased-array beamforming [16], model based approach [17] [18] and the Bayesian interface [19] [20] were developed for plate-like structures. In contrast, most GW based damage detection techniques for 1D waveguides were limited in identifying the existence and location of damage [21].…”