Shearographic Detection of Delaminations in Sandwich Structures: Investigation on Various Excitation Modes

Kalogiannakis, Georgios; Sarens, Bart; Hemelrijck, Danny Van; Glorieux, Christ

doi:10.1007/978-1-4020-6239-1_179

Cited by 1 publication

(1 citation statement)

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“…Shearography is an interferometric full-field measurement and visualization technique which can be used for damage identification. It is already widely used to qualitatively visualise delaminations, such as in the study by Kalogiannakis et al [16]. Another example of qualitative application is the comparison of infrared thermography to shearography, to visualise the heat-induced deformation in concrete bonded to FRP, performed by Lai et al [17].…”

Section: Introductionmentioning

confidence: 99%

Local bending stiffness identification of beams using simultaneous Fourier-series fitting and shearography

Zastavnik

Pintelon

Kersemans

et al. 2019

Journal of Sound and Vibration

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In this paper, we present a novel method for the identification of the local bending stiffness of a beam. We use shearography to capture measurements of vibrating beams, so the input data for the identification is the modal slope-the differential of the modal shape. The modal slope is fitted by two Fourier-series functions, one of which is derived from a thin-beam model. The local bending stiffness is identified as the one corresponding with the best match between the measured and the two fitted modal slopes. This identification method, which we call simultaneous Fourier-series fitting, is demonstrated on numerically-generated inputs, as well as on experimental measurements. We use a flat, concave and convex beam, as well as beams with locally varying bending stiffness mimicking local damage to verify the method. It is shown that the method gives accurate results and is robust to noise. Additionally, it has advantageous properties that make it useful and practical: using this method, it is possible to perform the identification from only a sub-region of a beam and even without specifying the boundary conditions.

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Section: Introductionmentioning

confidence: 99%