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Model-assisted Assessment of Damage Detection and Localization using Guided Wave-based Imaging Techniques

JÉRÉMY MORIOT, NICOLAS QUAEGEBEUR, ALAIN LE DUFF, PATRICE MASSON

Abstract


In this paper, a model-assisted approach is proposed for assessing the ability of guided wave (GW)-based Structural Health Monitoring (SHM) imaging techniques to detect and localize a damage on a structure. A damage identification metric (DIM) is determined from the damage index (DI) image produced by the SHM system when a damage is present on the structure. Several damage sizes and positions are considered, thus producing various values of the DIM. The probability of detection (POD) curve is then calculated using the â vs. a approach well established in the nondestructive testing (NDT) community. For assessing the localization performance of the system, the probability of localization (POL) curve is derived from the ratio of defects correctly localized to the total number of defects, based on the calculation of the absolute error of localization (AEL). The approach is applied for assessing the performance of an actual SHM system composed of three piezoelectric actuators bonded on an aluminum plate. A good agreement is observed between POD and POL curves obtained experimentally and using a finite element model (FEM) of the system. The model-assisted approach is finally used to predict the performance of the system assuming a variation of temperature between the baseline acquisition and the detection test.

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