Damage Localization and Imaging of Composite Materials Based on Sparse Reconstruction Using Lamb Wave Anisotropy Propagation Model

Abstract

AbstractIn order to solve the anisotropy problem of composite materials on the impact of damage localization, a sparse reconstruction imaging method based on Lamb wave anisotropy propagation model is proposed in this paper. In this approach, the spatially distributed array of fixed PZTs sensor on the surface of the measured composite materials is employed to excite and receive Lamb wave. The received signal shows sparse under a pre-built damage dictionary with anisotropy propagation model, and the damages can be localized and imaged using a sparse reconstruction method. When constructing Lamb simulation signal waveform with Lamb wave linear propagation model, the Lamb wave propagation direction is divided evenly into several sectors, and Lamb wave propagation direction within a certain sector is considered as propagation in a quasi-isotropic material to resolve the anisotropy of composite materials. The experiments on composite fiber laminate specimens show that the proposed method can accurately locate simulated single delamination damage and has less artifact interference compared to the DAS method.KeywordsLamb waveDamage localizationSparse reconstructionComposite fiber laminate