Composite Laminates Damage Detection Based on Basis Pursuit Denoising Algorithm

When Lamb waves propagates in composite laminates, the direction-dependent property parameters of the composite laminates lead to different propagation velocities, which is known as the anisotropy nature. It makes the problem of damage detection more difficult. A sparse reconstruction based damage imaging method considering the anisotropy nature of composite laminates is presented in this paper. A propagation model of Lamb waves considering the propagation directions is introduced to build a wavefield dictionary. Then the problem of damage detection is formulated as a sparse reconstruction problem, which can be solved by basis pursuit denoising algorithm. Finally, experiments with simulated damages are performed and the results validate the effectiveness of the method.