Abstract

Damage detection is an inevitable part of composite laminate product verification during both manufacture and maintenance inspections. The article presents a damage characterization method to detect and quantize the fatigue damage in composite laminates. The cross recurrence plot (CRP) of Lamb signal is introduced to assess the dynamic difference between the composite laminates in undamaged and damaged states. The cross recursive quantification analysis features derived from the CRPs are optimally selected and fused into a damage value (DV) based on the support vector data description model. Then, the DVs of diagnostic paths are integrated into a unified damage index for quantizing the fatigue damage of composite laminate subjected to the cyclic loading. The feasibility of the proposed method is validated by the simulation data acquired from the finite element models with different severity degrees of microcracking and the fatigue damage progressing data from NASA prognostics data repository.

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