An improved method of damage localization of composites based on Bayesian frames and Lamb waves
In this paper,an improved reconstruction algorithm that integrates the elliptical trajectory meth-od and the probabilistic imaging method under the Bayesian framework is studied,and the reconstruction algorithm is improved by studying the propagation characteristics of lamb waves on the composite laminate,which solves the problem that the original algorithm is inaccurate in the positioning of hierarchical damage at the edge of the sensor network.In this paper,the finite element analysis under several different layering damage conditions is carried out by taking the curved composite laminate as an example,and the weight coefficient is proposed to provide a reliable solution for the application of the method on the curved com-posite laminate.The results show that the improved reconstruction algorithm can achieve accurate positio-ning of layered damage at the edge of the sensor network and layered damage of curved composite plates,and the absolute error of positioning is less than 1 cm.