An improved method of damage localization of composites based on Bayesian frames and Lamb waves
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维普
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研究了一种改进的在贝叶斯框架下将椭圆轨迹法与概率成像法进行概率集成的重构算法,通过研究Lamb波在复合材料层合板上的传播特性,对重构算法进行改进,解决了原有算法对于传感器网络边缘的分层损伤定位不准确的问题.本研究还以曲面复合材料层合板为例,进行了几种不同分层损伤工况下的有限元分析,提出了权重系数β,为该方法应用在曲面复合材料层合板上提供了可靠的解决方法.结果表明,改进的重构算法可以实现对传感器网络边缘分层损伤和曲面复合材料板分层损伤的精准定位,定位的绝对误差小于1 cm.
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.
维普
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