复合材料科学与工程Issue(5)：114-120,128,8.DOI:10.19936/j.cnki.2096-8000.20240528.016
基于Lamb波和改进贝叶斯融合算法的CFRP边缘分层损伤分析
Analysis of edge delamination damage of CFRP based on Lamb wave and improved Bayesian fusion algorithm
吕伟 1文学 1付为刚 2唐靖昆1
作者信息
- 1. 中国民用航空飞行学院 航空电子电气学院,广汉 618303
- 2. 中国民用航空飞行学院 航空工程学院,广汉 618303
- 折叠
摘要
Abstract
Bayesian fusion method has good positioning results on damage of CFRP,but there will be obvious positioning errors in the sensor network edge area.In order to solve the problem that the original algorithm is inaccu-rate in the layered damage localization of the sensor network edge,firstly,the localization effect of Bayesian fusion algorithm composed of two different damage factors on damage of CFRP is analyzed in this paper,and the feasibility of Bayesian fusion algorithm formed by ToF damage factor on the damage localization and accurate for the edge layereddamage localization are verified.Then,on the basis of the probabilistic imaging algorithm formed by the dam-age factor DI,the linear weight is replaced by the exponential weight with faster attenuation,and the improved probabilistic imaging algorithm is re-substituted into the algorithm framed by Bayesian to form a new Bayesian fusion algorithm.The results show that compared with the existing fusion reconstruction algorithm,the improved fusion re-construction algorithm reduces the error by at least 58%,and the positioning error is not more than 5 mm.关键词
贝叶斯融合/碳纤维复合材料/损伤因子/指数权重/边缘分层损伤/定位精度Key words
Bayesian fusion/CFRP/damage factor/exponential weight/edge layered damage/positioning ac-curacy分类
通用工业技术引用本文复制引用
吕伟,文学,付为刚,唐靖昆..基于Lamb波和改进贝叶斯融合算法的CFRP边缘分层损伤分析[J].复合材料科学与工程,2024,(5):114-120,128,8.
