Damage degree prediction method of CFRP structure based on fiber Bragg grating and epsilon-support vector regression

作     者：Lu, Shizeng Jiang, Mingshun Wang, Xiaohong Yu, Hongliang Su, Chenhui 

作者机构：Univ Jinan Sch Elect Engn Jinan 250022 Shandong Peoples R China Shandong Univ Sch Control Sci & Engn Jinan 250061 Shandong Peoples R China 

出 版 物：《OPTIK》 (光学)

年 卷 期：2019年第180卷

页      面：244-253页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：National Natural Science Foundation of China [61803179, 41472260] Shandong Provincial Natural Science Foundation, China [ZR20178F007] Young Scholars Program of Shandong University, China [2016WLJH30] 

主　　题：Damage degree prediction Carbon fiber reinforced plastics Frequency response RReliefF Epsilon-support vector regression 

摘      要：The assessment of structural damage is of great significance for ensuring the service safety of carbon fiber reinforced plastics (CFRP) structures. In this paper, the damage degree prediction method of CFRP structure based on fiber Bragg grating and epsilon-support vector regression was studied. The structural dynamic response signals were detected by fiber Bragg grating sensors. Then, the Fourier transform was used to extract the dynamic characteristics of the structure as the damage feature, and the damage feature dimensionality was reduced by using the RReliefF algorithm. On this basis, the damage degree prediction model of CFRP structure based on epsilon support vector regression was established. Finally, the method proposed in this paper was experimentally verified. The results showed that the epsilon-support vector regression model can accurately predict the damage degree of unknown samples, and the absolute relative error of 27 experiments was less than 10% for 30 testing experiments. This paper provided a feasible method for predicting the damage degree of CFRP structures.