Damage detection of CFRP structure based on electricalimpedance tomography

被引:0
|
作者
Fan W. [1 ]
Wang B. [1 ]
Li J. [1 ]
Zhou C. [1 ]
机构
[1] School of Electronic Information and Automation, Civil Aviation University of China, Tianjin
基金
中国国家自然科学基金;
关键词
Anisotropy; Carbon fiber reinforced polymer (CFRP); Electrical impedance tomography (EIT); Sparse regularization; Structural damage detection;
D O I
10.13700/j.bh.1001-5965.2019.0149
中图分类号
学科分类号
摘要
Electrical impedance tomography (EIT) is an emerging method for evaluating the structural state of carbon fiber reinforced polymer (CFRP). In this paper, the structural damage detection ability of EIT is studied by applying EIT technology to commercial anisotropic CFRP laminated plates. Some damage models of CFRP are established by COMSOL software, and the spatial potential distribution information of three-dimensional field is obtained by finite element analysis. In order to improve the image reconstruction effect of EIT technology on the damage of anisotropic CFRP structure, the embedded electrodes are used to collect the internal electrical signals of the material effectively, and a modified image reconstruction algorithm based on L1 sparse regularization is proposed. In addition, a set of embedded 16-electrode EIT hardware system based on digital multimeter is established. The damage of simple CFRP is detected by EIT system detection platform. The results show that the image reconstruction effect of damaged materials is good, which proves the feasibility of EIT method in damage detection of CFRP structures. © 2019, Editorial Board of JBUAA. All right reserved.
引用
收藏
页码:2177 / 2183
页数:6
相关论文
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