Volume 45 Issue 11
Nov.  2019
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FAN Wenru, WANG Bo, LI Jingyao, et al. Damage detection of CFRP structure based on electrical impedance tomography[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(11): 2177-2183. doi: 10.13700/j.bh.1001-5965.2019.0149(in Chinese)
Citation: FAN Wenru, WANG Bo, LI Jingyao, et al. Damage detection of CFRP structure based on electrical impedance tomography[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(11): 2177-2183. doi: 10.13700/j.bh.1001-5965.2019.0149(in Chinese)

Damage detection of CFRP structure based on electrical impedance tomography

doi: 10.13700/j.bh.1001-5965.2019.0149
Funds:

National Natural Science Foundation of China 61301244

the Fundamental Research Funds for the Central Universities 3122016A010

More Information
  • Corresponding author: FAN Wenru.E-mail:wenrufan@hotmail.com
  • Received Date: 03 Apr 2019
  • Accepted Date: 01 Jun 2019
  • Publish Date: 20 Nov 2019
  • 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.

     

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