Photonic Sensors

, Volume 8, Issue 2, pp 168–175 | Cite as

Research on FBG-Based CFRP Structural Damage Identification Using BP Neural Network

  • Xiangyi Geng
  • Shizeng Lu
  • Mingshun Jiang
  • Qingmei Sui
  • Shanshan Lv
  • Hang Xiao
  • Yuxi Jia
  • Lei Jia
Open Access


A damage identification system of carbon fiber reinforced plastics (CFRP) structures is investigated using fiber Bragg grating (FBG) sensors and back propagation (BP) neural network. FBG sensors are applied to construct the sensing network to detect the structural dynamic response signals generated by active actuation. The damage identification model is built based on the BP neural network. The dynamic signal characteristics extracted by the Fourier transform are the inputs, and the damage states are the outputs of the model. Besides, damages are simulated by placing lumped masses with different weights instead of inducing real damages, which is confirmed to be feasible by finite element analysis (FEA). At last, the damage identification system is verified on a CFRP plate with 300 mm × 300 mm experimental area, with the accurate identification of varied damage states. The system provides a practical way for CFRP structural damage identification.


Carbon fiber reinforced polymer damage identification FBG sensors neural network finite element analysis 



This work was supported by the National Natural Science Foundation of China under Grant Nos. 41472260 and 51373090, the Natural Science Foundation of Shandong Province, China under Grant Nos. 2014ZRE27372 and ZR2017BF007, the Fundamental research funds of Shandong University, China under Grant No. 2016JC012, and the Young Scholars Program of Shandong University 2016WLJH30.


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© The Author(s) 2018

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  • Xiangyi Geng
    • 1
  • Shizeng Lu
    • 2
  • Mingshun Jiang
    • 1
  • Qingmei Sui
    • 1
  • Shanshan Lv
    • 1
  • Hang Xiao
    • 1
  • Yuxi Jia
    • 3
  • Lei Jia
    • 1
  1. 1.School of Control Science and EngineeringShandong UniversityJinanChina
  2. 2.School of Electrical EngineeringUniversity of JinanJinanChina
  3. 3.Key Laboratory for Liquid-Solid Structural Evolution & Processing of Materials (Ministry of Education)Shandong UniversityJinanChina

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