Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Health monitoring of carbon fiber-reinforced polymer composites in γ-radiation environment using embedded fiber Bragg grating sensors

  • Jing Zhong (Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics) ;
  • Feida Chen (Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics) ;
  • Yuehao Rui (Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics) ;
  • Yong Li (College of Materials Science and Technology, Nanjing University of Aeronautics and Astronautics) ;
  • Xiaobin Tang (Department of Nuclear Science and Technology, Nanjing University of Aeronautics and Astronautics)
  • Received : 2022.05.27
  • Accepted : 2023.04.18
  • Published : 2023.08.25
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Abstract

Fiber-reinforced polymer (FRP) composites are considered suitable candidates for structural materials of spacecrafts due to their excellent properties of high strength, light weight, and corrosion resistance. An online health monitoring method for FRP composites must be applied to space structures. However, the application of existing health monitoring methods to space structures is limited due to the harsh space environment. Here, carbon fiber-reinforced polymer (CFRP) composites embedded with fiber Bragg grating (FBG) sensors were prepared to explore the feasibility of strain monitoring using embedded FBG sensors in γ-radiation environment. The analysis of the influence of radiation on the strain monitoring demonstrated that the embedded FBG can be successfully applied to the health monitoring of FRP composites in radiation environment.

Keywords

Acknowledgement

The authors would like to thank Hongquan Liu, Jiaqi Shi, and Yifan Yang of Nanjing University of Aeronautics and Astronautics for the help in materials preparation. In addition, this work was supported by Postdoctoral Research Foundation of China (Grant No.2020M671488), the Fundamental Research Funds for the Central Universities (Grant No. NS2021036), and Postgraduate Research & Practice Innovation Program of NUAA (Grant No. xcxjh20210622).

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