Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Radiation shielding optimization design research based on bare-bones particle swarm optimization algorithm

  • Jichong Lei (School of Nuclear Science and Technology, University of South China) ;
  • Chao Yang (School of Nuclear Science and Technology, University of South China) ;
  • Huajian Zhang (School of Nuclear Science and Technology, University of South China) ;
  • Chengwei Liu (School of Nuclear Science and Technology, University of South China) ;
  • Dapeng Yan (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China) ;
  • Guanfei Xiao (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China) ;
  • Zhen He (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China) ;
  • Zhenping Chen (School of Nuclear Science and Technology, University of South China) ;
  • Tao Yu (School of Nuclear Science and Technology, University of South China)
  • Received : 2022.05.15
  • Accepted : 2023.02.13
  • Published : 2023.06.25
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Abstract

In order to further meet the requirements of weight, volume, and dose minimization for new nuclear energy devices, the bare-bones multi-objective particle swarm optimization algorithm is used to automatically and iteratively optimize the design parameters of radiation shielding system material, thickness, and structure. The radiation shielding optimization program based on the bare-bones particle swarm optimization algorithm is developed and coupled into the reactor radiation shielding multi-objective intelligent optimization platform, and the code is verified by using the Savannah benchmark model. The material type and thickness of Savannah model were optimized by using the BBMOPSO algorithm to call the dose calculation code, the integrated optimized data showed that the weight decreased by 78.77%, the volume decreased by 23.10% and the dose rate decreased by 72.41% compared with the initial solution. The results show that the method can get the best radiation shielding solution that meets a lot of different goals. This shows that the method is both effective and feasible, and it makes up for the lack of manual optimization.

Keywords

Acknowledgement

We thank all the teachers and students in the NEAL group of the School of Nuclear Science and Technology of USC for their guidance for their help. This work is supported by the National Natural Science Foundation of China (no.12175101 and 12105136), the Natural Science Foundation of Hunan province (no. 2022JJ30481 and 2021JJ40449), the Science and Technology Innovation Project of Hengyang (no.202250045336) and Postgraduate Scientific Research Innovation Project (CX20220970) for their funding.

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