Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
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Integrated risk assessment method for spent fuel road transportation accident under complex environment

  • Tao, Longlong (Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences) ;
  • Chen, Liwei (Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences) ;
  • Long, Pengcheng (Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences) ;
  • Chen, Chunhua (Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences) ;
  • Wang, Jin (Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences)
  • Received : 2020.03.04
  • Accepted : 2020.09.28
  • Published : 2021.02.25
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Abstract

Current risk assessment of Spent Nuclear Fuel (SNF) transportation has the problem of the incomplete risk factors consideration and the general particle diffusion model utilization. In this paper, the accident frequency calculation and the detailed simulation of the accident consequences are coupled by the integrated risk assessment method. The "man-machine-environment" three-dimensional comprehensive risk indicator system is established and quantified to characterize the frequency of the transportation accidents. Consideration of vegetation, building and turbulence effect, the standard k-ε model is updated to simulate radioactive consequence of leakage accidents under complex terrain. The developed method is applied to assess the risk of the leakage accident in the scene of the typical domestic SNF Road Transportation (SNFRT). The critical risk factors and their impacts on the dispersion of the radionuclide are obtained.

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Acknowledgement

This work was supported by the Informatization Project of Chinese Academy of Sciences (XXH13506-104), the project of Hefei Institutes of Physical Science of Chinese Academy of Sciences (KP-2019-13), the Special Project of Youth Innovation Promotion Association of Chinese Academy of Sciences and the Natural Science Foundation of the Anhui Higher Education Institutions of China (KJ2020A0110). In addition, the authors would like to show their great appreciation to other members of FDS Team for supports to this research.

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