Volume 30 Issue 2
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Article Navigation >  High Power Laser and Particle Beams  > 2018  >  30(2): 026004
Peng Chao, Lei Zhifeng, Zhang Zhangang, et al. Measurement and simulation of terrestrial atmospheric neutron spectrum in typical regions of China[J]. High Power Laser and Particle Beams, 2023, 35: 059001. doi: 10.11884/HPLPB202335.220353
Citation: Zheng Zheng, Ding Qianxue, Zhou Yan. Variance reduction method based on adjoint discrete ordinate[J]. High Power Laser and Particle Beams, 2018, 30: 026004. doi: 10.11884/HPLPB201830.170223
shu

Variance reduction method based on adjoint discrete ordinate

doi: 10.11884/HPLPB201830.170223

  • Shanghai Nuclear Engineering Research and Design Institute Ltd Co, Shanghai 200233, China

  • Received Date: 2017-06-20
  • Rev Recd Date: 2017-08-20
  • Publish Date: 2018-02-15
    Abstract
  • For deep-penetration shielding calculation, Monte Carlo method (MC method) requires modeling a great number of particles to obtain reliable results, thus huge computation time is the main problem of the MC method. Source biasing and weight window technique effectively decrease the tally error of deep penetration problem. This paper studies the variance reduction (VR) method based on adjoint Discrete Ordinate (SN), generates source biasing factors and weight window parameters for the MC method by using the adjoint fluence rates of the SN method, and develops source sampling subroutine for JMCT. The VR method was verified at phaseⅠ of Qinshan Nuclear Power Plant measurements. It was applied to CAP1400 pressure vessel fast neutron fluence rate and cavity neutron and photon dose rate calculations. Numerical results show that the VR method based on SN increases calculation efficiency by 1~2 orders for deep-penetration shielding calculation with high precision compared with unbiased MC method.
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    • References(9)
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