Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation

Dan-Hua ShangGuan; Wei-Hua Yan; Jun-Xia Wei; Zhi-Ming Gao; Yi-Bing Chen; Zhi-Cheng Ji

doi:10.1007/s41365-023-01202-6

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Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation

NUCLEAR ENERGY SCIENCE AND ENGINEERING | Updated：2023-06-07

- Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation
- Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation
- 核技术（英文版） 2023年34卷第4期文章编号：58
- Affiliations：
  
  1.Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
- Author bio：
  
  † sgji0906@qq.com
- Funds：
  
  CAEP Found(CX20200028);Youth Program of National Natural Science Foundation of China(11705011)
- DOI：10.1007/s41365-023-01202-6
  中图分类号：
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Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation[J]. 核技术（英文版）, 2023,34(4):58

Dan-Hua ShangGuan, Wei-Hua Yan, Jun-Xia Wei, et al. Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation[J]. Nuclear Science and Techniques, 2023,34(4):58
Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation[J]. 核技术（英文版）, 2023,34(4):58 DOI： 10.1007/s41365-023-01202-6.

Dan-Hua ShangGuan, Wei-Hua Yan, Jun-Xia Wei, et al. Sample size adaptive strategy for time-dependent Monte Carlo particle transport simulation[J]. Nuclear Science and Techniques, 2023,34(4):58 DOI： 10.1007/s41365-023-01202-6.

摘要

Abstract

When multiphysics coupling calculations contain time-dependent Monte Carlo particle transport simulations, these simulations often account for the largest part of the calculation time, which is insufferable in certain important cases. This study proposes an adaptive strategy for automatically adjusting the sample size to fulfil more reasonable simulations. This is realized based on an extension of the Shannon entropy concept and is essentially different from the popular methods in time-independent Monte Carlo particle transport simulations, such as controlling the sample size according to the relative error of a target tally or by experience. The results of the two models show that this strategy can yield almost similar results while significantly reducing the calculation time. Considering the efficiency, the sample size should not be increased blindly if the efficiency cannot be enhanced further. The strategy proposed herein satisfies this requirement.

关键词

Keywords

Time-dependent Monte Carlo particle transport simulationShannon entropyAdaptive strategy

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