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

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

机构地区：[1]Institute of Applied Physics and Computational Mathematics,Beijing 100094,China

出　　处：《Nuclear Science and Techniques》2023年第4期127-134,共8页核技术（英文）

基　　金：supported by the CAEP Found (No.CX20200028);Youth Program of National Natural Science Foundation of China (No.11705011).

摘　　要：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 timeindependent 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：Time-dependent Monte Carlo particle transport simulation Shannon entropy Adaptive strategy 

分 类 号：O35[理学—流体力学]