Application and comparison of global variance reduction methods employed in Monte Carlo neutron transport for CFETR

Xingchen NIE; Jia LI; Pinghui ZHAO; Qingjun ZHU

doi:10.11889/j.0253-3219.2016.hjs.39.030501

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Application and comparison of global variance reduction methods employed in Monte Carlo neutron transport for CFETR

更新时间：2021-05-24

- Application and comparison of global variance reduction methods employed in Monte Carlo neutron transport for CFETR
- NUCLEAR TECHNIQUES Vol. 39, Issue 3, Article number: 030501(2016)
- 作者机构：
  
  1.中国科学技术大学核科学技术学院合肥 230027;
  2.中国科学院等离子体物理研究所合肥 230031
- 作者简介：
- 基金信息：
- DOI：10.11889/j.0253-3219.2016.hjs.39.030501
  CLC： TL62
- Received：22 October 2015，
  
  Accepted：2015-12-24，
  
  Published：25 January 2016
- 稿件说明：
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Xingchen NIE, Jia LI, Pinghui ZHAO, et al. Application and comparison of global variance reduction methods employed in Monte Carlo neutron transport for CFETR[J]. Nuclear techniques, 2016, 39(3): 030501
DOI：

Xingchen NIE, Jia LI, Pinghui ZHAO, et al. Application and comparison of global variance reduction methods employed in Monte Carlo neutron transport for CFETR[J]. Nuclear techniques, 2016, 39(3): 030501 DOI： 10.11889/j.0253-3219.2016.hjs.39.030501.

摘要

在具有全局特性的蒙特卡罗输运精细计算的问题中

传统的MCNP (Monte Carlo N Particle TransportCode)局部减方差方法很难得到理想的计算结果

全局减方差方法(Global Variance Reduction

GVR)则是一种有效的解决方法。针对中国聚变工程试验反应堆(Chinese Fusion Engineering Testing Reactor

CFETR)的中子输运过程中减小全局方差的问题

将多种形式的GVR方法应用到柱状CFETR中子学模型的计算中。依据不同的中子分布信息

在算例中应用和对比了6种不同形式的GVR权窗

并对不同GVR方法的品质因子(FOM

)、标准差(

)和有效计数率(Scoring)进行了分析。与AN (MCNP analog method)相比

GVR方法的FOM

有很大的增长

误差在空间的分布也更加平缓

且具有更高的Scoring。在前人提出的全局减方差的基础上

在计算中应用一些新的GVR形式(能量、径迹数等)

计算结果表明

基于中子通量的GVR方法的全局计算效率较AN提高了6.43倍。此外

基于中子能量的全局减方差方法也是一种可行的GVR应用形式

其与AN比较

计算效率提高了5.11倍。综上

基于中子通量的GVR方法具有最佳的全局减方差效果。

Abstract

Background:

For the detailed Monte Carlo radiation transport

which possesses global characteristics

traditional MCNP Localized Variance Reduction (LVR) methods can hardly perform well. Global Variance Reduction (GVR) method is an effective way.

Purpose:

This study aims to decrease the global variance of Monte Carlo radiation transport calculations for Chinese Fusion Engineering Testing Reactor (CFETR).

Methods:

According to different information of neutron distribution

six kinds of GVR methods were implied and compared in a cylinder CFETR neutronics model. Global figure of merit (FOM

)

standard deviation (

) and the percentage of scoring were analyzed. Based on predecessors' research

other kinds of new GVR methods (energy

tracks) were applied in this calculation.

Results:

In the point of GVR methods

FOM

increased dramatically

spatial variation in relative errors was more gradual

and the scoring was higher

compared with AN. The GVR method based on neutron flux achieved the global calculation efficiency of 6.43 times that of AN. Apart from that

the GVR method based on neutron energy can also be a practical GVR kind

achieving the global calculation efficiency of 5.11 times that of AN.

Conclusion:

The GVR method based on neutron flux can performed best that has a well function of global variance reduction

achieving the global calculation efficiency.

关键词

Keywords

references

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Naish J , Fox F , Ghani Z , . Radiation mapping at JET and ITER using advanced computational acceleration techniques and tools . Nuclear Technology , 2015 . 192 299 - 307 .

Cooper M A , Larsen E W . Automated weight windows for global Monte Carlo particle transport calculations . Nuclear Science and Engineering , 2001 . 137 1 - 13 .

Booth , Thomas E . MCNP variance reduction examples . LA-UR-12 25907 (2012), Los Alamos National Laboratory , 2004 .

李长楷 , 汤晓斌 , 岳爱忠 . 深贯穿问题脉冲高度计数减方差技巧 . 核技术 , 2015 . 38 ( 3 ): 030501 .

LI Changkai , TANG Xiaobin , YUE Aizhong . Pulse-height tally variance reduction in deep penetration problem . Nuclear Techniques , 2015 . 38 ( 3 ): 030501 .

许海燕 , 黄正丰 , 蔡少辉 . 蒙特卡罗中子输运问题的全局降方差方法 . 计算物理 , 2010 . 27 ( 5 ): 722 - 732 .

XU Haiyan , HUANG Zhengfeng , CAI Shaohui . Global variance reduction method for Monte Carlo particle transport problems . Journal of Computational Physics , 2010 . 27 ( 5 ): 722 - 732 .

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