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求解深穿透问题的能量偏倚减方差方法
引用本文:潘清泉,王侃. 求解深穿透问题的能量偏倚减方差方法[J]. 核动力工程, 2020, 41(1): 1-6. DOI: 10.13832/j.jnpe.2020.01.0001
作者姓名:潘清泉  王侃
作者单位:清华大学工程物理系
摘    要:采用堆用蒙特卡罗程序(RMC)进行反应堆屏蔽计算时,面临着深穿透的技术难题。通过分析中子在屏蔽层中的输运过程,证明了各能群的中子都满足穿透率守恒。在RMC中开发了基于穿透率守恒的自适应局部减方差方法,该方法可以快速计算出指数重要性函数和等梯度重要性函数,对中子的空间位置和能量值同时进行偏倚,高效地求解出深穿透区域的能谱分布。用工程常用的混凝土和水屏蔽层进行测试,计算结果证明:该方法可以高效地求解深穿透问题,提高RMC的计算效率。

关 键 词:能量偏倚  深穿透问题  堆用蒙特卡罗程序(RMC)  减方差方法

Energy Biased Variance Reduction Method for Deep Penetration Problems
Pan Qingquan,Wang Kan. Energy Biased Variance Reduction Method for Deep Penetration Problems[J]. Nuclear Power Engineering, 2020, 41(1): 1-6. DOI: 10.13832/j.jnpe.2020.01.0001
Authors:Pan Qingquan  Wang Kan
Affiliation:(Department of Engineering Physics,Tsinghua University,Beijing,100084,China)
Abstract:The deep penetration problems are encountered when RMC(Reactor Monte Carlo) code is used to perform shielding simulation. After analyzing the transport process of neutrons in the shielding layers, an adaptive variance reduction algorithm is proposed based on the conservation of penetration rate. With the exponential or equal-gradient importance map, the spatial position and the energy of neutrons are biased simultaneously. This new method is implemented by RMC code and obtains good results in deep penetration problems, and can fully improves the efficiency of RMC code for deep penetration problems.
Keywords:Energy biased  Deep penetration  RMC  Variance reduction
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