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Multi-level coarse mesh finite difference acceleration with local two-node nodal expansion method

机译:局部两节点节点展开法的多级粗糙网格有限差分加速

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摘要

A computationally efficient and effective multi-level coarse mesh finite difference (CMFD) acceleration is proposed using the local two-node nodal expansion method for solving the three-dimensional multi group neutron diffusion equation. The multi-level CMFD acceleration method consists of two essential features: (1) a new one-group (1G) CMFD linear system is established by using cross sections, flux and current information from the multi-group (MG) CMFD to accelerate the MG CMFD calculation, (2) an adaptive Wielandt shift method is proposed to accelerate the inverse power iteration of 1G CMFD in order to provide an accurate estimate of the eigenvalue at the beginning of the iteration for both 1G and MG CMFD linear system. Additionally, a nodal discontinuity factor and a diffusion coefficient correction factor are defined to achieve equivalence of the 1G and MG CMFD system. The accuracy and acceleration performance of multi-level CMFD are examined for a variety of well-known multi-group benchmarks problems. The numerical results demonstrate that superior accuracy is achievable and the multi-level CMFD acceleration method is efficient, particularly for the larger, multi-group systems. Published by Elsevier Ltd.
机译:提出了一种使用局部两节点节点展开法求解三维多组中子扩散方程的高效计算多级粗糙网格有限差分(CMFD)加速度。多级CMFD加速方法包括两个基本特征:(1)通过使用多组(MG)CMFD的横截面,通量和电流信息来建立新的单组(1G)CMFD线性系统,以加速MG CMFD计算,(2)提出了一种自适应Wielandt移位方法来加速1G CMFD的逆功率迭代,以便为1G和MG CMFD线性系统在迭代开始时提供准确的特征值估计。另外,定义了节点不连续性因子和扩散系数校正因子,以实现1G和MG CMFD系统的等效性。针对各种众所周知的多组基准测试问题,研究了多级CMFD的准确性和加速性能。数值结果表明,可以实现出色的精度,并且多级CMFD加速方法是有效的,特别是对于较大的多组系统。由Elsevier Ltd.发布

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