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Solution of K-eigenvalue problem by nodal diffusion method using Orthomin(l) algorithm

机译:使用Orthomin(l)算法通过节点扩散法求解K特征值问题

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This paper deals with the use of Orthomin(l) algorithm for the solution of K-eigenvalue problem in multi-group neutron diffusion theory in a code based on nodal expansion method (NEM). The fundamental K-eigenvalue is usually obtained by power iteration method. There exists another quite efficient but not so well-known approach based on Orthomin(l) algorithm, initially proposed by Suetomi and Sekimoto [1991, Conjugate gradient like methods and their application to eigenvalue problems for neutron diffusion equations, Annals of Nuclear Energy, 18(4), 205-227] to find fundamental mode solution of K-eigenvalue problem. For finite differenced diffusion equation, it has been shown recently that if the algorithm is applied to the K-eigenvalue equation cast in terms of fission matrix, it can be implemented by making few changes in conventional power iteration codes. Here the algorithm is implemented in a similar way for the NEM. The Orthomin(l) algorithm can be used to find higher harmonics by simply changing the initial flux guess. Numerical results are given for 2-D and 3-D IAEA PWR benchmark problems.
机译:本文使用Orthomin(l)算法以基于节点展开法(NEM)的代码求解多组中子扩散理论中的K特征值问题。基本的K特征值通常通过幂迭代法获得。 Suetomi和Sekimoto于1991年提出了另一种基于Orthomin(l)算法的相当有效但尚未广为人知的方法,共轭梯度之类的方法及其在中子扩散方程特征值问题中的应用,《核能年鉴》,18 (4),205-227]找到K特征值问题的基本模式解。对于有限差分扩散方程,最近已经表明,如果将该算法应用于以裂变矩阵表示的K特征值方程,则可以通过对常规功率迭代码进行很少的改变来实现该算法。在这里,NEM以类似的方式实现该算法。可以通过简单地更改初始磁通量猜测值来使用Orthomin(l)算法来查找更高的谐波。给出了2D和3D IAEA PWR基准测试问题的数值结果。

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