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MULTI-GROUP GMRES ALGORITHM FOR THE EXPONENTIAL FUCTION EXPANSIONAL NODAL SP3 METHOD

机译:指数函数扩展结点SP3方法的多组GMRES算法。

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To improve the accuracy of reactor core design, a parallel multi-group whole core pin-by-pin calculation code, EFEN, was developed based on the Exponential Function Expansion Nodal method. In this paper, we study the acceleration of EFEN with Wielandt shift algorithm and multi-group GMRES algorithm. Taking advantage of high dominance ratio of the PWR pin-by-pin problem, the Wielandt method was employed by making part of the fission sources into pseudo scattering source. However, this artificial up-scattering caused by the pseudo scattering would increase the burden of multi-group iteration for scattering source. Thus, instead of the legacy multi-group Gauss-Seidel algorithm, the multi-group GMRES algorithm that solve all on the energy groups simultaneously is used to deal with the artificial up-scattering problem. Verification and analysis of these methods were performed on 10-by-l multi-assembly problem and a more realistic multi-group PWR core problem. The calculation results show that the number of power iteration can be reduce by a factor of about 6 or 10 by utilizing the Wielandt method with factor of 0.01. Multi-group GMRES algorithm accelerates the multi-group iteration significantly. The combination of these two can provide a speedup of 3.6 for a typical 8-group pin-by-pin calculation with 289x289x56 meshes. However, the higher speedup of 14.0 can be obtained with multi-group GMRES method and previously developed CMFD method.
机译:为了提高反应堆核心设计的准确性,基于指数函数扩展节点方法开发了一种并行多组整个核心引脚逐针计算码。在本文中,我们使用Wielandt Shift算法和多组GMRES算法研究eFEN的加速度。利用PWR引脚逐针问题的高度优势比,通过将部分裂变来源制作到伪散射源中采用WIENANDT方法。然而,由伪散射引起的这种人工上散射将增加散射源的多组迭代的负担。因此,代替传统的多组高斯 - Seidel算法,同时解决所有在能量组上的多组GMRES算法用于处理人工上散射问题。对这些方法的验证和分析是对10×10多组装问题的验证和分析,以及更现实的多组PWR核心问题。计算结果表明,通过利用因数0.01的Wielandt方法,可以减少功率迭代的数量约为6或10。多组GMRES算法显着加速了多组迭代。这两者的组合可以为典型的8组引脚逐针计算提供3.6的加速,289x289x56网格。然而,通过多组GMRES方法可以获得14.0的更高的加速度,并且先前显影的CMFD方法。

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