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A spatially variant rebalancing method for discrete-ordinates transport equation

机译:离散坐标输运方程的空间变分再平衡方法

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In this paper we propose a new non-linear technique for accelerating the source iterations of the discrete ordinates transport equation. The acceleration method, called Spatially Variant Rebalancing Method (SVRM), is based on the computation of the zeroth and first order spatial variation of the neutron balance equation. The non-linear acceleration is applied to the method of characteristics (MOC) with a step-approximation of the source. The new acceleration is meant to catch the high-order variation of the neutron flux within the spatial mesh. The paper proposes a numerical analysis of the technique based on the explicit computation of the Jacobian. The latter is analyzed with both spectral and Fourier analysis (Hong et al., 2010). Also, a comparison of the new method against CMFD (Smith, 1983), DSA (Larsen, 1982), and BPA (Adams et al., 1988) has been done for a parametrized heterogeneous problem, in order to study the performance of SVRM in different transport regimes, The analysis of SVRM has been constrained to plane geometries. (C) 2019 Elsevier Ltd. All rights reserved.
机译:在本文中,我们提出了一种新的非线性技术,用于加速离散坐标传输方程的源迭代。这种加速方法称为空间变分再平衡方法(SVRM),其计算基于中子平衡方程的零阶和一阶空间变化。非线性加速度应用于信号源的逐步逼近的特征方法(MOC)。新的加速度旨在捕捉空间网格内中子通量的高阶变化。本文基于雅可比行列式的显式计算,对该技术进行了数值分析。后者通过频谱和傅立叶分析进行了分析(Hong等,2010)。此外,为了研究SVRM的性能,已经针对参数化的异类问题对CMFD(Smith,1983年),DSA(Larsen,1982年)和BPA(Adams等,1988年)进行了比较。在不同的运输方式下,SVRM的分析仅限于平面几何形状。 (C)2019 Elsevier Ltd.保留所有权利。

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