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Solution of the neutron transport equation by the Method of Characteristics using a linear representation of the source within a mesh

机译:通过特性方法使用网格内源的线性表示法求解中子输运方程

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A common assumption in the solution of the neutron transport equation by the Method of Characteristics (MOC) is that the source (or flux) is constant within a mesh. This assumption is adequate provided the meshes are small enough so that the spatial variation of flux within a mesh may be ignored. Whether a mesh is small enough or not depends upon the flux gradient across a mesh, which in turn depends on factors like the presence of strong absorbers, localized sources or vacuum boundaries. The flat flux assumption often requires a very large number of meshes for solving the neutron transport equation with acceptable accuracy as was observed in our earlier work on the subject. A significant reduction in the required number of meshes is attainable by using a higher order representation of the flux within a mesh. In this paper, we expand the source within a mesh up to first order (linear) terms, which permits the use of larger sized (and therefore fewer) meshes and thereby reduces the computation time without compromising the accuracy of calculation. Since the division of the geometry into meshes is through an automatic triangulation procedure using the Bowyer-Watson algorithm, representation of circular objects (cylindrical fuel rods) with coarse meshes is poorer and causes geometry related errors. A numerical recipe is presented to make a correction to the automatic triangulation process and thereby eliminate this source of error. A number of benchmark problems are analyzed to emphasize the advantage of the source expansion method and the need to correct the triangular representation of the geometry. (C) 2017 Elsevier Ltd. All rights reserved.
机译:通过特征方法(MOC)解决中子输运方程的一个常见假设是,源(或通量)在网格内是恒定的。只要网格足够小,该假设就足够了,从而可以忽略网格内通量的空间变化。网格是否足够小取决于网格上的通量梯度,而梯度又取决于诸如强吸收体,局部源或真空边界的存在等因素。平面通量假设通常需要大量网格才能以可接受的精度求解中子输运方程,正如我们先前在该问题上的工作所观察到的那样。通过使用网格内通量的高阶表示,可以大大减少所需网格的数量。在本文中,我们将网格内的源扩展到一阶(线性)项,从而允许使用更大尺寸(因此更少)的网格,从而减少了计算时间而又不影响计算的准确性。由于将几何体划分为网格是通过使用Bowyer-Watson算法的自动三角剖分过程进行的,因此具有粗网格的圆形对象(圆柱形燃料棒)的表示效果较差,并且会导致与几何相关的错误。提出了一种数字配方,可以对自动三角剖分过程进行校正,从而消除这种误差来源。分析了许多基准问题,以强调源扩展方法的优势以及校正几何形状的三角形表示的需要。 (C)2017 Elsevier Ltd.保留所有权利。

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