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Source Term Discretization Effects on the Steady-State Accuracy of Finite Volume Schemes

机译:源项离散化对有限体积方案稳态精度的影响

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摘要

Source terms often arise in Computational Fluid Dynamics to describe a variety of physical phenomena, including turbulence, chemical reactions, and certain methods used for code verification, such as the method of manufactured solutions. While much has already been published on the treatment of source terms, here we follow an uncommon approach, designing compatible source term discretizations in terms of spatial truncation error for finite volume schemes in multiple dimensions. In this work we examine the effect of source term discretization on three finite volume flux schemes applied to steady flows: constant reconstruction, linear reconstruction, and a recently published third-order flux correction method. Three source term discretization schemes are considered, referred to as point, Galerkin, and corrected. The corrected source discretization is a new method that extends our previous work on flux correction to equations with source terms. In all cases, computational grid refinement studies confirm the compatibility (or lack thereof) of various flux-source combinations predicted through detailed truncation error analysis.
机译:源术语通常出现在计算流体动力学中,用于描述各种物理现象,包括湍流,化学反应以及用于代码验证的某些方法,例如制造溶液的方法。尽管关于源项的处理已经发表了很多文章,但在这里我们采用一种不常见的方法,针对多维空间上的有限体积方案,在空间截断误差方面设计兼容的源项离散化。在这项工作中,我们研究了源项离散化对应用于稳定流的三种有限体积通量方案的影响:常量重构,线性重构和最近发布的三阶通量校正方法。考虑了三个源项离散化方案,称为点,Galerkin和已更正。校正后的源离散化是一种新方法,可将我们先前的磁通校正工作扩展到带有源项的方程式。在所有情况下,计算网格细化研究都证实了通过详细的截断误差分析预测的各种通量-源组合的兼容性(或缺乏兼容性)。

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