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Further studies on Geometric Conservation Law and applications to high-order finite difference schemes with stationary grids

机译:几何守恒律的进一步研究及其在具有固定网格的高阶有限差分方案中的应用

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The metrics and Jacobian in the fluid motion governing equations under curvilinear coordinate system have a variety of equivalent differential forms, which may have different discretization errors with the same difference scheme. The discretization errors of metrics and Jacobian may cause serious computational instability and inaccuracy in numerical results, especially for high-order finite difference schemes. It has been demonstrated by many researchers that the Geometric Conservation Law (GCL) is very important for high-order Finite Difference Methods (FDMs), and a proper form of metrics and Jacobian, which can satisfy the GCL, can considerably reduce discretization errors and computational instability. In order to satisfy the GCL for FDM, we have previously developed a Conservative Metric Method (CMM) to calculate the metrics [1] and the difference scheme δ3 in the CMM is determined with the suggestion δ3 = δ2. In this paper, a Symmetrical Conservative Metric Method (SCMM) is newly proposed based on the discussions of the metrics and Jacobian in FDM from geometry viewpoint by following the concept of vectorized surface and cell volume in Finite Volume Methods (FVMs). Interestingly, the expressions of metrics and Jacobian obtained by using the SCMM with second-order central finite difference scheme are equivalent to the vectorized surfaces and cell volumes, respectively. The main advantage of SCMM is that it makes the calculations based on high-order WCNS schemes aroud complex geometry flows possible and somewhat easy. Numerical tests on linear and nonlinear problems indicate that the quality of numerical results may be largely enhanced by utilizing the SCMM, and the advantage of the SCMM over other forms of metrics and Jacobian may be more evident on highly nonuniform grids.
机译:曲线坐标系下流体运动控制方程中的度量和雅可比行列式具有多种等效的微分形式,在相同的差分格式下可能具有不同的离散误差。度量和Jacobian的离散化误差可能会导致数值结果的严重计算不稳定和不准确性,尤其是对于高阶有限差分方案。许多研究人员已经证明,几何守恒律(GCL)对于高阶有限差分法(FDM)非常重要,并且可以满足GCL的适当形式的度量和Jacobian可以大大减少离散误差并计算不稳定性。为了满足FDM的GCL,我们先前已经开发了一种保守的度量方法(CMM)来计算度量[1],并根据δ3=δ2的建议确定CMM中的差异方案δ3。本文基于有限体积方法(FVM)中矢量化表面和单元体积的概念,从几何角度出发,在FDM中的度量和雅可比矩阵的讨论基础上,提出了一种对称保守度量方法(SCMM)。有趣的是,通过使用带有二阶中心有限差分方案的SCMM获得的度量和Jacobian表达式分别等于矢量化的表面和像元体积。 SCMM的主要优点是,它使得基于高阶WCNS方案的计算成为可能,并且在某种程度上简化了复杂的几何流程。对线性和非线性问题的数值测试表明,利用SCMM可以大大提高数值结果的质量,并且在高度不均匀的网格上,SCMM相对于其他形式的度量和Jacobian的优势可能更加明显。

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