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An Unsteady Adaptation Algorithm for Discontinuous Galerkin Discretizations of the RANS Equations

机译:一种不稳定的适应rans方程的不连续Galerkin离散化算法

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An adaptive method for high-order discretizations of the Reynolds-averaged Navier-Stokes (RANS) equations is examined. The RANS equations and Spalart-Allmaras (SA) turbulence model are discretized with a dual consistent, discontinuous Galerkin discretization. To avoid oscillations in the solution in under-resolved regions, particularly the edge of the boundary layer, artificial dissipation is added to the SA model equation. Two adaptive procedures are examined: a standard output-based adaptation algorithm that requires the steady state solution to estimate the error and a new, unsteady approach that allows the mesh to be adapted without requiring a steady state solution. Results show that the combination of a dual consistent discretization with artificial dissipation and adaptation has significant promise as a practical method for obtaining high-order RANS solutions.
机译:检查了雷诺平均Navier-Stokes(RAN)方程的高阶离散化的自适应方法。 RAN方程和SPALART-ALLMARAS(SA)湍流模型具有双重一致,不连续的Galerkin离散化。为了避免在解析区域中的溶液中的振荡,特别是边界层的边缘,将人工耗散添加到SA模型方程中。检查了两个自适应程序:基于标准的输出基适应算法,需要稳态解决方案来估计允许该网格的误差和新的不稳定方法,而不需要稳态解决方案。结果表明,具有人工耗散和适应的双一致离散化的组合具有重要的希望作为获得高阶RAN解决方案的实用方法。

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