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Assessment of Preconditioner for a USM3D Hierarchical Adaptive Nonlinear Method (HANIM) (Invited)

机译:USM3D分层自适应非线性方法(HANIM)的预处理器评估(已邀请)

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Enhancements to the previously reported mixed-element USM3D Hierarchical Adaptive Nonlinear Iteration Method (HANIM) framework have been made to further improve robustness, efficiency, and accuracy of computational fluid dynamic simulations. The key enhancements include a multi-color line-implicit preconditioner, a discretely consistent symmetry boundary condition, and a line-mapping method for the turbulence source term discretization. The USM3D iterative convergence for the turbulent flows is assessed on four configurations. The configurations include a two-dimensional (2D) bump in a channel, the 2D NACA 0012 airfoil, a three-dimensional (3D) bump in a channel, and a 3D hemisphere cylinder. The Reynolds Averaged Navier Stokes (RANS) solutions have been obtained using a Spalart-Allmaras turbulence model and families of uniformly refined nested grids. Two types of HANIM solutions using line- and point-implicit preconditioners have been computed. Additional solutions using the point-implicit preconditioner alone (PA) method that broadly represents the baseline solver technology have also been computed. The line-implicit HANIM shows superior iterative convergence in most cases with progressively increasing benefits on finer grids.
机译:对以前报道的混合元素USM3D分层自适应非线性迭代方法(HANIM)框架进行了增强,以进一步提高计算流体动力学模拟的鲁棒性,效率和准确性。关键的增强包括多色线隐式预处理器,离散一致对称边界条件以及用于湍流源项离散化的线映射方法。 USM3D湍流的迭代收敛在四种配置上进行了评估。这些配置包括通道中的二维(2D)凸块,2D NACA 0012机翼,通道中的三维(3D)凸块和3D半球圆柱体。使用Spalart-Allmaras湍流模型和均匀精炼的嵌套网格族获得了雷诺平均Navier斯托克斯(RANS)解。已经计算出了两种使用线隐式和点隐式预处理器的HANIM解决方案。还计算了使用单独的点隐式前置条件(PA)方法的其他解决方案,该方法广泛地代表了基线求解器技术。隐含线HANIM在大多数情况下显示出优异的迭代收敛性,并且在更精细的网格上的收益逐渐增加。

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