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Parallel block multigrid preconditioner for 3D Navier-Stokes equations on unstructured grids

机译:非结构化网格上3D Navier-Stokes方程的并行块多网格预处理器

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In this paper, we explore a parallel block multigrid preconditioner based on factorization of the coefficient matrix generated in three-dimensional unstructured grids system. This preconditioner is robust with respect to the magnitude of the mesh size and the coefficient complexity, apply smoothed aggregation algebraic multigrid which using block lower-upper symmetric Gauss-Seidel(BLU-SGS) as smoother to accelerate convergent rate. We focus on this method to three-dimensional, unstructured, large-scale, parallel and NS equations' steady-state simulations. The numerical results which conducted on NACA0012 airfoil indicate that nearly optimal convergence rates and computational complexity for parallel solutions, this method also provide high speedup and efficiency for a series of processors.
机译:在本文中,我们基于三维非结构化网格系统中生成的系数矩阵的因式分解,探索了并行块多网格预处理器。该预处理器在网格大小的大小和系数复杂性方面是鲁棒的,应用平滑的聚合代数多重网格,该网格使用块下-上对称高斯-赛德尔(BLU-SGS)作为平滑器来加快收敛速度​​。我们将这种方法集中于三维,非结构化,大规模,并行和NS方程的稳态仿真。在NACA0012机翼上进行的数值结果表明,并行解决方案具有接近最佳的收敛速度和计算复杂度,该方法还为一系列处理器提供了更高的加速和效率。

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