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Acceleration of a Navier-Stokes equation solver for unstructured grids using agglomeration multigrid and parallel processing

机译:使用聚结多网格和并行处理来加速非结构化网格的Navier-Stokes方程求解器

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This paper focuses on the parallelization of the agglomeration multigrid technique for the numerical solution of the 2D and 3D Favre-averaged Navier-Stokes equations on unstructured grids. The agglomeration algorithm conforms with the finite-volume discretization scheme and operates independently of the algorithm used to define the concurrently treated subdomains. The computational platform is a cluster of interconnected processors, each of which is associated with one subdomain and requires repetitive communication with the other processors, carried out through the PVM library. Emphasis is laid on (a) the agglomeration strategy, by comparing isotropic and directional agglomeration techniques depending on grid stretching, (b) the discretization schemes for the inviscid fluxes, based on identical edge-wise computations at any multigrid level along with flux limiting techniques, (c) the discretization schemes for the viscous fluxes, for which the triangle- or tetrahedron-based scheme on the fine mesh switches to a computationally less demanding edge-wise scheme on the coarser grids and (d) the modification to the multigrid operators for the one- and two-equation turbulence models. Isolated airfoil, wing and turbomachinery cascade flow problems are used to demonstrate the efficiency of multigrid.
机译:本文针对非结构化网格上2D和3D Favre平均Navier-Stokes方程的数值解,着重考虑了团聚多网格技术的并行化。聚集算法符合有限体积离散化方案,并且独立于用于定义并发处理的子域的算法进行操作。计算平台是一组互连的处理器,每个处理器都与一个子域关联,并且需要与其他处理器通过PVM库进行重复通信。重点放在(a)团聚策略上,通过比较各向同性和定向团聚技术(取决于网格拉伸),(b)基于无粘性通量的离散化方案,基于在任何多网格级别的相同边沿计算以及通量限制技术,(c)粘性通量的离散化方案,对于该方案,细网格上的基于三角形或四面体的方案切换为在较粗网格上对计算的要求较低的边向方案,以及(d)对多网格算子的修改一方程和二方程湍流模型。孤立的机翼,机翼和涡轮机械级联流动问题被用来证明多重网格的效率。

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