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Computations of Unsteady Viscous Compressible Flows Using Adaptive Mesh Refinement in Curvilinear Body-fitted Grid Systems

机译:曲线拟合网格系统中自适应网格细化的非定常粘性可压缩流计算

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摘要

A methodology for accurate and efficient simulation of unsteady, compressible flows is presented. The cornerstones of the methodology are a special discretization of the Navier-Stokes equations on structured body-fitted grid systems and an efficient solution-adaptive mesh refinement technique for structured grids. The discretization employs an explicit multidimensional upwind scheme for the inviscid fluxes and an implicit treatment of the viscous terms. The mesh refinement technique is based on the AMR algorithm of Berger and Colella. In this approach, cells on each level of refinement are organized into a small number of topologically rectangular blocks, each containing several thousand cells. The small number of blocks leads to small overhead in managing data, while their size and regular topology means that a high degree of optimization can be achieved on computers with vector processors.
机译:提出了一种精确有效地模拟不稳定,可压缩流的方法。该方法的基石是在结构化体装配式网格系统上对Navier-Stokes方程的特殊离散化,以及对结构化网格的高效解决方案自适应网格细化技术。离散化对不粘性通量采用显式多维迎风方案,并对粘性项进行隐式处理。网格细化技术基于Berger和Colella的AMR算法。通过这种方法,每个细化级别上的单元都被组织为少量的拓扑矩形块,每个块包含数千个单元。少量的块导致管理数据的开销较小,而它们的大小和规则的拓扑结构意味着可以在具有矢量处理器的计算机上实现高度的优化。

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