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A comparison of computational efficiencies of spectral difference method and correction procedure via reconstruction

机译:谱差法计算效率与修正程序的计算效率比较

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We report computational efficiencies of two types of numerical solvers. The first type uses the spectral difference (SD) method and the second one uses the correction procedure via reconstruction (CPR). In this paper, we employ the lumped _(g2) scheme proposed by Huynh as an example of the CPR approach. The solvers deal with both inviscid Euler equations and Navier-Stokes equations on 2D unstructured grids which are comprised of all quadrilateral cells. Both types of solvers are programmed using Fortran 90 with similar management of data structures. We employ identical time marching schemes for both SD and CPR methods. Spatial 3rd and 4th order of accuracy for both methods is demonstrated by a study of a moving inviscid vortex. The comparisons were directed to measure the computational efficiency of both SD and CPR methods in spatial discretization. With respect to the fourth order methods, CPR is 27% faster than SD for inviscid flow, and more promisingly, CPR is over 40% faster than SD for viscous flow.
机译:我们报告了两种类型的数值求解器的计算效率。第一种使用频谱差异(SD)方法,第二种使用通过重建的校正程序(CPR)。在本文中,我们以Huynh提出的集总_(g2)方案作为CPR方法的示例。求解器处理由所有四边形单元组成的2D非结构化网格上的无粘性Euler方程和Navier-Stokes方程。两种类型的求解器都使用具有类似数据结构管理的Fortran 90进行编程。对于SD和CPR方法,我们采用相同的时间行进方案。两种方法的空间三阶和四阶精度通过对运动的无粘性涡旋的研究得到证明。这些比较旨在衡量SD和CPR方法在空间离散化中的计算效率。对于四阶方法,对于粘性流,CPR比SD快27%,更有希望的是,对于粘性流,CPR比SD快40%以上。

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