首页> 外文期刊>Journal of Computational Physics >A STRONGLY COUPLED TIME-MARCHING METHOD FOR SOLVING THE NAVIER-STOKES AND K-OMEGA TURBULENCE MODEL EQUATIONS WITH MULTIGRID
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A STRONGLY COUPLED TIME-MARCHING METHOD FOR SOLVING THE NAVIER-STOKES AND K-OMEGA TURBULENCE MODEL EQUATIONS WITH MULTIGRID

机译:求解多重网格Navier-Stokes和K-OMEGA湍流模型方程的强耦合时间求解方法

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Many researchers use a time-lagged or loosely coupled approach in solving the Navier-Stokes equations and two-equation turbulence model equations in a time-marching method. The Navier-Stokes equations and the turbulence model equations are solved separately and often with different methods. In this paper a strongly coupled method is presented for such calculations. The Navier-Stokes equations and two-equation turbulence model equations, in particular, the k-omega equations, are considered as one single set of strongly coupled equations and solved with the same explicit time-marching algorithm without time-lagging. A multigrid method, together with other acceleration techniques such as local time steps and implicit residual smoothing, is applied to both the Navier-Stokes and the turbulence model equations. Time step limits due to the source terms in the k-omega equations are relieved by treating the appropriate source terms implicitly. The equations are also strongly coupled in space through the use of staggered control volumes. The method is applied to the calculation of flows through cascades as well as over isolated airfoils. Convergence rate is greatly improved by the use of the multigrid method with the strongly coupled time-marching scheme. (C) 1996 Academic Press, Inc. [References: 27]
机译:许多研究人员使用时滞或松散耦合的方法以时间步长法求解Navier-Stokes方程和二方程湍流模型方程。 Navier-Stokes方程和湍流模型方程是分开求解的,通常使用不同的方法求解。在本文中,提出了一种用于这种计算的强耦合方法。 Navier-Stokes方程和两方程湍流模型方程,特别是k-omega方程,被视为一组强耦合方程,并使用相同的显式时间步长算法进行求解而没有时间滞后。多重网格方法与其他加速技术(例如本地时间步长和隐式残差平滑)一起应用于Navier-Stokes和湍流模型方程。通过隐式处理适当的源项,可以缓解由于k-omega方程中的源项引起的时间步长限制。通过使用交错的控制体积,这些方程在空间上也紧密耦合。该方法适用于计算通过叶栅以及孤立翼型的流量。通过将多网格方法与强耦合时间前进方案结合使用,可以大大提高收敛速度。 (C)1996 Academic Press,Inc. [参考:27]

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