首页> 外文会议>26th AIAA Fluid Dynamics Conference June 19-22, 1995/San Diego, CA >Primitive variable, pressure based flux-split, rns formulations for incompressible and compresible flows
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Primitive variable, pressure based flux-split, rns formulations for incompressible and compresible flows

机译:原始变量,基于压力的流量分裂,RNS公式用于不可压缩和可压缩的流量

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Two primitive variable, pressure based flux-split RNS/NS solution procedures for viscous flows are presented. Both methods are valid across the full Mach number range, i.e., from the incompressible limit to high supersonic speeds. The first method is an "optimized" version of the previously developed global pressure relaxation RNS procedure. Considerabl reduction in the number of costly matrix inversions, and consequently in the computational time, is achieved. A speed up of almost 15 is attainable, as compared to the original procedure, for predominantly elliptic type flows. The second method is a time-marching, "linearized" convection RNS/NS procedure. The key to the efficiency of this procedure is the need for a single LU inversion at the inflow cross-plane. The remainder of the algorithm is based on simpel back-substitution. This method in the current form is not time-consistent and has a convective-only CFL type stability limitation. Both formulations are robust and provide accurate solutions for a variety of viscous flows.
机译:提出了两种基于变量的原始变量,用于粘性流的基于流量的RNS / NS分解程序。两种方法均在整个马赫数范围内有效,即从不可压缩的极限到高超音速。第一种方法是先前开发的全局压力松弛RNS程序的“优化”版本。大大减少了昂贵的矩阵求逆的次数,从而减少了计算时间。与原始过程相比,主要是椭圆形流可以达到近15的加速。第二种方法是时间行进的“线性化”对流RNS / NS过程。此过程效率的关键是在流入横切面上需要单个LU反转。该算法的其余部分基于simpel反替换。当前形式的此方法时间不一致,并且仅具有对流CFL类型的稳定性限制。两种配方均坚固耐用,可为各种粘性流提供准确的解决方案。

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