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首页> 外文期刊>Journal of Computational Physics >Comparison of the generalized Riemann solver and the gas-kinetic scheme for inviscid compressible flow simulations
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Comparison of the generalized Riemann solver and the gas-kinetic scheme for inviscid compressible flow simulations

机译:广义Riemann求解器与气体动力学方案在无粘性可压缩流模拟中的比较

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摘要

The generalized Riemann problem (GRP) scheme for the Euler equations and gas-kinetic scheme (GKS) for the Boltzmann equation are two high resolution shock capturing schemes for fluid simulations. The difference is that one is based on the characteristics of the inviscid Euler equations and their wave interactions, and the other is based on the particle transport and collisions. The similarity between them is that both methods can use identical MUSCL-type initial reconstructions around a cell interface, and the spatial slopes on both sides of a cell interface involve in the gas evolution process and the construction of a time-dependent flux function. Although both methods have been applied successfully to the inviscid compressible flow computations, their performances have never been compared. Since both methods use the same initial reconstruction, any difference is solely coming from different underlying mechanism in their flux evaluation. Therefore, such a comparison is important to help us to understand the correspondence between physical modeling and numerical performances. Since GRP is so faithfully solving the inviscid Euler equations, the comparison can be also used to show the validity of solving the Euler equations itself. The numerical comparison shows that the GRP exhibits a slightly better computational efficiency, and has comparable accuracy with GKS for the Euler solutions in 1D case, but the GKS is more robust than GRP. For the 2D high Mach number flow simulations, the GKS is absent from the shock instability and converges to the steady state solutions faster than the GRP. The GRP has carbuncle phenomena, likes a cloud hanging over exact Riemann solvers. The GRP and GKS use different physical processes to describe the flow motion starting from a discontinuity. One is based on the assumption of equilibrium state with infinite number of particle collisions, and the other starts from the non-equilibrium free transport process to evolve into an equilibrium one through particle collisions. The different mechanism in the flux evaluation deviates their numerical performance. Through this study, we may conclude scientifically that it may NOT be valid to use the Euler equations as governing equations to construct numerical fluxes in a discretized space with limited cell resolution. To adapt the Navier-Stokes (NS) equations is NOT valid either because the NS equations describe the flow behavior on the hydrodynamic scale and have no any corresponding physics starting from a discontinuity. This fact alludes to the consistency of the Euler and Navier-Stokes equations with the continuum assumption and the necessity of a direct modeling of the physical process in the discretized space in the construction of numerical scheme when modeling very high Mach number flows. The development of numerical algorithm is similar to the modeling process in deriving the governing equations, but the control volume here cannot be shrunk to zero.
机译:欧拉方程的广义Riemann问题(GRP)方案和Boltzmann方程的气体动力学方案(GKS)是两种用于流体模拟的高分辨率冲击捕获方案。区别在于,一个是基于无粘性Euler方程的特征及其波相互作用,另一个是基于粒子的传输和碰撞。它们之间的相似之处在于,这两种方法都可以在单元界面周围使用相同的MUSCL型初始重构,并且单元界面两侧的空间斜率都涉及气体逸出过程和时间相关通量函数的构造。尽管这两种方法已成功地应用于无粘性可压缩流计算,但它们的性能从未得到过比较。由于两种方法都使用相同的初始重建,因此任何差异都仅来自其通量评估中的不同基础机制。因此,这样的比较对于帮助我们理解物理建模与数值性能之间的对应关系很重要。由于GRP如此忠实地求解无粘性的Euler方程,因此该比较也可用于显示求解Euler方程本身的有效性。数值比较表明,在一维情况下,GRP的计算效率略高,并且与GKS具有可比的精度,但是GKS比GRP更健壮。对于2D高马赫数流动仿真,GKS不受冲击不稳定的影响,并且收敛到稳态解的速度比GRP快。 GRP具有碰现象,就像一团乌云笼罩在精确的黎曼求解器上。 GRP和GKS使用不同的物理过程来描述从不连续处开始的流动运动。一种是基于具有无限数量粒子碰撞的平衡状态的假设,另一种是从非平衡自由传输过程开始,通过粒子碰撞演变成一种平衡状态。通量评估中的不同机制会偏离其数值性能。通过这项研究,我们可以得出科学的结论,即使用Euler方程作为控制方程来构建离散空间中有限单元分辨率的数值通量可能是无效的。适应Navier-Stokes(NS)方程是无效的,因为NS方程描述了流体动力学尺度上的流动行为,并且没有从中断处开始的任何相应的物理场。这一事实暗示了Euler和Navier-Stokes方程具有连续性假设的一致性,并且在建模非常高的Mach数流时,在构造数值方案时必须对离散空间中的物理过程进行直接建模。数值算法的发展与推导控制方程式的建模过程相似,但此处的控制量不能缩减为零。

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