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arXiv 1010.4492astro-ph.GAastro-ph.CO
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高可压缩天体物理Turbulence的流体动力学亚网格尺度模型

A Fluid-Dynamical Subgrid Scale Model for Highly Compressible Astrophysical Turbulence

W. Schmidt, C. Federrath

摘要:

我们制定和实施的欧拉方程与SGS动力学和SGS湍流能量模型,预测未解决的速度波动和耗散率的高度可压缩湍流的湍流压力提供了数值试验。我们测试封闭的湍流能量级联的高分辨率模拟强迫等温和绝热湍流的过滤数据。最佳的性能和良好的相关性被发现的涡粘性封闭的线性组合,在LES的弱可压缩湍流和一项是非线性的雅可比矩阵的速度。利用该混合封闭模型,对SGS湍流能量模型进行了随机强迫湍流大涡模拟验证。发现SGS模型满足几个重要要求:1。平均SGS湍流能量随网格尺度的变化遵循幂律。2.未分辨速度脉动的均方根(RMS)马赫数与分辨湍流的RMS马赫数成正比,与强迫无关。3.耗散率和湍流能通量是恒定的。此外,我们讨论了直接估计的湍流压力和耗散率的基础上解决的流量,最近提出的困难。结合恒星反馈的能量注入和其他未解决的过程,建议的SGS模型适用于计算天体物理中的各种问题。对星系模拟中SGS湍流能量的计算、恒星形成和恒星反馈的处理等方面进行了改进。此外,我们预期网格尺度上的湍流压力会影响气体抵抗引力坍缩的稳定性。

英文摘要:

We formulate and implement the Euler equations with SGS dynamics and provide numerical tests of an SGS turbulence energy model that predicts the turbulent pressure of unresolved velocity fluctuations and the rate of dissipation for highly compressible turbulence. We test closures for the turbulence energy cascade by filtering data from high-resolution simulations of forced isothermal and adiabatic turbulence. Optimal properties and an excellent correlation are found for a linear combination of the eddy-viscosity closure that is employed in LES of weakly compressible turbulence and a term that is non-linear in the Jacobian matrix of the velocity. Using this mixed closure, the SGS turbulence energy model is validated in LES of turbulence with stochastic forcing. It is found that the SGS model satisfies several important requirements: 1. The mean SGS turbulence energy follows a power law for varying grid scale. 2. The root mean square (RMS) Mach number of the unresolved velocity fluctuations is proportional to the RMS Mach number of the resolved turbulence, independent of the forcing. 3. The rate of dissipation and the turbulence energy flux are constant. Moreover, we discuss difficulties with direct estimates of the turbulent pressure and the dissipation rate on the basis of resolved flow quantities that have recently been proposed. In combination with the energy injection by stellar feedback and other unresolved processes, the proposed SGS model is applicable to a variety of problems in computational astrophysics. Computing the SGS turbulence energy, the treatment of star formation and stellar feedback in galaxy simulations can be improved. Further, we expect that the turbulent pressure on the grid scale affects the stability of gas against gravitational collapse.

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