论文标题

多种液体混合物的可压缩波动流体动力学的交错方案

Staggered Scheme for the Compressible Fluctuating Hydrodynamics of Multispecies Fluid Mixtures

论文作者

Srivastava, Ishan, Ladiges, Daniel R., Nonaka, Andy J., Garcia, Alejandro L., Bell, John B.

论文摘要

我们提出了一种数值公式,用于用热波动的非等热,可压缩的,纳维尔 - 长方体方程,以描述多种物质流体混合物中的中尺度运输现象。我们的数值方法的新颖性是使用交错的网格动量以及热力学变量的有限体积离散化来求解所得的随机偏微分方程。数值方案的关键优势是显着简化的,并且是扩散和随机动量通量的紧凑离散化,以及涉及压力的边界条件的明确处方。与先前在Balakrishnan \ emph {et al。} [Phys Phys Phys中所述的共处方案相比,交错的网格方案更准确地再现了气体混合物中流体动力波动的平衡静态结构因子。 Rev. E 89,013017(2014)]。测试了在各种非平衡条件下的理想贵重气体混合物(例如应用的热和浓度梯度)下测试的数值方法,以评估交叉扩散效应的作用,例如SORET和DUFOUR,在与综合方案相比,还更准确地再现了流体动力波动的长期相关性。我们在数值上研究了由浓度梯度驱动的巨大非平衡波动,以及气体混合物中波动驱动的瑞利 - 泰勒不稳定。无论适用,都可以从直接模拟蒙特卡洛(DSMC)方法的理论和测量值中观察到极好的一致性。

We present a numerical formulation for the solution of non-isothermal, compressible, Navier-Stokes equations with thermal fluctuations to describe mesoscale transport phenomena in multispecies fluid mixtures. The novelty of our numerical method is the use of staggered grid momenta along with a finite volume discretization of the thermodynamic variables to solve the resulting stochastic partial differential equations. The key advantages of the numerical scheme are significantly simplified and compact discretization of the diffusive and stochastic momentum fluxes, and an unambiguous prescription of boundary conditions involving pressure. The staggered grid scheme more accurately reproduces the equilibrium static structure factor of hydrodynamic fluctuations in gas mixtures compared to a collocated scheme described previously in Balakrishnan \emph{et al.} [Phys. Rev. E 89, 013017 (2014)]. The numerical method is tested for ideal noble gases mixtures under various nonequilibrium conditions, such as applied thermal and concentration gradients, to assess the role of cross-diffusion effects, such as Soret and Dufour, on the long-ranged correlations of hydrodynamic fluctuations, which are also more accurately reproduced compared to the collocated scheme. We numerically study giant nonequilibrium fluctuations driven by concentration gradients, and fluctuation-driven Rayleigh-Taylor instability in gas mixtures. Wherever applicable, excellent agreement is observed with theory and measurements from the direct simulation Monte Carlo (DSMC) method.

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