广义总能双分布函数动力学模型的提升关系及其对可压缩湍流模拟的影响

IF 2.5 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yiming Qi , Jie Shen , Lian-Ping Wang , Zhaoli Guo
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引用次数: 0

摘要

最近,Qi 等人(2022 年)和 Guo 等人(2023 年)利用总能量双分布函数(DDF)公式提出了两种高效介观方法的替代设计,以下简称为 Qi 模型和 Guo 模型。这两个模型具有相同的优点,即只使用 40 个离散粒子速度来完全再现纳维-斯托克斯-傅里叶(NSF)系统。然而,Guo 模型基于更严格的动力学考虑,而 Qi 模型则依赖于更通用的源项设计,以允许调整体积-剪切粘度比。本文基于两种不同的方法,即 Hermite 扩展和 Chapman-Enskog 扩展,推导了 Qi 模型的提升关系,可用于构建介观方法的边界条件和初始条件。对于三维可压缩湍流模拟,包括可压缩衰减各向同性湍流和泰勒-格林涡流,将推导出的两组提升关系应用于初始化分布函数,研究它们的影响。有趣的是,对于 Qi 模型,两组提升关系产生了相同的结果,没有数值伪影,而对于 Guo 模型,必须指定适当的提升关系以避免流动初始化产生的数值伪影(Qi 等人,2023 年)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lifting relations for a generalized total-energy double-distribution-function kinetic model and their impact on compressible turbulence simulation

Recently, Qi et al. (2022) and Guo et al. (2023) proposed two alternative designs of an efficient mesoscopic method using the total-energy double-distribution-function (DDF) formulation, hereafter referred to as the Qi model and the Guo model. The two models share the same advantage of using only 40 discrete particle velocities to fully reproduce the Navier–Stokes-Fourier (NSF) system. However, the Guo model is based on a more rigorous kinetic consideration, while the Qi model relies on a more general design of the source term to allow for adjustable bulk-to-shear viscosity ratio. In this paper, we derive lifting relations for the Qi model based on two alternative approaches, namely, the Hermite expansion and the Chapman–Enskog expansion, which can be used to construct the boundary and initial conditions for the mesoscopic method. For three-dimensional compressible turbulence simulations, including compressible decaying homogeneous isotropic turbulence and Taylor–Green vortex flows, the derived two sets of lifting relations are applied to the initialization distribution function to study their impacts. Interestingly, for the Qi model, the two sets of lifting relations yield the same results without numerical artifacts, whereas for the Guo model, an appropriate lifting relation must be specified to avoid numerical artifacts resulting from the flow initialization (Qi et al., 2023).

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来源期刊
Computers & Fluids
Computers & Fluids 物理-计算机:跨学科应用
CiteScore
5.30
自引率
7.10%
发文量
242
审稿时长
10.8 months
期刊介绍: Computers & Fluids is multidisciplinary. The term ''fluid'' is interpreted in the broadest sense. Hydro- and aerodynamics, high-speed and physical gas dynamics, turbulence and flow stability, multiphase flow, rheology, tribology and fluid-structure interaction are all of interest, provided that computer technique plays a significant role in the associated studies or design methodology.
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