A flux solver based on discrete Boltzmann method for compressible flows with nonequilibrium effects

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Chuandong Lin , Chang Shu
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引用次数: 0

Abstract

A flux solver based upon the discrete Boltzmann method (DBM) is presented for simulating compressible flows that encompass both hydrodynamic and thermodynamic behaviors. The kinetic model utilizes discrete distribution functions expressed through the discrete equilibrium distribution function that is calculated via the inverse matrix method. Unlike the DBM using discrete Boltzmann equations, our approach solves the conservation equations of mass, momentum, and energy by calculating flux terms from the summation of discrete distribution functions. This method significantly enhances computational efficiency and numerical robustness compared to DBM, by employing fewer governing equations and allowing for larger time steps. The approach is validated through five standard benchmarks: sound wave, thermal Couette flow, Sod shock tube, Lax shock tube, and Kelvin–Helmholtz instability. Two discrete velocity sets at the Euler and Navier–Stokes levels are employed in the simulations. It is demonstrated that the flux solver effectively integrates the strengths of both hydrodynamic solvers and the DBM, offering a powerful tool for simulating and analyzing compressible flows with complex nonequilibrium features in diverse scientific and engineering applications.
基于离散玻尔兹曼方法的非平衡可压缩流通量求解器
提出了一种基于离散玻尔兹曼方法(DBM)的通量求解器,用于模拟包含流体动力和热力学行为的可压缩流动。动力学模型采用离散分布函数,通过逆矩阵法计算得到离散平衡分布函数。与使用离散玻尔兹曼方程的DBM不同,我们的方法通过从离散分布函数的求和中计算通量项来解决质量、动量和能量的守恒方程。与DBM相比,该方法通过使用更少的控制方程和允许更大的时间步长,显著提高了计算效率和数值鲁棒性。该方法通过五个标准基准进行验证:声波、热库埃特流、Sod激波管、Lax激波管和开尔文-亥姆霍兹不稳定性。模拟中采用了欧拉和纳维-斯托克斯水平的两个离散速度集。结果表明,通量求解器有效地结合了流体动力学求解器和DBM的优点,为各种科学和工程应用中具有复杂非平衡特征的可压缩流动的模拟和分析提供了强有力的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computers & Mathematics with Applications
Computers & Mathematics with Applications 工程技术-计算机:跨学科应用
CiteScore
5.10
自引率
10.30%
发文量
396
审稿时长
9.9 weeks
期刊介绍: Computers & Mathematics with Applications provides a medium of exchange for those engaged in fields contributing to building successful simulations for science and engineering using Partial Differential Equations (PDEs).
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