Discrete Boltzmann method for non-equilibrium flows: based on Shakhov model
Yudong Zhang, Aiguo Xu, Guangcai Zhang, Zhihua Chen, and Pei Wang

TL;DR
This paper introduces a versatile discrete Boltzmann model based on the Shakhov approach, capable of accurately simulating non-equilibrium flows across various regimes, with validated results and enhanced non-equilibrium measurement techniques.
Contribution
The paper develops a new discrete Boltzmann model using Hermite expansion and isotropic velocities, allowing adjustable heat ratio and Prandtl number, applicable to multiple flow regimes including transition flows.
Findings
Accurately captures velocity slip and temperature jump near walls.
Shows excellent performance in predicting non-equilibrium flows in transition regimes.
Introduces non-equilibrium strength $D^*_n$ for better interface characterization.
Abstract
A general framework for constructing discrete Boltzmann model for non-equilibrium flows based on the Shakhov model is presented. The Hermite polynomial expansion and a set of discrete velocity with isotropy are adopted to solve the kinetic moments of discrete equilibrium distribution function. Such a model possesses both an adjustable specific heat ratio and Prandtl number, and can be applied to a wide range of flow regimes including continuous, slip, and transition flows. To recover results for actual situations, the nondimensionalization process is demonstrated. To verify and validate the new model, several typical non-equilibrium flows including the Couette flow, Fourier flow, unsteady boundary heating problem, cavity flow, and Kelvin-Helmholtz instability are simulated. Comparisons are made between the results of discrete Boltzmann model and those of previous models including…
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