Unified gas-kinetic wave-particle methods VII: diatomic gas with rotational and vibrational nonequilibrium

TL;DR

This paper develops a multiscale simulation method for hypersonic flows around vehicles, capturing non-equilibrium physics across flow regimes with improved efficiency and accuracy.

Contribution

The paper introduces a UGKWP method incorporating non-equilibrium among translation, rotation, and vibration modes based on a multiple temperature relaxation model.

Findings

Accurately captures high-speed flow physics across regimes

Demonstrates computational efficiency over traditional methods

Successfully simulates complex hypersonic flow scenarios

Abstract

Hypersonic flow around a vehicle in near space flight is associated with multiscale non-equilibrium physics at a large variation of local Knudsen number from the leading edge highly compressible flow to the trailing edge particle free transport. To accurately capture the solution in all flow regimes from the continuum Navier-Stokes solution to the rarefied gas dynamics in a single computation requires genuinely multiscale method. The unified gas-kinetic wave-particle (UGKWP) method targets on the simulation of such a multicale transport. Due to the wave-particle decomposition, the dynamics in the Navier-Stokes wave and kinetic particle transport has been unified systematically and efficiently under the unified gas-kinetic scheme (UGKS) framework. In this study, the UGKWP method with the non-equilibrium among translation, rotation and vibration modes, is developed based on a multiple temperature relaxation model. The real gas effect for high speed flow in different flow regimes has been properly captured. Numerical tests, including Sod tube, normal shock structure, hypersonic flow around two-dimensional cylinder and three-dimensional flow around a sphere and space vehicle, have been conducted to validate the UGKWP method. In comparison with the discrete velocity method (DVM)-based Boltzmann solver and particle-based direct simulation Monte Carlo (DSMC) method, the UGKWP method shows remarkable advantages in terms of computational efficiency, memory reduction, and automatic recovering of multiscale solution.