A unified stochastic particle method based on the Bhatnagar-Gross-Krook model for polyatomic gases and its combination with DSMC
Fei Fei, Yuan Hu, Patrick Jenny

TL;DR
This paper introduces a hybrid stochastic particle method based on the BGK model for simulating multiscale hypersonic flows of polyatomic gases, combining accuracy and efficiency improvements over traditional methods.
Contribution
It extends the unified stochastic particle BGK scheme to polyatomic gases with vibrational and rotational energies and combines it with DSMC for enhanced hypersonic flow simulation.
Findings
Achieves second-order accuracy in fluid limit
Validates with shock and hypersonic flow tests
Reduces computational cost compared to traditional methods
Abstract
Simulating hypersonic flow around a space vehicle is challenging because of the multiscale and nonequilibrium nature inherent in these flows. To effectively deal with such flows, a novel particle particle hybrid scheme combining the stochastic particle Bhatnagar-Gross-Krook (BGK) method with Direct Simulation Monte Carlo (DSMC) was developed recently, but only for monatomic gases [Fei et. al., J. Comput. Phys. 2021]. Here this work is extended to the particle-particle hybrid method for polyatomic gases. In the near continuum regime, employing the Ellipsoidal Statistical BGK model proposed by Y. Dauvois, et. al. [Eur. J. Mech. B Fluids, 2021] with discrete levels of vibrational energy, the stochastic particle BGK method is first established following the idea of the unified stochastic particle BGK (USPBGK) scheme. In the fluid limit, it has been proven to be of second order temporal and…
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Taxonomy
TopicsParticle Dynamics in Fluid Flows · Gas Dynamics and Kinetic Theory · Wind and Air Flow Studies
