This paper presents a new method for modeling rarefied gas flows based on hybridization of direct simulation Monte Carlo (DSMC) and discrete velocity method (DVM)-based quasi-particle representations of the velocity distribution function. It is aimed at improving the resolution of the tails of the distribution function (compared with DSMC) and computational efficiency (compared with DVM). Details of the method, such as the collision algorithm and the particle merging scheme, are discussed. The hybrid approach is applied to the study of noise in a Maxwellian distribution, computation of electron-impact ionization rate coefficient, as well as numerical simulation of a supersonic Couette flow. The hybrid-based solver is compared with pure DSMC and DVM approaches in terms of accuracy, computational speed, and memory use. It is shown that such a hybrid approach can provide a lower computational cost than a pure DVM approach, while being able to retain accuracy in modeling high-velocity tails of the distribution function. For problems where trace species have a significant impact on the flow physics, the proposed method is shown to be capable of providing better computational efficiency and accuracy compared with standard fixed-weight DSMC.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Velocity-Space Hybridization of Direct Simulation Monte Carlo and a Quasi-Particle Boltzmann Solver


    Contributors:

    Published in:

    Publication date :

    2021-05-17


    Size :

    12 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Velocity-space Hybridization of DSMC and a Boltzmann Solver

    Oblapenko, Georgii / Goldstein, David B. / Varghese, Philip et al. | AIAA | 2020


    VELOCITY-SPACE HYBRIDIZATION OF DSMC AND A BOLTZMANN SOLVER

    Oblapenko, Georgii / Goldstein, David B. / Varghese, Philip et al. | TIBKAT | 2020



    On Direct Simulation Quasi-Monte Carlo Methods

    Camberos, Jose / Greendyke, Robert / Lambe, Larry | AIAA | 2008