A velocity space hybridization-based Boltzmann equation solver

Oblapenko, George; Goldstein, David; Varghese, Philip; Moore, Christopher Hudson

doi:10.1016/j.jcp.2020.109302

A velocity space hybridization-based Boltzmann equation solver

Journal Article · Mon Feb 03 00:00:00 EST 2020 · Journal of Computational Physics

DOI:https://doi.org/10.1016/j.jcp.2020.109302· OSTI ID:1601261

^[1]; Goldstein, David ^[1]; Varghese, Philip ^[1]; Moore, Christopher Hudson ^[2]

Univ. of Texas, Austin, TX (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

In the present research, a new method for simulation of rarefied gas flows is proposed, a velocity-space hybrid of both a DSMC representation of particles and a discrete velocity quasi-particle representation of the distribution function. The hybridization scheme is discussed in detail, and is numerically verified for two test-cases: the BKW relaxation problem and a stationary Maxwellian distribution. It is demonstrated that such a velocity-space hybridization can provide computational benefits when compared to a pure discrete velocity method or pure DSMC approach, while retaining some of the more attractive properties of discrete velocity methods. Further possible improvements to the velocity-space hybrid approach are discussed.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE; USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1601261

Alternate ID(s):: OSTI ID: 1691632

Report Number(s):: SAND2020--1528J; 683626

Journal Information:: Journal of Computational Physics, Journal Name: Journal of Computational Physics Journal Issue: C Vol. 408; ISSN 0021-9991

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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A velocity space hybridization-based Boltzmann equation solver

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