Prediction of Moments in the Particles on Demand Method for LBM

Prediction of Moments in the Particles on Demand Method for LBM

Year:    2023

Author:    Elizaveta Zipunova, Anastasia Perepelkina, Vadim Levchenko, German Zvezdin

Communications in Computational Physics, Vol. 33 (2023), Iss. 1 : pp. 144–173

Abstract

PonD is a method to extend LBM calculations to arbitrary ranges of Mach number and temperature. The current work was motivated by the issue of mass, momentum and energy conservation in the PonD method for LBM. The collision guarantees their conservation, thus, the study involves all aspects of the streaming step: both coordinate and velocity space discretizations, gauge transfer method, resolution of the scheme implicitness. After obtaining the expressions for the change of moments in the system in a time update of the scheme, it was found that the scheme can be formulated as explicit in some cases. Thus, we found the sufficient conditions to make Pond/RegPonD computations explicit and mass, momentum, and energy conserving. The scheme was implemented in the explicit form, and validated for several test cases.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.OA-2022-0048

Communications in Computational Physics, Vol. 33 (2023), Iss. 1 : pp. 144–173

Published online:    2023-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    30

Keywords:    LBM compressible off-grid.

Author Details

Elizaveta Zipunova

Anastasia Perepelkina

Vadim Levchenko

German Zvezdin