Particles-on-Demand for Kinetic Theory
Computational Physics
2018-10-03 v1 Statistical Mechanics
Fluid Dynamics
Abstract
A novel formulation of fluid dynamics as a kinetic theory with tailored, on-demand constructed particles removes any restrictions on Mach number and temperature as compared to its predecessors, the lattice Boltzmann methods and their modifications. In the new kinetic theory, discrete particles are determined by a rigorous limit process which avoids ad hoc assumptions about their velocities. Classical benchmarks for incompressible and compressible flows demonstrate that the proposed discrete-particles kinetic theory opens up an unprecedented wide domain of applications for computational fluid dynamics.
Cite
@article{arxiv.1806.05089,
title = {Particles-on-Demand for Kinetic Theory},
author = {B. Dorschner and F. Bösch and I. V. Karlin},
journal= {arXiv preprint arXiv:1806.05089},
year = {2018}
}