A solution algorithm for the fluid dynamic equations based on a stochastic model for molecular motion

作者：Jenny Patrick^*; Torrilhon Manuel; Heinz Stefan

来源：Journal of Computational Physics, 2010, 229(4): 1077-1098.

DOI：10.1016/j.jcp.2009.10.008

• Kinetic gas theory
• Boltzman equation
• Fokker-Planck equation
• PDF methods
• Monte-Carlo method
• Stochastic differential equations

In this paper, a stochastic model is presented to simulate the flow of gases, which are not in thermodynamic equilibrium, like in rarefied or micro situations. For the interaction of a particle with others, statistical moments of the local ensemble have to be evaluated, but unlike in molecular dynamics simulations or DSMC, no collisions between computational particles are considered. In addition, a novel integration technique allows for time steps independent of the stochastic time scale.
The stochastic model represents a Fokker-Planck equation in the kinetic description, which can be viewed as an approximation to the Boltzmann equation. This allows for a rigorous investigation of the relation between the new model and classical fluid and kinetic equations. The fluid dynamic equations of Navier-Stokes and Fourier are fully recovered for small relaxation times, while for larger values the new model extents into the kinetic regime.
Numerical studies demonstrate that the stochastic model is consistent with Navier-Stokes in that limit, but also that the results become significantly different, if the conditions for equilibrium are invalid. The application to the Knudsen paradox demonstrates the correctness and relevance of this development, and comparisons with existing kinetic equations and standard solution algorithms reveal its advantages. Moreover, results of a test case with geometrically complex boundaries are presented.

• 出版日期2010-2-20