Lid-Driven Cavity Flow Using a Discrete Velocity Method for Solving the Boltzmann Equation

被引:0
|
作者
Sekaran, Aarthi [1 ]
Varghese, Philip [1 ,2 ]
Estes, Samuel [1 ]
Goldstein, David [2 ]
机构
[1] Univ Texas Austin, Inst Computat Engn & Sci, Austin, TX 78712 USA
[2] Univ Texas Austin, Dept Aerosp Engn & Engn Mech, Austin, TX 78712 USA
基金
美国国家科学基金会;
关键词
VARIANCE REDUCTION; MONTE-CARLO;
D O I
10.1063/1.4967549
中图分类号
O59 [应用物理学];
学科分类号
摘要
We extend the discrete velocity method for solving the Boltzmann equation previously used for one-dimensional problems to two spatial dimensions. The collision integral is computed using collisions between velocity classes selected randomly using a Monte Carlo method. Arbitrary post-collision velocities are mapped back onto the grid using a projection scheme which conserves mass, momentum, and energy. In addition, a variance reduction scheme is implemented to decrease noise and further reduce computational effort. The convection part of the equation is computed using first order upwind finite differences. We apply this discrete velocity scheme to the 2D lid-driven square cavity flow problem with Ar as the fluid medium and explore the effect of the additional flexibility available in this quasi-particle based stochastic method on the accuracy and noise level in the solutions obtained.
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页数:8
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