离散模拟的粒子-边界作用模型
Particle-wall interaction model in discrete simulation
查看参考文献43篇
文摘
|
粒子-边界作用模型是粒子模拟中非常重要的一类边界条件,主要包括镜面反射、回弹反射和热边界等.本文详细介绍了这几类边界条件,重点分析讨论了几种模型中涉及的Maxwell分布和偏Maxwell分布以及它们在计算机模拟中的实现方式,并用硬球对流体做了模拟测试.模拟结果表明,对于热平衡状态下的流体,壁面反射粒子速度用Maxwell分布模拟的流体温度比边界要低,二维情况下只有壁面温度的约0.70,三维情况下则约为0.77.并且流体温度不是处处相等,靠近壁面处比其他地方要显得更低,而用偏Maxwell分布模拟的流体状态则与实际情形吻合的很好. |
其他语种文摘
|
Particle-wall interaction models, including specular reections, bounce-back reflections and diffuse reflections and so on, are very important boundary conditions in particle simulations. These boundary conditions are reviewed in this paper, and the focus is on several models related to Maxwellian distribution and Biased-Maxwellian distribution, as well as their implementation in computer simu-lations of the heat balance between the fluid and boundaries. Comparing the simulation results with the actual situation, it is proved that Maxwellian distribution will lead to the loss of energy in the bulk. For a fluid in equilibrium with a boundary, the temperature of the fluid, as measured, is only about 0. 70 of the target value if Maxwellian distribution is applied in two-dimensional cases, and 0.77 in three-dimensional cases. And it is not uniform everywhere, lower temperature is found near the boundary. Apparently, it is shown that in diffuse reflections, the particles leaving wall boundaries should have Biased-Maxwellian velocity distribution while a Maxwellian dis-tribution is to be reconstructed in the bulk. |
来源
|
计算机与应用化学
,2009,26(5):539-544 【核心库】
|
关键词
|
边界条件
;
计算机模拟
;
Maxwell分布
;
偏Maxwell分布
|
地址
|
中国科学院过程工程研究所, 多相复杂系统国家重点实验室, 北京, 100190
|
语种
|
中文 |
文献类型
|
研究性论文 |
ISSN
|
1001-4160 |
学科
|
化学;自动化技术、计算机技术;化学工业 |
基金
|
国家自然科学基金资助项目
|
文献收藏号
|
CSCD:3602722
|
参考文献 共
43
共3页
|
1.
Allen MP.
Computer Simulation of Liquids Reprint ed,1990:24-27
|
被引
1
次
|
|
|
|
2.
Rapaport DC.
Hie Ait of Molecular Dynamics Simulation 2nd ed,2004
|
被引
1
次
|
|
|
|
3.
Revenga M. Boundary model in DPD.
International Journal of Modern Physics C-Physics and Computers,1998,9(8):1319-1328
|
被引
9
次
|
|
|
|
4.
Tang DX.
A General Method of Parallel Computation for Particle Methods and Its Preliminary Applications,2005
|
被引
2
次
|
|
|
|
5.
Tang DX. Molecular dynamics simulations of self organized polyicosahedral Si nanowire.
The Journal of Chemical Physics,2006,125:747-12
|
被引
1
次
|
|
|
|
6.
Revenga M. Boundary conditions in dissi pative particle dynamics.
Computer Physics Communications,1999,121(122):309-311
|
被引
9
次
|
|
|
|
7.
Boek ES. Simulating the rheology of dense colloidal suspensions using dissipa tive particle dynamics.
Physical Review E,1997,55(3):3124-3133
|
被引
10
次
|
|
|
|
8.
Hoogerbrugge PJ. Simulating microscopic hydrody namic phenomena with dissipative particle dynamics.
Europhysics Letters,1992,19(3):155-160
|
被引
191
次
|
|
|
|
9.
Pivkin IV. A new method to impose no-slip boundary conditions in dissipative particle dynamics.
Journal of Computational Physics,2005,207(1):114-128
|
被引
14
次
|
|
|
|
10.
Wang LM.
Discrete Simulation for Single-Phase Complex Flows,2008
|
被引
1
次
|
|
|
|
11.
Lavallee P. Boundaries in lattice gas flows.
PHYSICA D,1991,47(1/2):233-240
|
被引
5
次
|
|
|
|
12.
ShenQ.
Rarefied Gas Dynamics,2003
|
被引
1
次
|
|
|
|
13.
Chen SY. On boundary conditions in lattice Boltzmann methods.
Physics of Fluids,1996,8(9):2527-2536
|
被引
14
次
|
|
|
|
14.
Wang LM. A new wall boundary condition in particle methods.
Computer Physics Communications,2006,174(5):386-390
|
被引
3
次
|
|
|
|
15.
Bird GA.
Molecular Gas Dynamics and The Direct Simulation of Gas Flows,1994
|
被引
198
次
|
|
|
|
16.
Chapman S.
The Mathematical Theory of Non-Uni form Gases 3rd ed,1970
|
被引
1
次
|
|
|
|
17.
Ge W. Pseudo-particle simulation of multi scale heterogeneity in fluidization.
Chinese Science Bulletin,2003,48(7):634-636
|
被引
7
次
|
|
|
|
18.
Wang LM.
Internal report.2008,Institute of Process Enginering,2008
|
被引
1
次
|
|
|
|
19.
Maxwell J.
Scientific Papers Vol.2,1890
|
被引
1
次
|
|
|
|
20.
Kamiadakis G.
Microflows and Nanoflows:Fundamentals and Simulation,2005
|
被引
1
次
|
|
|
|
|