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气固两相流模拟的随机离散模型
引用本文:欧阳洁,孙国刚,李静海.气固两相流模拟的随机离散模型[J].数值计算与计算机应用,2003,24(2):88-100.
作者姓名:欧阳洁  孙国刚  李静海
作者单位:1. 西北工业大学应用数学系,西安,710072;中国科学院过程工程研究所,北京,100080
2. 北京石油大学化工学院,北京,100083
3. 中国科学院过程工程研究所,北京,100080
基金项目:国家自然科学基金(批准号:29976024),陕西省自然科学基金(批准号:2001SL12),多相反应开放研究实验室资助项目
摘    要:§1.引言 气固两相流动形式是最复杂的两相流动实例,其系统中的颗粒浓度较高,颗粒间的碰撞经常发生,从而导致细观层次上的颗粒运动具有复杂性,对于两相流动系统,拟流体模型以其大规模模拟的可行性在数值模拟领域中居重要地位。但是,拟流体模型的连续性假设

修稿时间:2001年8月17日

THE STOCHASTIC DISCRETE MODEL FOR SIMULATING GAS-SOLID TWO-PHASE FLOW
Ouyang Jie.THE STOCHASTIC DISCRETE MODEL FOR SIMULATING GAS-SOLID TWO-PHASE FLOW[J].Journal on Numerical Methods and Computer Applications,2003,24(2):88-100.
Authors:Ouyang Jie
Abstract:A stochastic discrete model is proposed for simulating the dynamic behaviors of gas-solid systems. In the model, the motions of solid phase are obtained by calculating individual particle motions while gas flow is obtained by solving the Navier-Stokes equation including two-phase interaction. For the calculation of solid phase, the motion process of each particle is decomposed into the collision process and suspension process. Momentum conservation of collision mechanics controls the interaction between colliding particles, while the state of each suspended particle is fully dominated by the equation of force balance over that particle. Inaddition to gravity, drag force and pressure, other unclear factors are described as random force in the suspension process. As a result, the proposed model has given some numerical simulations of gas-solid systems, in which different random forces are used. It indicates that the stochastic discrete model can be used to simulate qualitatively the dynamic behaviors of gas-solid two-phase flow.
Keywords:Two-phase flow  Discrete model  Random force  Simulation
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