气固两相流模拟的随机离散模型

作     者：欧阳洁 孙国刚 李静海 Ouyang Jie(Department of Applied Mathematics, Northwestern Polytechnical University, Xi’an, 710072) (Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100080)Sun Guogang (Department of Chemical Engineering, The University of Petroleum, Beijing 100083)Li Jinghai (Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100080)

作者机构：西北工业大学应用数学系西安710072 北京石油大学化工学院北京100083 中国科学院过程工程研究所 

出 版 物：《数值计算与计算机应用》 (Journal on Numerical Methods and Computer Applications)

年 卷 期：2003年第24卷第2期

页      面：88-100页

核心收录：

学科分类：080704[工学-流体机械及工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：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 

主　　题：随机离散模型 气固两相流 连续介质 离散介质 Navier-Stokes方程 气体 颗粒 控制方程 综合随机力 数值模拟 线性同余法 

摘      要：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 calcu-lating 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 nu-merical simulations of gas-solid systems, in which different random forces are *** indicates that the stochastic discrete model can be used to simulate qualitatively the dynamic behaviors of gas-solid two-phase flow.