Statistical properties of pseudo-particle systems  

作　　者：Feiguo Chen Wei Ge 

机构地区：[1]State Key Laboratory of Multi-Phase Complex System, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China

出　　处：《Particuology》2010年第4期332-342,共11页颗粒学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant No.20821092);National Basic Research Program of China(Grant No.2009CB219906);Chinese Academy of Sciences(Grant No.KJCX2-YW-222)

摘　　要：Pseudo-particle modeling （PPM）, a molecular modeling method which combines time-driven algorithms and hard molecule modeling, was originally developed for simulating gas in complex multiphase systems （Ge ＆ Li, 2003; Ge et al., 2005; Ge, 1998）. In this work, the properties of two- and three-dimensional pseudo-particle systems, namely, mean free path, compressibility factor, self-diffusion coefficient and shear viscosity, are systematically measured by using PPM. it is found that in terms of an effective diameter, the results well conform to the Chapman-Enskog theory, thus suggesting that PPM can be employed to simulate the micro- and meso-scale behavior of ordinary gas and fluid flows.Pseudo-particle modeling （PPM）, a molecular modeling method which combines time-driven algorithms and hard molecule modeling, was originally developed for simulating gas in complex multiphase systems （Ge ＆ Li, 2003; Ge et al., 2005; Ge, 1998）. In this work, the properties of two- and three-dimensional pseudo-particle systems, namely, mean free path, compressibility factor, self-diffusion coefficient and shear viscosity, are systematically measured by using PPM. it is found that in terms of an effective diameter, the results well conform to the Chapman-Enskog theory, thus suggesting that PPM can be employed to simulate the micro- and meso-scale behavior of ordinary gas and fluid flows.

关 键 词：Pseudo-particle modeling Molecular dynamics Transport coefficient Chapman-Enskog theory 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TB61[自动化与计算机技术—计算机科学与技术]