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Statistical properties of pseudo-particle systems 被引量:3

Statistical properties of pseudo-particle systems
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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.
出处 《Particuology》 SCIE EI CAS CSCD 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)
关键词 Pseudo-particle modeling Molecular dynamics Transport coefficient Chapman-Enskog theory Pseudo-particle modeling Molecular dynamics Transport coefficient Chapman-Enskog theory
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