Statistical properties of pseudo-particle systems

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 and Li, 2003, Ge et al., 2005 and 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.