Flow process recognition in anisotropic network

摘要

This paper presents an analysis of Hagen-Poiseulle flow through plane random anisotropic networks of interconnected channels. Analytical results are verified using numerical analysis of flow in a simualted random network. The emphasis of the paper is on the effects of anisotropy on distributions of flow rates in channels. It is shown that, due to anisotropy the maximum flow rate generally occurs in channels that are not aligned along the direction of the macroscopic pressure gradient.