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Arzhang Khalili

Publications and source records attributed to Arzhang Khalili.

2 recordsLinked to original sources

Finite-size anisotropy in statistically uniform porous media

Anisotropy of the permeability tensor in statistically uniform porous media of sizes used in typical computer simulations is studied. Although such systems are assumed to be isotropic by default, we show that de facto their anisotropic permeability can give rise to significant changes of transport parameters such as permeability and tortuosity. The main parameter controlling the anisotropy is $a/L$, being the ratio of the obstacle to system size. Distribution of the angle $α$ between the external force and the volumetric fluid stream is found to be approximately normal, and the standard deviation of $α$ is found to decay with the system size as $(a/L)^{d/2}$, where $d$ is the space dimensionality. These properties can be used to estimate both anisotropy-related statistical errors in large-scale simulations and the size of the representative elementary volume.

physics.flu-dyn

Tortuosity-porosity relation in the porous media flow

We study numerically the tortuosity--porosity relation in a microscopic model of a porous medium arranged as a collectin of freely overlapping squares. It is demonstrated that the finite-size effects and the discretization errors, which were ignored in previous studies, may cause significant underestimation of tortuosity. The simple tortuosity calculation method proposed here eliminates the need for using complicated, weighted averages. The numerical results presented here are in good agreement with an empirical relation between tortuosity ($T$) and porosity ($ϕ$) given by $T-1\propto \lnϕ$, that was found by others experimentally in granule packings and sediments. This relation can be also written as $T-1\propto R S/ϕ$ with $R$ and $S$ denoting the hydraulic radius of granules and the specific surface area, respectively.

physics.flu-dyn