A Simulation Method to Play with Porosity and Particle Size Distribution for Characterizing Porous Media

TL;DR

This paper introduces a simulation method to analyze how particle size distribution influences porosity in porous media, aiding in better characterization through flexible and scalable modeling.

Contribution

The paper presents a novel simulation approach that models particle packing considering size distribution and natural deposition, reducing boundary effects for porous media analysis.

Findings

Effective simulation of particle packing with varied size distributions.

Quantitative insights into porosity variations based on particle size.

Flexible tool for porous media characterization.

Abstract

This note presents a simulation method for investigating the relationship between porosity and particle size distribution in porous media characterization. The method simulates particle packing based on particle size distributions, incorporating descent and collision rules to mimic the natural deposition process while minimizing boundary-induced porosity distortions. By systematically varying the mean particle size and standard deviation, multiple packed structures are generated, and their corresponding porosities are calculated. This approach offers a flexible and scalable tool for exploring the impact of particle size distribution on porosity, providing both qualitative and quantitative insights into porous media properties.