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arXiv 2409.15330cond-mat.soft
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一种用于表征多孔介质以研究孔隙率与粒径分布的模拟方法

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

Yuhe Wang

AI总结:

本文提出一种模拟方法,基于粒径分布结合下降与碰撞规则模拟颗粒堆积,通过改变平均粒径和标准差生成多结构并计算孔隙率,为多孔介质表征提供灵活可扩展的定性与定量分析工具。

摘要:

本文提出一种用于研究多孔介质表征中孔隙率与粒径分布关系的模拟方法。该方法基于粒径分布模拟颗粒堆积,结合下降与碰撞规则以模拟自然沉积过程,同时最小化边界引起的孔隙率畸变。通过系统改变平均粒径和标准差,生成多个堆积结构并计算其对应孔隙率。该方法为探索粒径分布对孔隙率的影响提供了灵活且可扩展的工具,为多孔介质性质提供定性和定量见解。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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