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arXiv 2305.09320cond-mat.soft
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平面硬圆盘随机堆积的几何概率方法

A geometric probabilistic approach to random packing of hard disks in a plane

H. J. H. Brouwers

AI总结:

本研究采用几何概率方法,建立平面等尺寸硬圆盘的随机密堆积模型,提出单分散圆盘随机松堆积的统计几何模型,推导得到配位数的闭式表达式,结果与已有实验、模拟及Rényi停车模型等结果高度吻合。

摘要:

本文采用几何概率方法,分析了平面内硬圆盘的随机堆积分数。首先,对等尺寸圆盘的随机密堆积(random close packing,RCP)进行建模。随后,采用相同方法,提出了一个用于单分散圆盘随机松堆积(random loose packing,RLP)的简单统计几何模型。通过这一极为基础的RLP推导得到的堆积值(约0.66),与此前二维圆盘堆积研究得到的数值高度吻合。本几何模型还能推导得到不同压实状态下,接触数(配位数)作为堆积密度函数的闭式表达式。本文将这些预测结果与经验结果、模拟结果(包括Rényi停车模型等)进行了全面比较,吻合度良好。

英文摘要:

In this paper the random packing fraction of hard disks in a plane is analyzed, following a geometric probabilistic approach. First, the random close packing (RCP) of equally sized disks is modelled. Subsequently, following the same methodology, a simple, statistical geometric model is proposed for the random loose packing (RLP) of monodisperse disks. This very basic derivation of RLP leads to a packing value (~ 0.66) that is in very good agreement with values that have been obtained previously for 2D disk packings. The present geometrical model also enables closed-form expression for the contact (coordination) number as function of the packing density at different states of compaction. These predictions are thoroughly compared with empirical and simulation results, among others the Rényi parking model, yielding good agreement.

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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