Planar network statistics for two-dimensional rupturing foams.

IF 2.4 3区 物理与天体物理 Q1 Mathematics
Joseph Klobusicky, Elif Onat, Vasilios Konstantinou
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引用次数: 0

Abstract

We conduct experiments on a class of two-dimensional semiwet foams generated through compressing a three-dimensional soap foam between two glass plates. To induce a spatially uniform rupturing process on foam boundaries, an additional plate is heated and placed on top of the unheated plates. For 30 separate foam samples, we record network statistics related to cell side numbers and areas as the foam coarsens over a half-minute. We find that the Aboav law and a quadratic Lewis Law, two commonly used relations between network topology and geometry, hold well for preheated foams. To track how well these laws are maintained as the foam ages, we introduce metrics for measuring a foam's disorder over time and build simple autonomous models for these metrics. While the quadratic Lewis Law is found to hold well throughout the rupture process, the Aboav law breaks down rapidly when the Gini coefficient, used for measuring disparity of cell areas, is approximately 0.8.

二维破裂泡沫的平面网络统计。
我们对一类二维半湿泡沫进行了实验,该泡沫是通过在两块玻璃板之间压缩三维肥皂泡沫而产生的。为了诱导泡沫边界上的空间均匀破裂过程,在未加热板的顶部放置一个额外的板。对于30个单独的泡沫样本,我们记录了与单元侧数和面积相关的网络统计数据,因为泡沫在半分钟内变粗。我们发现,网络拓扑结构和几何结构之间的两种常用关系——阿波夫定律和二次刘易斯定律,对于预热泡沫来说是适用的。为了跟踪这些规律在泡沫老化过程中的维持情况,我们引入了测量泡沫随时间变化的无序度的指标,并为这些指标建立了简单的自主模型。虽然发现二次刘易斯定律在整个破裂过程中保持良好,但当用于测量细胞面积差异的基尼系数约为0.8时,Aboav定律迅速失效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical review. E
Physical review. E 物理-物理:流体与等离子体
CiteScore
4.60
自引率
16.70%
发文量
0
审稿时长
3.3 months
期刊介绍: Physical Review E (PRE), broad and interdisciplinary in scope, focuses on collective phenomena of many-body systems, with statistical physics and nonlinear dynamics as the central themes of the journal. Physical Review E publishes recent developments in biological and soft matter physics including granular materials, colloids, complex fluids, liquid crystals, and polymers. The journal covers fluid dynamics and plasma physics and includes sections on computational and interdisciplinary physics, for example, complex networks.
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