Gao Guo-Jie, Bławzdziewicz Jerzy, O'Hern Corey S
Department of Mechanical Engineering, Yale University, New Haven, Connecticut 06520-8284, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2006 Dec;74(6 Pt 1):061304. doi: 10.1103/PhysRevE.74.061304. Epub 2006 Dec 13.
Relative frequencies of mechanically stable (MS) packings of frictionless bidisperse disks are studied numerically in small systems. The packings are created by successively compressing or decompressing a system of soft purely repulsive disks, followed by energy minimization, until only infinitesimal particle overlaps remain. For systems of up to 14 particles, most of the MS packings were generated. We find that the packings are not equally probable as has been assumed in recent thermodynamic descriptions of granular systems. Instead, the frequency distribution, averaged over each packing-fraction interval Deltaphi , grows exponentially with increasing phi. Moreover, within each packing-fraction interval, MS packings occur with frequencies f{k} that differ by many orders of magnitude. Also, key features of the frequency distribution do not change when we significantly alter the packing-generation algorithm; for example, frequent packings remain frequent and rare ones remain rare. These results indicate that the frequency distribution of MS packings is strongly influenced by geometrical properties of the multidimensional configuration space. By adding thermal fluctuations to a set of the MS packings, we were able to examine a number of local features of configuration space near each packing. We measured the time required for a given packing to break to a distinct one, which enabled us to estimate the energy barriers that separate one packing from another. We found a gross positive correlation between the packing frequencies and the heights of the lowest energy barriers {0}; however, there is significant scatter in the data. We also examined displacement fluctuations away from the MS packings to assess the size and shape of the local basins near each packing. The displacement modes scale as d{i} approximately epsilon{0}{gamma{i}} with gamma{i} ranging from approximately 0.6 for the largest eigenvalues to 1.0 for the smallest ones. These scalings suggest that the packing frequencies are not determined by the local volume of configuration space near each packing, which would require that the dependence of f{k} on epsilon{0} is much stronger than the dependence we observe. The scatter in our data implies that in addition to epsilon{0} there are also other, as yet undetermined variables that influence the packing probabilities.
在小系统中对无摩擦双分散圆盘的机械稳定(MS)堆积的相对频率进行了数值研究。这些堆积是通过对软的纯排斥圆盘系统依次进行压缩或解压,然后进行能量最小化来创建的,直到仅剩下极小的粒子重叠。对于多达14个粒子的系统,生成了大多数的MS堆积。我们发现这些堆积并非如最近颗粒系统的热力学描述中所假设的那样具有同等概率。相反,在每个堆积分数区间Δφ上平均的频率分布随着φ的增加呈指数增长。此外,在每个堆积分数区间内,MS堆积出现的频率f{k}相差多个数量级。而且,当我们显著改变堆积生成算法时,频率分布的关键特征不会改变;例如,频繁出现的堆积仍然频繁,罕见的堆积仍然罕见。这些结果表明,MS堆积的频率分布受到多维构型空间几何性质的强烈影响。通过向一组MS堆积中添加热涨落,我们能够研究每个堆积附近构型空间的一些局部特征。我们测量了给定堆积破裂成另一个不同堆积所需的时间,这使我们能够估计将一个堆积与另一个堆积分开的能量障碍。我们发现堆积频率与最低能量障碍{0}的高度之间存在大致的正相关;然而,数据中存在显著的离散性。我们还研究了远离MS堆积的位移涨落,以评估每个堆积附近局部盆地的大小和形状。位移模式按d{i}≈ε{0}{γ{i}}缩放,γ{i}的范围从最大特征值的约0.6到最小特征值的1.0。这些缩放表明堆积频率不是由每个堆积附近构型空间的局部体积决定的,而这将要求f{k}对ε{0}的依赖性比我们观察到的要强得多。我们数据中的离散性意味着除了ε{0}之外,还有其他尚未确定的变量影响堆积概率。