Chubynsky M V, Thorpe M F
Département de Physique, Université de Montréal, Case Postale 6128, Succursale Centre-Ville, Montréal, Québec, Canada H3C 3J7.
Phys Rev E Stat Nonlin Soft Matter Phys. 2007 Oct;76(4 Pt 1):041135. doi: 10.1103/PhysRevE.76.041135. Epub 2007 Oct 25.
A fast computer algorithm, the pebble game, has been used successfully to analyze the rigidity of two-dimensional (2D) elastic networks, as well as of a special class of 3D networks, the bond-bending networks, and enabled significant progress in studies of rigidity percolation on such networks. Application of the pebble game approach to general 3D networks has been hindered by the fact that the underlying mathematical theory is, strictly speaking, invalid in this case. We construct an approximate pebble game algorithm for general 3D networks, as well as a slower but exact algorithm, the relaxation algorithm, that we use for testing the new pebble game. Based on the results of these tests and additional considerations, we argue that in the particular case of randomly diluted central-force networks on bcc and fcc lattices, the pebble game is essentially exact. Using the pebble game, we observe an extremely sharp jump in the largest rigid cluster size in bond-diluted central-force networks in 3D, with the percolating cluster appearing and taking up most of the network after a single bond addition. This strongly suggests a first-order rigidity percolation transition, which is in contrast to the second-order transitions found previously for the 2D central-force and 3D bond-bending networks. While a first order rigidity transition has been observed previously for Bethe lattices and networks with "chemical order," here it is in a regular randomly diluted network. In the case of site dilution, the transition is also first order for bcc lattices, but results for fcc lattices suggest a second-order transition. Even in bond-diluted lattices, while the transition appears massively first order in the order parameter (the percolating cluster size), it is continuous in the elastic moduli. This, and the apparent nonuniversality, make this phase transition highly unusual.
一种快速的计算机算法——卵石游戏,已成功用于分析二维(2D)弹性网络以及一类特殊的三维网络——键弯曲网络的刚性,并在这类网络的刚性渗流研究中取得了显著进展。卵石游戏方法应用于一般三维网络受到了阻碍,因为严格来说,其 underlying 数学理论在这种情况下是无效的。我们为一般三维网络构建了一种近似卵石游戏算法,以及一种较慢但精确的算法——松弛算法,用于测试新的卵石游戏。基于这些测试结果和其他考虑因素,我们认为在体心立方(bcc)和面心立方(fcc)晶格上随机稀释的中心力网络的特定情况下,卵石游戏基本是精确的。使用卵石游戏,我们观察到三维键稀释中心力网络中最大刚性团簇尺寸出现了极其急剧的跳跃,在添加单个键后,渗流团簇出现并占据了网络的大部分。这强烈表明存在一阶刚性渗流转变,这与之前在二维中心力和三维键弯曲网络中发现的二阶转变形成对比。虽然之前在贝塞晶格和具有“化学序”的网络中观察到了一阶刚性转变,但这里是在一个规则的随机稀释网络中。在格点稀释的情况下,bcc晶格的转变也是一阶的,但fcc晶格的结果表明是二阶转变。即使在键稀释晶格中,虽然在序参量(渗流团簇尺寸)中转变看起来是大规模一阶的,但在弹性模量中是连续的。这一点以及明显的非普适性,使得这个相变非常不寻常。