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分形晶格中的相关刚性渗流

Correlated rigidity percolation in fractal lattices.

作者信息

Machlus Shae, Zhang Shang, Mao Xiaoming

机构信息

Department of Physics, University of Chicago, Chicago, Illinois 60637, USA.

Department of Physics, University of Michigan, Ann Arbor, Michigan 48109, USA.

出版信息

Phys Rev E. 2021 Jan;103(1-1):012104. doi: 10.1103/PhysRevE.103.012104.

Abstract

Rigidity percolation (RP) is the emergence of mechanical stability in networks. Motivated by the experimentally observed fractal nature of materials like colloidal gels and disordered fiber networks, we study RP in a fractal network where intrinsic correlations in particle positions is controlled by the fractal iteration. Specifically, we calculate the critical packing fractions of site-diluted lattices of Sierpiński gaskets (SG's) with varying degrees of fractal iteration. Our results suggest that although the correlation length exponent and fractal dimension of the RP of these lattices are identical to that of the regular triangular lattice, the critical volume fraction is dramatically lower due to the fractal nature of the network. Furthermore, we develop a simplified model for an SG lattice based on the fragility analysis of a single SG. This simplified model provides an upper bound for the critical packing fractions of the full fractal lattice, and this upper bound is strictly obeyed by the disorder averaged RP threshold of the fractal lattices. Our results characterize rigidity in ultralow-density fractal networks.

摘要

刚性渗流(RP)是网络中机械稳定性的出现。受实验观察到的诸如胶体凝胶和无序纤维网络等材料的分形性质的启发,我们研究了一种分形网络中的RP,其中粒子位置的内在相关性由分形迭代控制。具体而言,我们计算了具有不同程度分形迭代的谢尔宾斯基垫片(SG)的位点稀释晶格的临界填充率。我们的结果表明,尽管这些晶格的RP的关联长度指数和分形维数与规则三角形晶格的相同,但由于网络的分形性质,临界体积分数显著更低。此外,我们基于单个SG的脆性分析开发了一个SG晶格的简化模型。这个简化模型为完整分形晶格的临界填充率提供了一个上限,并且分形晶格的无序平均RP阈值严格遵循这个上限。我们的结果表征了超低密度分形网络中的刚性。

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