Rens R, Vahabi M, Licup A J, MacKintosh F C, Sharma A
Department of Physics and Astronomy, Vrije Universiteit , Amsterdam 1081 HV, The Netherlands.
Institute of Physics, University of Amsterdam , Amsterdam 1098 XH, The Netherlands.
J Phys Chem B. 2016 Jul 7;120(26):5831-41. doi: 10.1021/acs.jpcb.6b00259. Epub 2016 Mar 4.
Naturally occurring biopolymers such as collagen and actin form branched fibrous networks. The average connectivity in branched networks is generally below the isostatic threshold at which central force interactions marginally stabilize the network. In the submarginal regime, for connectivity below this threshold, such networks are unstable toward small deformations unless stabilized by additional interactions such as bending. Here we perform a numerical study on the elastic behavior of such networks. We show that the nonlinear mechanics of branched networks is qualitatively similar to that of filamentous networks with freely hinged cross-links. In agreement with a recent theoretical study,1 we find that branched networks also exhibit nonlinear mechanics consistent with athermal critical phenomena controlled by strain. We obtain the critical exponents capturing the nonlinear elastic behavior near the critical point by performing scaling analysis of the stiffening curves. We find that the exponents evolve with the connectivity in the network. We show that the nonlinear mechanics of disordered networks, independent of the detailed microstructure, can be characterized by a strain-driven second-order phase transition, and that the primary quantitative differences among different architectures are in the critical exponents describing the transition.
天然存在的生物聚合物,如胶原蛋白和肌动蛋白,形成分支纤维网络。分支网络中的平均连通性通常低于等静阈值,在该阈值下,中心力相互作用只能勉强稳定网络。在亚临界状态下,对于低于该阈值的连通性,除非通过诸如弯曲等额外相互作用来稳定,否则此类网络对于小变形是不稳定的。在此,我们对这类网络的弹性行为进行了数值研究。我们表明,分支网络的非线性力学在定性上与具有自由铰接交联的丝状网络相似。与最近的一项理论研究一致,我们发现分支网络也表现出与由应变控制的无热临界现象相一致的非线性力学。通过对硬化曲线进行标度分析,我们获得了捕捉临界点附近非线性弹性行为的临界指数。我们发现这些指数随网络中的连通性而变化。我们表明,无序网络的非线性力学,与详细的微观结构无关,可由应变驱动的二阶相变来表征,并且不同结构之间的主要定量差异在于描述该转变的临界指数。