Žagar Goran, Onck Patrick R, van der Giessen Erik
Zernike Institute for Advanced Materials, University of Groningen, Groningen, The Netherlands.
Zernike Institute for Advanced Materials, University of Groningen, Groningen, The Netherlands.
Biophys J. 2015 Mar 24;108(6):1470-1479. doi: 10.1016/j.bpj.2015.02.015.
Biopolymer networks, such as those constituting the cytoskeleton of a cell or biological tissue, exhibit a nonlinear strain-stiffening behavior when subjected to large deformations. Interestingly, rheological experiments on various in vitro biopolymer networks have shown similar strain-stiffening trends regardless of the differences in their microstructure or constituents, suggesting a universal stiffening mechanism. In this article, we use computer simulations of a random network comprised of cross-linked biopolymer-like fibers to substantiate the notion that this universality lies in the existence of two fundamental stiffening mechanisms. After showing that the large strain response is accompanied by the development of a stress path, i.e., a percolating path of axially stressed fibers and cross-links, we demonstrate that the strain stiffening can be caused by two distinctly different mechanisms: 1) the pulling out of stress-path undulations; and 2) reorientation of the stress path. The former mechanism is bending-dominated and can be recognized by a power-law dependence with exponent 3/2 of the shear modulus on stress, whereas the latter mechanism is stretching-dominated and characterized by a power-law exponent 1/2. We demonstrate how material properties of the constituents, as well as the network microstructure, can affect the transition between the two stiffening mechanisms and, as such, control the dominant power-law scaling behavior.
生物聚合物网络,例如构成细胞或生物组织细胞骨架的那些网络,在受到大变形时会表现出非线性应变硬化行为。有趣的是,对各种体外生物聚合物网络进行的流变学实验表明,无论其微观结构或成分存在差异,都呈现出相似的应变硬化趋势,这表明存在一种通用的硬化机制。在本文中,我们使用由交联的类生物聚合物纤维组成的随机网络的计算机模拟,来证实这种通用性在于存在两种基本的硬化机制这一观点。在表明大应变响应伴随着应力路径的形成,即轴向受力纤维和交联的渗流路径之后,我们证明应变硬化可能由两种截然不同的机制引起:1)应力路径波动的拉出;2)应力路径的重新定向。前一种机制以弯曲为主,可以通过剪切模量对应力的指数为3/2的幂律依赖关系来识别,而后一种机制以拉伸为主,其特征是幂律指数为1/2。我们展示了成分的材料特性以及网络微观结构如何影响两种硬化机制之间的转变,进而控制主导的幂律标度行为。