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arXiv 2203.04891cond-mat.softphysics.bio-ph
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无序网络流变学中应变控制的临界慢化

Strain-controlled critical slowing down in the rheology of disordered networks

Jordan L. Shivers, Abhinav Sharma, Fred C. MacKintosh

AI总结:

本研究针对无序网络等系统的刚性转变流变行为,提出非仿射性与过剩黏度的定量关系,经模拟验证并预测了生物聚合物网络应变硬化转变的临界流变特征。

摘要:

网络和致密悬浮液常处于软(或类流体)态与刚性(或类固体)态的边界附近。结构、密度变化,或外加应力、应变均可驱动这些状态间的转变。通常,在这类系统刚性起始或丧失的临界点附近,限制耗散的非均匀非仿射重排主导宏观粘弹性响应,导致弛豫时间发散和幂律流变行为。本文提出非仿射性与过剩黏度间的简单定量关系,通过计算验证了该非仿射-黏度关系,并在受应变纤维网络与致密悬浮液的模拟中证实了其流变学效应。此外,还预测了半刚性及刚性生物聚合物网络在应变硬化转变附近的流变学临界特征。

英文摘要:

Networks and dense suspensions frequently reside near a boundary between soft (or fluid-like) and rigid (or solid-like) regimes. Transitions between these regimes can be driven by changes in structure, density, or applied stress or strain. In general, near the onset or loss of rigidity in these systems, dissipation-limiting heterogeneous nonaffine rearrangements dominate the macroscopic viscoelastic response, giving rise to diverging relaxation times and power-law rheology. Here, we describe a simple quantitative relationship between nonaffinity and the excess viscosity. We test this nonaffinity-viscosity relationship computationally and demonstrate its rheological consequences in simulations of strained filament networks and dense suspensions. We also predict critical signatures in the rheology of semiflexible and stiff biopolymer networks near the strain stiffening transition.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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