Vernerey Franck J, Brighenti Roberto, Long Rong, Shen Tong
Department of Mechanical Engineering, University of Colorado Boulder, Boulder, Colorado 80309, United States.
Program of Materials Science and Engineering, University of Colorado Boulder, Boulder, Colorado 80309, United States.
Macromolecules. 2018 Sep 11;51(17):6609-6622. doi: 10.1021/acs.macromol.8b01052. Epub 2018 Aug 20.
The macroscopic mechanical response of polymers can be traced down to the microscale physics of the network by using a statistical approach for the description of the configuration state of the polymer chains. In this paper we present a micromechanical model to capture the macroscopic behavior of polymers by tracking the evolution of a distribution function describing chain configurations, more specifically the statistics of the end-to-end distance on the network chains. Damage, manifested in the softening and hysteresis under cyclic loading, is accounted for through the scission of chains, whose occurrence is evaluated on the basis of the probability of failure, also settled in the configuration space. The proposed micromechanical model can easily accommodate also the mechanics of dynamic network with reversible cross-links, thereby providing a general and physics-based approach to the study of polymers and polymer-like materials.
通过使用一种统计方法来描述聚合物链的构型状态,聚合物的宏观力学响应可以追溯到网络的微观物理层面。在本文中,我们提出了一个微观力学模型,通过跟踪描述链构型的分布函数的演化,更具体地说是网络链上首尾距离的统计信息,来捕捉聚合物的宏观行为。损伤表现为循环加载下的软化和滞后现象,通过链的断裂来考虑,链断裂的发生是根据失效概率来评估的,而失效概率也在构型空间中确定。所提出的微观力学模型还可以很容易地适应具有可逆交联的动态网络的力学,从而为聚合物和类聚合物材料的研究提供一种通用的、基于物理的方法。