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SINGLE CHAIN STOCHASTIC POLYMER MODELING AT HIGH STRAIN RATES

机译:高应变率下的单链随机聚合物建模

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Our goal is to develop constitutive relations for the behavior of a solid polymer during high-strain-rate deformations. In contrast to the classic thermodynamic techniques for deriving stress-strain response in static (equilibrium) circumstances, we employ a statistical-mechanics approach, in which we evolve a probability distribution function (PDF) for the velocity fluctuations of the repeating units of the chain. We use a Langevin description for the dynamics of a single repeating unit and a Lioville equation to describe the variations of the PDF. Moments of the PDF give the conservation equations for a single polymer chain embedded in other similar chains. To extract single-chain analytical constitutive relations these equations have been solved for representative loading paths. By this process we discover that a measure of non-uniform chain link displacement serves this purpose very well. We then derive an evolution equation for the descriptor function, with the result being a history-dependent constitutive relation.
机译:我们的目标是为高应变速率变形过程中的固体聚合物的行为建立本构关系。与在静态(平衡)情况下获得应力-应变响应的经典热力学技术相反,我们采用统计力学方法,其中我们针对链重复单元的速度波动演化了概率分布函数(PDF) 。我们将Langevin描述用于单个重复单元的动力学,并使用Lioville方程来描述PDF的变化。 PDF的力矩给出了嵌入其他类似链中的单个聚合物链的守恒方程。为了提取单链解析本构关系,已对代表载荷路径的方程进行了求解。通过此过程,我们发现非均匀链节位移的测量非常适合此目的。然后,我们导出描述符函数的演化方程,其结果是与历史相关的本构关系。

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