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A simple statistical approach to model the time-dependent response of polymers with reversible cross-links

机译:一种简单的统计方法来建模具有可逆交联的聚合物随时间变化的响应

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摘要

A new class of polymers characterized by dynamic cross-links is analyzed from a mechanical point of view. A thermodynamically consistent model is developed within the Lagrangian framework for polymers that can rearrange their internal cross-links. Such a class of polymers has the capability to reset their internal microstructure and the microscopic remodeling mechanism leads to a behavior similar to that of an elastic fluid. These materials can potentially be used in several fields, such as in biomechanics, smart materials, morphing materials to cite e few. However, a comprehensive understanding is necessary before we can predict their behavior and perform material design for advanced technologies. The proposed formulation–following a statistical approach adapted from classical rubber elasticitye is based on the evolution of the molecular chains’ end-to-end distance distribution function. This distribution is allowed here to evolve with time, starting from an initial stress-free state and depending on the deformation history and the cross-link attachment/detachment kinetics. Some simple examples are finally presented and discussed to illustrate the capability and generality of the developed approach.
机译:从机械的角度分析了以动态交联为特征的新型聚合物。在拉格朗日框架内开发了一种热力学一致的模型,用于可重新排列其内部交联的聚合物。这类聚合物具有复位其内部微结构的能力,并且微观重塑机理导致其行为类似于弹性流体。这些材料可潜在地用于多个领域,例如生物力学,智能材料,变形材料等。但是,在我们能够预测它们的行为并进行先进技术的材料设计之前,必须有一个全面的了解。所提议的公式是在遵循经典橡胶弹性的统计方法之后,基于分子链端对端距离分布函数的演变。从初始无应力状态开始,并根据变形历史和交联连接/分离动力学,这种分布随时间而变化。最后提供并讨论了一些简单的示例,以说明所开发方法的功能和一般性。

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