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首页> 外文期刊>Journal of intelligent material systems and structures >A large deformation framework for shape memory polymers: Constitutive modeling and finite element implementation
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A large deformation framework for shape memory polymers: Constitutive modeling and finite element implementation

机译:形状记忆聚合物的大型变形框架:本构模型和有限元实现

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摘要

Shape memory polymers commonly experience both finite deformations and arbitrary thermomechanical loading conditions in engineering applications. This motivates the development of three-dimensional constitutive models within the finite deformation regime. In the present study, based on the principles of continuum thermodynamics with internal variables, a three-dimensional finite deformation phenomenological constitutive model is proposed taking its basis from the recent model in the small strain regime proposed by Baghani et al. (2012). In the constitutive model derivation, a multiplicative decomposition of the deformation gradient into elastic and inelastic stored parts (in each phase) is adopted. Moreover, employing the mixture rule, the Green-Lagrange strain tensor is related to the rubbery and glassy parts. In the constitutive model, the evolution laws for internal variables are derived during both cooling and heating thermomechanical loadings. Furthermore, we present the time-discrete form of the proposed constitutive model in the implicit form. Using the finite element method, we solve several boundary value problems, that is, tension and compression of bars and a three-dimensional beam made of shape memory polymers, and investigate the model capabilities as well as its numerical counterpart The model is validated by comparing the predicted results with experimental data reported in the literature that shows a good agreement
机译:形状记忆聚合物通常在工程应用中会经历有限的变形和任意的热机械载荷条件。这激励了有限变形范围内三维本构模型的发展。在本研究中,基于带有内部变量的连续热力学原理,基于Baghani等人提出的小应变状态下的最新模型,提出了三维有限变形现象学本构模型。 (2012)。在本构模型推导中,采用了将变形梯度乘以分解为弹性和非弹性存储部分(在每个阶段)的方法。此外,采用混合规则,格林-拉格朗日应变张量与橡胶和玻璃状部分有关。在本构模型中,在冷却和加热热机械载荷过程中都得出了内部变量的演化规律。此外,我们以隐式形式提出了本构模型的时间离散形式。使用有限元方法,我们解决了几个边值问题,即钢筋和形状记忆聚合物制成的三维梁的拉伸和压缩,并研究了模型的功能及其数值对应物。预测结果与文献报道的实验数据显示出良好的一致性

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