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Analysis of intelligent hinged shell structures: deployable deformation and shape memory effect

机译:智能铰链壳体结构分析:可展开变形和形状记忆效应

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Shape memory polymers (SMPs) are a class of intelligent materials with the ability to recover their initial shape from a temporarily fixable state when subjected to external stimuli. In this work, the thermo-mechanical behavior of a deployable SMP-based hinged structure is modeled by the finite element method using a 3D constitutive model with shape memory effect. The influences of hinge structure parameters on the nonlinear loading process are investigated. The total shape memory of the processes the hinged structure goes through, including loading at high temperature, decreasing temperature with load carrying, unloading at low temperature and recovering the initial shape with increasing temperature, are illustrated. Numerical results show that the present constitutive theory and the finite element method can effectively predict the complicated thermo-mechanical deformation behavior and shape memory effect of SMP-based hinged shell structures.
机译:形状记忆聚合物(SMP)是一类智能材料,能够在受到外部刺激时从暂时固定的状态恢复其初始形状。在这项工作中,使用具有形状记忆效应的3D本构模型,通过有限元方法对可展开的基于SMP的铰接结构的热机械行为进行建模。研究了铰链结构参数对非线性加载过程的影响。示出了铰接结构经历的过程的总形状记忆,包括高温下的载荷,随载荷而降低的温度,低温下的载荷以及随着温度升高的初始形状的恢复。数值结果表明,本构理论和有限元方法可以有效地预测基于SMP的铰接壳体结构的复杂热机械变形行为和形状记忆效果。

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