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Thermomechanical constitutive modelling of shape memory polymer including continuum functional and mechanical damage effects
Author(s) -
Amir Shojaei,
Guoqiang Li
Publication year - 2014
Publication title -
proceedings of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
eISSN - 1471-2946
pISSN - 1364-5021
DOI - 10.1098/rspa.2014.0199
Subject(s) - viscoplasticity , materials science , creep , deformation (meteorology) , shape memory polymer , mechanics , damage mechanics , constitutive equation , nonlinear system , structural engineering , phenomenological model , stress relaxation , composite material , finite element method , shape memory alloy , physics , engineering , quantum mechanics
A multi-mechanism-based phenomenological model is developed within the finite deformation kinematics framework for capturing the thermomechanical behaviour of shape memory polymers (SMPs) both during programming and in service. Particularly, the damage mechanisms in SMPs are studied within the continuum damage mechanics (CDMs) framework in which they are classified intomechanical orphysical damage, induced during service condition, e.g. fatigue andfunctional damage induced during thermomechanical cycles, e.g. shape recovery loss. Statistical mechanics is incorporated to describe the initiation and saturation of these deformation mechanisms. The main advantage of the presented viscoplastic model, comparing to the existing counterparts, is its simplicity by minimizing the need for curve fitting, and capability in simulating the nonlinear stress–strain behaviour of amorphous, crystalline or semicrystalline SMPs. The developed viscoplastic CDM model takes into account several distinctive deformation mechanisms involved in the thermomechanical cycle of SMPs, including glass transition loss events, temperature-dependent material properties, stress relaxation, shape recovery transient events and damage effects. The established model correlates well with the experimental results and its computational capabilities provide material designers with a powerful design tool for future SMP applications.

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