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Identification and interpretation of material parameters of a shape memory alloy (SMA) model

机译:形状记忆合金(SMA)模型材料参数的识别与解释

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The thermomechanical behavior of Shape Memory Alloys (SMAs) is described by many micromechanical and phenomenological models. The first ones have material parameters whose physical meaning is based on the crystallography of the phase transformation related to the studied alloy. In contrast, phenomenological models often have material parameters whose physical meaning is not obvious and that makes them difficult to identify, some of which are based on mathematical considerations. In this paper, we propose to use the formulation of the phenomenological model of Chemisky et al., and to consider the particular case of a superelastic SMA. In this case, the constitutive equation should be easily expressed analytically through the strain tensor as a function of applied load direction and material parameters. The behavior is then characterized by a complete and proportional loading. This analytical model contains 7 material parameters, 1 related to the elasticity and 6 to the phase transformation. Based on several isothermal tensile tests at various temperatures, material parameters of this model are identified using the Levenberg-Marquardt algorithm and an analytical calculation of the sensitivity matrix. Their physical meaning and their influence on the thermomechanical behavior of the studied alloy are highlighted and discussed.
机译:通过许多微机械和现象学模型描述了形状记忆合金(SMA)的热机械行为。第一个具有材料参数,其物理含义基于与所研究的合金相关的相变的晶体学。相比之下,现象学模型通常具有重要的参数,其物理意义不明显,使它们难以识别,其中一些基于数学考虑因素。在本文中,我们建议使用Chemisty等人的现象学模型的制剂,并考虑超弹性SMA的特定情况。在这种情况下,应通过施加负载方向和材料参数的函数来分析地通过应变张量分析构成方程。然后,该行为的特征是完整和比例的加载。该分析模型包含7个材料参数,1与弹性和6个相位变换有关。基于各种温度的几种等温拉伸试验,使用Levenberg-Marquardt算法和灵敏度矩阵的分析计算来识别该模型的材料参数。突出显示并讨论了它们对研究合金的热机械行为的身体意义及其影响。

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