A New Constitutive Modeling Approach for Shape Memory Alloys

C. Landis, S. Kyriakides, Dongjie Jiang
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Abstract

A new thermomechanical constitutive modeling approach for shape memory alloys (SMAs) that undergo a martensite to austenite phase transformation and the associated pseudoelastic and shape memory responses is presented. The novelty of this new formulation is that a single transformation surface is implemented in order to capture the forward and reverse phase transformations, as well as the reorientation and detwinning of the martensite phase. The framework is akin to the usual flow theory plasticity with kinematic hardening, however in addition to the transformation strain there is also a transformation entropy that is directly related to the martensite volume fraction appearing in prior theories. A transformation surface in effective stress and effective temperature space is introduced and an associated flow rule governs the evolution of the transformation strain and entropy. In order to capture the multitude of SMA behaviors, a transformation potential function is introduced in transformation strain and entropy space for the derivation of the back stresses and back temperatures that define the kinematic hardening behavior. It is this potential function that governs all of the important behaviors within the model. After the description of the general theory, specific forms for the transformation surface and the transformation potential are devised and results for the behaviors captured by the model are provided for a range of thermomechanical loadings. The model is then implemented in finite element calculations to investigate the structural response of shape memory alloy tubes, bars, and beams.
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形状记忆合金本构建模新方法
提出了一种新的马氏体到奥氏体相变的形状记忆合金的热力学本构建模方法。这种新配方的新颖之处在于,为了捕捉马氏体相的正向和反向相变,以及重定向和脱孪生,实现了单一的转变表面。该框架类似于通常的运动硬化流动塑性理论,但是除了相变应变之外,还有一个与先前理论中出现的马氏体体积分数直接相关的相变熵。引入了有效应力和有效温度空间中的相变曲面,并推导了相变应变和熵的演化规律。为了捕获多种SMA行为,在转换应变和熵空间中引入了转换势函数,用于推导定义运动硬化行为的背应力和背温度。正是这个潜在的函数控制着模型中所有重要的行为。在对一般理论进行描述之后,设计了转换面和转换势的具体形式,并给出了一系列热机械载荷下模型所捕获的行为的结果。然后将该模型应用于有限元计算,以研究形状记忆合金管、杆和梁的结构响应。
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