Finite-Strain Constitutive Model for Shape Memory Alloys Formulated in the Logarithmic Strain Space

Abstract This work presents a finite-strain version of an established three-dimensional constitutive model for polycrystalline shape memory alloys (SMA) that is able to account for the large deformations and rotations that SMA components may undergo. The model is constructed by applying the logarithmic strain space approach to the original small-strain model, which was formulated within the Generalized Standard Materials framework and features a refined dissipation (rate) function. Additionally, the free energy function is augmented to be more versatile in capturing the transformation kinetics. The model is implemented into finite element software. To demonstrate the model performance and validate the implementation, material parameters are fitted to the experimental data of two SMA, and two computational simulations of SMA components are conducted. The applied approach is highly flexible from the perspective of the future incorporation of other phenomena, e.g., irreversibility associated with plasticity, into the model.

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Publication Details

Journal
Shape Memory and Superelasticity
Published
2025-09-02
DOI
https://doi.org/10.1007/s40830-025-00562-9
Citations
1
Primary Topic
Shape Memory Alloy Transformations
Type
article
Field-Weighted Citation Impact
0.52

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Finite-Strain Constitutive Model for Shape Memory Alloys Formulated in the Logarithmic Strain Space

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Finite-Strain Constitutive Model for Shape Memory Alloys Formulated in the Logarithmic Strain Space

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article en
1 citations

Abstract

Abstract This work presents a finite-strain version of an established three-dimensional constitutive model for polycrystalline shape memory alloys (SMA) that is able to account for the large deformations and rotations that SMA components may undergo. The model is constructed by applying the logarithmic strain space approach to the original small-strain model, which was formulated within the Generalized Standard Materials framework and features a refined dissipation (rate) function. Additionally, the free energy function is augmented to be more versatile in capturing the transformation kinetics. The model is implemented into finite element software. To demonstrate the model performance and validate the implementation, material parameters are fitted to the experimental data of two SMA, and two computational simulations of SMA components are conducted. The applied approach is highly flexible from the perspective of the future incorporation of other phenomena, e.g., irreversibility associated with plasticity, into the model.

Shape Memory and SuperelasticityVol. 11(4)
Charles University (CZ), Czech Academy of Sciences, Institute of Information Theory and Automation (CZ), Czech Academy of Sciences, Institute of Thermomechanics (CZ), Czech Technical University in Prague (CZ), University of West Bohemia in Pilsen (CZ)
European Commission, Grantová Agentura České Republiky
Openalex Percentile: Top 34%
Shape Memory Alloy Transformations
0.52
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