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.
Authors
- Michal Knapek (ORCID: https://orcid.org/0000-0001-7079-2523)
- Petr Sedlák (ORCID: https://orcid.org/0000-0002-0700-902X)
- Martin Horák (ORCID: https://orcid.org/0000-0001-8537-5984)
- Alexej Moskovka (ORCID: https://orcid.org/0000-0003-0091-151X)
- Jan Valdman (ORCID: https://orcid.org/0000-0002-6081-5362)
- Miloš Janeček (ORCID: https://orcid.org/0000-0003-4447-9810)
- Miroslav Frost (ORCID: https://orcid.org/0000-0001-6044-3442)
Institutions
- 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)
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
Funders
- European Commission
- Grantová Agentura České Republiky