An energy-based material model for the simulation of shape memory alloys under complex boundary value problems

Shape memory alloys are remarkable ‘smart’ materials used in a broad spectrum of applications, ranging from aerospace to robotics, thanks to their unique thermomechanical coupling capabilities. Given the complex properties of shape memory alloys, which are largely influenced by thermal and mechanica...

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Bibliographic Details
Published in:Computer methods in applied mechanics and engineering 2024-09, Vol.429, p.117134, Article 117134
Main Authors: Erdogan, Cem, Bode, Tobias, Junker, Philipp
Format: Article
Language:English
Subjects:
Finite element method
Phase transformation
Shape memory alloy
Thermo-mechanical coupling
Variational modeling
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Summary:Shape memory alloys are remarkable ‘smart’ materials used in a broad spectrum of applications, ranging from aerospace to robotics, thanks to their unique thermomechanical coupling capabilities. Given the complex properties of shape memory alloys, which are largely influenced by thermal and mechanical loads, as well as their loading history, predicting their behavior can be challenging. Consequently, there exists a pronounced demand for an efficient material model to simulate the behavior of these alloys. This paper introduces a material model rooted in Hamilton’s principle. The key advantages of the presented material model encompass a more accurate depiction of the internal variable evolution and heightened robustness. As such, the proposed material model signifies an advancement in the realistic and efficient simulation of shape memory alloys.
ISSN:0045-7825
1879-2138
DOI:10.1016/j.cma.2024.117134