  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.
