In the last decades the utilization of shape-memory materials (SMM) has rapidly evolved from academic and niche applications to the mass production of components in several fields, e.g., aeronautical, biomedical, robotic, and earthquake engineering [1]. The continuing demand for SMMs motivates the improvement of constitutive models to accurately reproduce material response as well as the efficient incorporation of modern computer design and analysis tools into the development of innovative applications to reduce the number of expensive and time-consuming experimental campaigns.
The aim of the present talk is to propose a theoretical and numerical framework for the effective and user-friendly simulation of devices based on SMMs, focusing in particular on shape-memory alloys and polymers. The talk firstly presents the latest results concerning the phenomenological modeling of shape-memory alloys [2]. A robust and efficient numerical implementation is proposed to solve realistic boundary-value problems of high modeling complexity and it is validated through the results of performed experimental investigations. Then, some recent modeling developments for shape-memory polymers [3] are presented, together with a final discussion of future perspectives. The results show the potential use of the proposed framework for the computer-based design of existing and/or novel devices.
References :
[1] Sun, L., Huang, W.M., Ding, Z., Zhao, Y., Wang, C.C., Purnawali, H. and Tang, C. Stimulus-responsive shape memory materials : A review. Materials and Design, 33:577-640 (2012).
[2] Auricchio, F., Bonetti, E., Scalet, G. and Ubertini, F. Theoretical and numerical modeling of shape memory alloys accounting for multiple phase transformations and martensite reorientation. International Journal of Plasticity, 59:30-54 (2014).
[3] Boatti, E., Scalet, G., and Auricchio, F. A three-dimensional finite-strain phenomenological model for shape-memory polymers : formulation, numerical simulations, and comparison with experimental data. International Journal of Plasticity, 83:153-177 (2016).
