Abstract
In this paper, a new phase transformation mechanism in SMA computational model has been proposed and validated. The main purpose for developing this model is to reduce conventional models'systematic error due to their fixed shape transformation hardening functions. The new model adopted a modified version of logistic sigmoid function to obtain flexibility. Material level identification and structural level prediction have been conducted. Both validations show better results than the conventional models. Further applications of this model are expected in the future.[This abstract is not included in the PDF]
