Plastic deformation occurs when a material is loaded beyond the elastic limit, and it is especially difficult to predict because it is highly non-linear and history dependent. We are currently using the models for yield surface distortion to try to improve predictions of multi-axial ratcheting, the accumulation of plastic deformation due to cyclic plastic loading. Predicting ratcheting is especially difficult because any small errors in one cycle accumulate over several cycles, and predicting ratcheting is especially important to foresee and prevent material failure in any structure subject to earthquakes, extreme weather, and/or cyclic mechanical and thermal service conditions.

Magnetic shape memory alloys (MSMAs) can undergo a recoverable deformation in the presence of a magnetic field or mechanical load as internal martensitic variants reorient. The deformation can be recovered by a magnetic field and/or mechanical load in an orthogonal direction. Our group has developed several thermodynamic based models to predict the magneto-mechanical behavior of MSMAs, the most recent of which is fully three-dimensional. While this model predicts general trends, it is lacking accuracy, so we are currently trying to decipher what the model is lacking and how it can be improved. This research is being performed in conjunction with the Multifunctional Materials and Adaptive Systems Lab.

Artificial muscle systems have the potential to impact industries ranging from advanced prosthesis to miniature robotics. Our group is currently developing and experimentally validating analytic models, manufacturing processes, and applications of twisted polymer actuators as well as new actuators we developed called "cavatappi". The challenges associated with developing this model include the asymmetric nature of the material, the complex twisted geometry, and temperature and load variations. This research is being performed in conjunction with the Dynamic and Active Systems Lab (DASL).