ME Department Seminar: Nicolas Zabaras (Cornell University)

11:00 am on Friday, March 8, 2013
RM 245
Uncertainty Quantification and Predictive Modeling in Heterogeneous Media: Predictive modeling of physical processes in heterogeneous media requires innovations in mathematical and computational thinking. While multiscale approaches have been successful in modeling the effects of fine scales to macroscopic response, a significant grant challenge remains in understanding the effects of topological uncertainties in characterization of properties. We address major limitations in physical modeling in heterogeneous media including development of data-driven models of stochastic input, the curse of stochastic dimensionality and development of inexpensive surrogate stochastic models. A number of examples will be discussed including deformation of random polycrystalline materials and thermal/flow transport in random media.