Our work is in system identification, Bayesian methods, structural health monitoring, multi-fidelity modeling, model calibration and validation, and surrogate modeling. See all publications on Google Scholar.
This work presents an innovative framework for the simulation of stable pit growth that accounts for the material microstructure in the computational model to investigate its effect on pit growth behavior.
Simulations of estimating the modal damping on a bridge from hour-long records of traffic loading were conducted by combining physics-based finite element modeling and signal processing.
The results of a study comparing model calibration techniques for Ogden's constitutive model that describes the hyperelastic behavior of brain tissue are presented.
Through the use of fiber optic sensing systems, strain data was collected along the cargo deck of two naval hovercraft during various maneuvers and loading conditions.
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