Karren started a Dean’s Research Award project under Dr. Cruz in January 2017, and continued her work throughout the summer. During this time, she was involved in two research projects. Her research focused on finite element modelling of simple reinforced concrete structures, using the Mazar’s model of concrete as implemented in the finite element analysis code OOFEM. Karren also assisted in the development of a database of experiments performed on fully grouted masonry walls that can be analyzed using artificial neural networks.
Karren conducted research to develop more accurate models for predicting the in-plane shear strength of partially grouted masonry shear walls, using stepwise regression and model trees. By analyzing data from 292 experimental tests, she identified key influencing variables and proposed five new models that significantly outperformed existing code- and research-based equations.
Thesis: Statistical Prediction Methods for the In-Plane Shear Strength of Partially Grouted Masonry Walls
Supervisor: Dr. Carlos “Lobo” Cruz-Noguez