Khalid M. Mosalam

Mosalam’s primary research activities focus on modeling the structural response of reinforced concrete (RC), masonry, and wood structural systems subjected to severe loading conditions due to major earthquakes, blasts or wind gusts. The common feature of these structural systems is the complexity of the response due to nonlinear quasi-brittle material behavior. Moreover, interaction between dissimilar structural components adds to the complexity of the system response. Reliable and efficient computational models supplemented by experimental evidences for accurate prediction of the structural response and for development of retrofitting techniques are the ultimate goal of his research. Currently, Mosalam expanded his research to include activities related to energy efficiency in buildings and use of machine learning tools for structural; health monitoring. Mosalam's interest also include developing tools for resilient and sustainable holistic designs of infrastructure systems. In support of his research activities, Mosalam has conducted research in the past 21 years with funding from NSF, Caltrans, FEMA, Intel, US-DOE, NRF-Singapore, TBSI, and several private industries.

Overall study program on RC building systems with URM infill walls



Overall study program on progressive collapse modeling of RC building systems



Overall study program on next generation hybrid simulations



Overall study program on bridge in-span hinge structural behavior and details



Overall study program on Building Efficiency and Sustainability in the Tropics (BEST)



Overall of nees@berkeley equipment site activities



Overall of probabilistic seismic assessment: PEER formulation



Overall study of effect of vertical acceleration on shear demand and capacity of RC bridge columns



Overall study of structural health monitoring