Dr. Eunshin Byon is an Assistant Professor in the Department of Industrial and Operations Engineering at the University of Michigan, Ann Arbor, USA. She received her Ph.D. degree in Industrial and Systems Engineering from the Texas A&M University, College Station, USA, and joined the University of Michigan in 2011.
Importance sampling has been used to improve the efficiency of simulations where the simulation output is uniquely determined, given a fixed input. We extend the theory of importance sampling to estimate a system’s reliability with stochastic simulations. Thanks to the advance of computing power, stochastic computer models are employed in many applications to represent a complex system behavior. More
To quantify and minimize the uncertainties in the design and operational stage, we model and analyze the dependency of wind turbine responses (e.g., power generation, loads and condition monitoring sensor measurement) on operating conditions and the interactions among turbines. Our research entails several areas… More
Graduate Seminar: Modeling Cyclone Risk and Seismic Building Vulnerability in Central America and the Caribbean
This seminar will introduce two research projects applied to the Country Disaster Risk Profiles initiative of the World Bank: a hurricane hazard model and a probabilistic seismic vulnerability tool (PSVT). The windstorm hazard model is a novel approach which yields characterizations of windstorm activity (rate of occurrence, trajectory and spatial wind field) in the Central American region for use in natural risk assessment. The generative mechanism of storms is formulated as a superposition of stochastic processes whose joint opera;on yields synthetic cyclones activity in the region. The outcomes of the model match observed data acceptably well. A brief reference to the risk estimation procedure will be offered. Vulnerability functions estimate building damage caused by an acting hazard intensity. The PSVT is a software tool for creating vulnerability functions for seismic risk analysis. The approach estimates structural response of user-defined models subjected to ground acceleration signals integrating the equations of motion. Ground signals are realizations of random process models of site–specific ground motion hazard.
Speaker: Dr. Gonzalo Pita
Adjunct Assistant Scientist, Department of Civil Engineering, Johns Hopkins University; Sr. Natural Risk and Vulnerability Specialist, The World Bank