Engineering Analysis of Stochastic Mechanics for Nuclear Power Plants at Westinghouse
The design and analysis, as well as the operations and maintenance (O&M), of nuclear power plants involves the accumulation and evaluation of large heterogeneous data sets which have implications to both plant safety and financial performance. This heterogeneity is manifested in the multiplicity of physics, time scales, and general data structure. Uncertainty pervades such data sets thus rendering nondeterministic engineering analysis and companion computational mechanics methods of high importance. This presentation highlights two specific successful projects within which Westinghouse has made value-added use of large data sets combined with analytics methods and uncertainty quantification (UQ).
Gregory Banyay, P.E., is a Principal Engineer in the Global Technology Office at Westinghouse Electric Company where he has worked since 2010 with a focus on computational mechanics, flow-induced vibration, and probabilistic data analysis methods applied to nuclear power plant technologies. Prior to joining Westinghouse, Greg worked for Parker Hannifin in the Aerospace industry. Greg has earned B.S. and M.S. degrees in Mechanical Engineering from Ohio University, and is currently a Ph.D. candidate in Civil & Environmental Engineering at the University of Pittsburgh, with planned graduation in April.