Fullmer, W. D.; Webber, J.; VanEssendelft, D. "Parameter Calibration and Uncertainty Quantification via Surrogate Model Optimization for CFD-DEM Modeling of a Small-Scale Slugging Bed"; NETL-TRS-20-2018; NETL Technical Report Series; U.S. Department of Energy, National Energy Technology Laboratory: Morgantown, WV, 2018; p 24. DOI: 10.18141/1479089.
Abstract: An optimization toolset (OT) was recently developed to help facilitate computational fluid dynamics (CFD)-aided design processes. The basic workflow of the OT is: sweep a parameter space with a Design of Experiments (DOE), run CFD simulations at DOE points, create Response Surface Model (RSM) to act as a surrogate for the full CFD model, and optimize the surrogate model.
Keywords: Parameter Calibration and Uncertainty Quantification via Surrogate Model Optimization for CFD-DEM Modelling of a Small-Scale Slugging Bed
