(74d) CFD-DEM Simulations of Bubbling Fluidization: Global Sensitivity Analysis for the Identification and Validation of Critical Model Parameters
For the bubbling fluidization of Geldart B particles, a large parametric space is initially considered including model, operating and numerical parameters in CFD-DEM simulations. The set of insensitive parameters is first dicounted using MOAT (Morris One-At-Time) screening analysis  and thorough sensitivity analysis is then performed to quantify the dominant and coupled interactions of the remaining sensitive parameters. Numerical experiments are designed using Latin-hypercube based sampling, optimized to ensure sampling uniformity in the parameteric space. Critical parameters are identified using response surface methodology based on bubble statistics and solids circulation metrics as quantities of interest  and these parameters are validated using experimental measurements in a thin rectangular pulsating fluidized bed. All numerical CFD-DEM simulations are conducted using open-source software MFiX and bubble statistics are computed using MS3DATA . This is one of the first large-scale parametric studies of CFD-DEM simulations and the developed framework will guide the selection and validation of critical sub-models in other applications of particle-gas flows.
 F. Campolongo, J. Cariboni and A. Saltelli, An effective screening design for the sensitivity analysis of large models. Environmental Modelling and Software 22:1509-1518, 2007
 A. Bakshi, C. Altantzis, R.B. Bates and A.F. Ghoniem, EulerianâEulerian simulation of dense solidâgas cylindrical fluidized beds: Impact of wall boundary condition and drag model on fluidization. Powder Technology 277: 47â62, 2015
 A. Bakshi, C. Altantzis, R.B. Bates and A.F. Ghoniem, Multiphase-flow Statistics using 3D Detection and Tracking Algorithm (MS3DATA): Methodology and application to large-scale fluidized beds. Chemical Engineering Journal, 293: 355-364, 2016