Uncertainty quantification tools for multiphase gas-solid flow simulations using MFIX

摘要: Computational fluid dynamics (CFD) has been widely studied and used in the scientific community industry. Various models were proposed to solve problems different areas. However, all deviate from reality. Uncertainty quantification (UQ) process evaluates overall uncertainties associated with prediction of quantities interest. In particular it studies propagation input outputs so that confidence intervals can be provided for simulation results. present work, a non-intrusive quadrature-based uncertainty (QBUQ) approach is proposed. The probability distribution function (PDF) system response then reconstructed using extended quadrature method moments (EQMOM) conditional (ECQMOM). first illustrated considering two examples: developing flow channel uncertain viscosity, an oblique shock problem upstream Mach number. error moment as number samples, accuracy required reconstruct PDF discussed. this work demonstrated by bubbling fluidized bed example application. mean particle size assumed parameter. simulated standard two-fluid model kinetic theory closures particulate phase implemented into MFIX. effect on disperse-phase volume fraction, velocities pressure drop inside are examined, PDFs three studied. Then applied parameters. Contour plots deviation solid gas provided. EQMOM appropriate kernel density functions. results compared experimental data 2013 NETL small-scale