Evaluation of ensemble methods for quantifying uncertainties in steady-state CFD applications with small ensemble sizes
Xinlei Zhang, Heng Xiao, Thomas Gomez, Olivier Coutier-Delgosha
Topics & Concepts
Ensemble Kalman filterData assimilationComputational fluid dynamicsUncertainty quantificationComputer scienceEnsemble forecastingEnsemble learningKalman filterMarkov chain Monte CarloBayesian probabilityReynolds-averaged Navier–Stokes equationsParticle filterMonte Carlo methodAlgorithmMathematical optimizationMathematicsMachine learningExtended Kalman filterArtificial intelligenceStatisticsPhysicsMechanicsMeteorologyReservoir Engineering and Simulation MethodsProbabilistic and Robust Engineering DesignNuclear Engineering Thermal-Hydraulics