Bayesian calibration of volume averaged rans model parameters for turbulent flow simulations over porous materials

Abstract

A mathematical tool developed for calibrating model parameters of VRANS equations for modeling flows through porous medium is evaluated. A total of six parameters are introduced in a volume averaged RANS model to appropriately scale the impact of porous media on the overall flow. The calibration tool has been tested for a generic channel case and the results are compared with DNS simulations of the same. The results show a good agreement between the parameters obtained from the tool and a manual calibration documented previously.