Print Email Facebook Twitter Data-driven RANS closures for three-dimensional flows around bluff bodies Title Data-driven RANS closures for three-dimensional flows around bluff bodies Author Huijing, Jasper P. (Student TU Delft) Dwight, R.P. (TU Delft Aerodynamics) Schmelzer, M. (TU Delft Aerodynamics) Date 2021 Abstract In this short note we apply the recently proposed data-driven RANS closure modelling framework of Schmelzer et al.(2020) to fully three-dimensional, high Reynolds number flows: namely wall-mounted cubes and cuboids at Re=40,000, and a cylinder at Re=140,000. For each flow, a new RANS closure is generated using sparse symbolic regression based on LES or DES reference data. This new model is implemented in a CFD solver, and subsequently applied to prediction of the other flows. We see consistent improvements compared to the baseline k−ω SST model in predictions of mean-velocity in complete flow domain. Subject Data-driven modellingIncompressible flowMachine learningReynolds averaged Navier-StokesSparse symbolic regression To reference this document use: http://resolver.tudelft.nl/uuid:91052a1f-7b05-429e-aa51-3631e99c4f1b DOI https://doi.org/10.1016/j.compfluid.2021.104997 ISSN 0045-7930 Source Computers & Fluids, 225 Part of collection Institutional Repository Document type journal article Rights © 2021 Jasper P. Huijing, R.P. Dwight, M. Schmelzer Files PDF 1_s2.0_S0045793021001638_main.pdf 1.05 MB Close viewer /islandora/object/uuid:91052a1f-7b05-429e-aa51-3631e99c4f1b/datastream/OBJ/view