Data-driven RANS closures for three-dimensional flows around bluff bodies

Journal article (2021)

Authors

R.P. Dwight Aerodynamics - Aerospace Engineering
M. Schmelzer Aerodynamics - Aerospace Engineering
Research Group
Aerodynamics (Aerospace Engineering) (TU Delft)
Copyright: © 2021 Jasper P. Huijing, R.P. Dwight, M. Schmelzer
DOI: https://doi.org/10.1016/j.compfluid.2021.104997
More Info
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Published Date

2021

Language

English

Faculty

Aerospace Engineering

Department

Flow Physics and Technology

Research Group

Aerodynamics

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.