Data-driven RANS closures for three-dimensional flows around bluff bodies
Fluid Dynamics
2020-10-23 v1 Computational Physics
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 SST model in predictions of mean-velocity in the complete flow domain.
Cite
@article{arxiv.2010.11831,
title = {Data-driven RANS closures for three-dimensional flows around bluff bodies},
author = {Jasper P. Huijing and Richard P. Dwight and Martin Schmelzer},
journal= {arXiv preprint arXiv:2010.11831},
year = {2020}
}
Comments
Submitted Computers & Fluids