Data-driven RANS closures for wind turbine wakes under neutral conditions
type: Item
instance of: scholarly article
title: Data-driven RANS closures for wind turbine wakes under neutral conditions
author: Julia Steiner
author: Richard P. Dwight
author: Axelle Viré
published in: Computers and Fluids
publication date: 2022-01-26T00:00:00Z
full work available at URL: https://arxiv.org/abs/2009.10816
Mathematics Subject Classification ID: 76-XX
zbMATH DE Number: 7464437
zbMATH Keywords: turbulence modeling
zbMATH Keywords: CFD
zbMATH Keywords: machine learning
zbMATH Keywords: dta-driven modeling
zbMATH Keywords: wake modeling
zbMATH Keywords: elastic net
describes a project that uses: SOWFA
MaRDI profile type: Publication
OpenAlex ID: W3214153552
cites work: Flow Structure and Turbulence in Wind Farms
cites work: A survey of modelling methods for high-fidelity wind farm simulations using large eddy simulation
cites work: Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
cites work: Some Recent Developments in Turbulence Closure Modeling
cites work: Turbulence Modeling in the Age of Data
cites work: Stochastic turbulence modeling in RANS simulations via multilevel Monte Carlo
cites work: Data-driven modelling of the Reynolds stress tensor using random forests with invariance
cites work: A paradigm for data-driven predictive modeling using field inversion and machine learning
cites work: A novel evolutionary algorithm applied to algebraic modifications of the RANS stress-strain relationship
cites work: Discovering governing equations from data by sparse identification of nonlinear dynamical systems
cites work: Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling
cites work: Data-driven RANS closures for three-dimensional flows around bluff bodies
cites work: A methodology to evaluate statistical errors in DNS data of plane channel flows
cites work: Subgrid-scale stress modelling based on the square of the velocity gradient tensor
cites work: Designing large-eddy simulation of the turbulent boundary layer to capture law-of-the-wall scaling
cites work: The numerical computation of turbulent flows
cites work: A more general effective-viscosity hypothesis
cites work: Regularization and Variable Selection Via the Elastic Net
cites work: A graph‐theoretic definition of a sociometric clique†
DOI: 10.1016/J.COMPFLUID.2021.105213
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description: scientific article; zbMATH DE number 7464437