Integral wall model for large eddy simulations of wall-bounded turbulent flows
By Xiang I. A. Yang, J. Sadique, Rajat Mittal, Charles Meneveau. 2015
245 citations recorded by the source corpus.
Subfields: Computational Mechanics, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/1136de2d9bc1d1fd4bd5c652b8881f28852560e3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Paola Cinnella
- Heng Xiao
- Iván Bermejo-Moreno
- Julien Bodart
- Rob Stoll
- M. Calaf
- William Anderson
- Johan Larsson
In Environmental Engineering
- Iván Bermejo-Moreno
- Julien Bodart
- Rob Stoll
- Paola Cinnella
- Heng Xiao
- M. Calaf
- Charles Meneveau
- Johan Larsson
Citations in the corpus
- Large-Eddy Simulation of the Atmospheric Boundary Layer (2020, background): “Efforts to develop better models have been progressing including those that attempt to improve the representation of unresolved features (Anderson and Meneveau 2011) and non-equilibrium models that use the integral form of the boundary-layer equations (Yang et al. 2015).”
- Large eddy simulation with modeled wall-stress: recent progress and future directions (2016, background): “More recently, Yang et al. (2015) assumed a parametrized shape function for the velocity in the wall-model, and then analytically integrated the momentum equation in the vertical direction.”
- Quantification of model uncertainty in RANS simulations: A review (2018, methodology): “Such approaches include hybrid RANS/LES models [4,5] and wall-modeled LES [6–9], among others.”
- Exponential roughness layer and analytical model for turbulent boundary layer flow over rectangular-prism roughness elements (2016, methodology): “A validation of particular interest can be found in Yang et al. (2015), where simulation results for channel flow with the bottom wall mounted with cubes have been compared with experimental measurements, showing good agreement in the predicted mean velocity distribution between the cubes.”