Applying Bayesian optimization with Gaussian process regression to computational fluid dynamics problems Y Morita, S Rezaeiravesh, N Tabatabaei, R Vinuesa, K Fukagata, ... Journal of Computational Physics 449, 110788, 2022 | 86 | 2022 |
A library for wall-modelled large-eddy simulation based on OpenFOAM technology T Mukha, S Rezaeiravesh, M Liefvendahl Computer Physics Communications 239, 204-224, 2019 | 86 | 2019 |
Effect of grid resolution on large eddy simulation of wall-bounded turbulence S Rezaeiravesh, M Liefvendahl Physics of Fluids 30 (5), 2018 | 58 | 2018 |
Assessment of uncertainties in hot-wire anemometry and oil-film interferometry measurements for wall-bounded turbulent flows S Rezaeiravesh, R Vinuesa, M Liefvendahl, P Schlatter European Journal of Mechanics-B/Fluids 72, 57-73, 2018 | 43 | 2018 |
Systematic study of accuracy of wall-modeled large eddy simulation using uncertainty quantification techniques S Rezaeiravesh, T Mukha, M Liefvendahl Computers & Fluids 185, 34-58, 2019 | 41 | 2019 |
Direct numerical simulations of turbulent pipe flow up to J Yao, S Rezaeiravesh, P Schlatter, F Hussain Journal of Fluid Mechanics 956, A18, 2023 | 30 | 2023 |
On numerical uncertainties in scale-resolving simulations of canonical wall turbulence S Rezaeiravesh, R Vinuesa, P Schlatter Computers & Fluids 227, 105024, 2021 | 30 | 2021 |
An uncertainty-quantification framework for assessing accuracy, sensitivity, and robustness in computational fluid dynamics S Rezaeiravesh, R Vinuesa, P Schlatter Journal of Computational Science 62, 101688, 2022 | 19 | 2022 |
On grid resolution requirements for LES of wall-bounded flows S Rezaeiravesh, M Liefvendahl, C Fureby ECCOMAS Congress 2016, June 5–10, Crete, Greece, 7454-7465, 2016 | 19 | 2016 |
Grid construction strategies for wall-resolving large eddy simulation and estimates of the resulting number of grid points S Rezaeiravesh, M Liefvendahl Technical Report 2017-005, 2017 | 11 | 2017 |
UQit: A Python package for uncertainty quantification (UQ) in computational fluid dynamics (CFD) S Rezaeiravesh, R Vinuesa, P Schlatter Journal of Open Source Software 6 (60), 2871, 2021 | 10 | 2021 |
Advanced modeling of high speed turbulent reacting flows Z Li, A Banaeizadeh, S Rezaeiravesh, F Jaberi 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and …, 2012 | 10 | 2012 |
Formulation of a wall model for LES in a collocated finite-volume framework M Liefvendahl, T Mukha, S Rezaeiravesh Tech. Rep. 2017-001, 2017 | 9 | 2017 |
Estimating uncertainty of low-and high-order turbulence statistics in wall turbulence S Rezaeiravesh, D Xavier, R Vinuesa, J Yao, F Hussain, P Schlatter 12th International Symposium on Turbulence and Shear Flow Phenomena, TSFP …, 2022 | 7 | 2022 |
A statistics toolbox for turbulent pipe flow in Nek5000 S Rezaeiravesh, R Vinuesa, P Schlatter KTH Royal Institute of Technology, 2019 | 7 | 2019 |
Efficient prediction of turbulent flow quantities using a Bayesian hierarchical multifidelity model S Rezaeiravesh, T Mukha, P Schlatter Journal of Fluid Mechanics 964, A13, 2023 | 6 | 2023 |
An OpenFOAM library for wallmodelled Large-Eddy Simulation T Mukha, S Rezaeiravesh, M Liefvendahl 12th OpenFOAM Workshop, 2017 | 5 | 2017 |
Towards Multifidelity Models with Calibration for Turbulent Flows S Rezaeiravesh, R Vinuesa, P Schlatter 14th WCCM-ECCOMAS Congress 2020 800, 2021 | 4 | 2021 |
A-priori study of wall modeling in large eddy simulation S Rezaeiravesh, T Mukha, M Liefvendahl ECFD 2018, June 11–15, Glasgow, UK, 2018 | 4 | 2018 |
On the potential of transfer entropy in turbulent dynamical systems D Massaro, S Rezaeiravesh, P Schlatter Scientific Reports 13 (1), 22344, 2023 | 3 | 2023 |