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P. S. Volpiani
P. S. Volpiani
ONERA - The French Aerospace Lab.
Email verificata su onera.fr
Titolo
Citata da
Citata da
Anno
Effects of a nonadiabatic wall on supersonic shock/boundary-layer interactions
PS Volpiani, M Bernardini, J Larsson
Physical review fluids 3 (8), 083401, 2018
692018
Data-driven compressibility transformation for turbulent wall layers
PS Volpiani, PS Iyer, S Pirozzoli, J Larsson
Physical Review Fluids 5 (5), 052602, 2020
552020
Large eddy simulation of a turbulent swirling premixed flame coupling the TFLES model with a dynamic wrinkling formulation
PS Volpiani, T Schmitt, D Veynante
Combustion and Flame 180, 124-135, 2017
532017
Effects of a nonadiabatic wall on hypersonic shock/boundary-layer interactions
PS Volpiani, M Bernardini, J Larsson
Physical Review Fluids 5 (1), 014602, 2020
482020
Large eddy simulation of explosion deflagrating flames using a dynamic wrinkling formulation
PS Volpiani, T Schmitt, O Vermorel, P Quillatre, D Veynante
Combustion and Flame 186, 17-31, 2017
382017
Comparison of subgrid-scale viscosity models and selective filtering strategy for large-eddy simulations
G Aubard, P Stefanin Volpiani, X Gloerfelt, JC Robinet
Flow, turbulence and combustion 91, 497-518, 2013
362013
A posteriori tests of a dynamic thickened flame model for large eddy simulations of turbulent premixed combustion
PS Volpiani, T Schmitt, D Veynante
Combustion and Flame 174, 166-178, 2016
332016
Machine learning-augmented turbulence modeling for RANS simulations of massively separated flows
PS Volpiani, M Meyer, L Franceschini, J Dandois, F Renac, E Martin, ...
Physical Review Fluids 6 (6), 064607, 2021
312021
Numerical strategy to perform direct numerical simulations of hypersonic shock/boundary-layer interaction in chemical nonequilibrium
PS Volpiani
Shock Waves 31 (4), 361-378, 2021
162021
Neural network-based eddy-viscosity correction for RANS simulations of flows over bi-dimensional bumps
PS Volpiani, RF Bernardini, L Franceschini
International Journal of Heat and Fluid Flow 97, 109034, 2022
52022
Modele de plissement dynamique pour la simulation aux grandes échelles de la combustion turbulente prémelangée
P Stefanin Volpiani
Université Paris-Saclay (ComUE), 2017
52017
Investigating the effects of non-adiabatic walls on shock/boundary-layer interaction at low Reynolds number using direct numerical simulations
PS Volpiani, M Bernardini, J Larsson
2018 AIAA Aerospace Sciences Meeting, 1806, 2018
42018
Comparison of different data-assimilation approaches to augment RANS turbulence models
AS Cato, PS Volpiani, V Mons, O Marquet, D Sipp
Computers & Fluids 266, 106054, 2023
32023
Computational investigation of real fluid effects in cryogenic laminar premixed CH4–O2 flames
A Gopal, PS Volpiani, S Yellapantula, J Larsson
The Journal of Supercritical Fluids 168, 105045, 2021
32021
Using large-eddy simulations to design a new hypersonic shock/boundary-layer interaction experiment
PS Volpiani, A Wagner, M Bernardini, J Larsson
AIAA Scitech 2019 Forum, 0098, 2019
32019
Comparison of subgrid scale viscosity models and selective filtering strategy
G Aubard, P Stefanin Volpiani, X Gloerfelt, JC Robinet
ETMM9: 9th International ERCOFTAC Symposium on Engineering Turbulence …, 2012
22012
A near-wall eddy viscosity for compressible turbulent flows based on velocity transformation with application to wall models
PS Iyer, PS Volpiani, J Larsson, S Pirozzoli, MR Malik
APS Division of Fluid Dynamics Meeting Abstracts, B11. 007, 2019
12019
The Effects of Strong Wall Cooling on Supersonic and Hypersonic Shock/Boundary-Layer Interactions
J Larsson, PS Volpiani
Tech. rep., Maryland Univ College Park College Park United States, 2017
12017
Are random forests better suited than neural networks to augment RANS turbulence models?
PS Volpiani
International Journal of Heat and Fluid Flow 107, 109348, 2024
2024
Aircraft Simulations Using the New CFD Software from ONERA, DLR, and Airbus
P Stefanin Volpiani, JB Chapelier, A Schwöppe, J Jägersküpper, ...
Journal of Aircraft, 1-13, 2024
2024
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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