Direct numerical simulation of a turbulent jet impinging on a heated wall T Dairay, V Fortune, E Lamballais, LE Brizzi Journal of Fluid Mechanics 764, 362-394, 2015 | 121 | 2015 |
Numerical dissipation vs. subgrid-scale modelling for large eddy simulation T Dairay, E Lamballais, S Laizet, JC Vassilicos Journal of Computational Physics 337, 252-274, 2017 | 115 | 2017 |
Non-equilibrium scaling laws in axisymmetric turbulent wakes T Dairay, M Obligado, JC Vassilicos Journal of Fluid Mechanics 781, 166-195, 2015 | 114 | 2015 |
LES of a turbulent jet impinging on a heated wall using high-order numerical schemes T Dairay, V Fortuné, E Lamballais, LE Brizzi International journal of heat and fluid flow 50, 177-187, 2014 | 88 | 2014 |
Nonequilibrium scalings of turbulent wakes M Obligado, T Dairay, JC Vassilicos Physical Review Fluids 1 (4), 044409, 2016 | 72 | 2016 |
Physics-informed neural networks for non-Newtonian fluid thermo-mechanical problems: An application to rubber calendering process TNK Nguyen, T Dairay, R Meunier, M Mougeot Engineering Applications of Artificial Intelligence 114, 105176, 2022 | 25 | 2022 |
Implicit/explicit spectral viscosity and large-scale SGS effects E Lamballais, T Dairay, S Laizet, JC Vassilicos Direct and Large-Eddy Simulation XI, 107-113, 2019 | 12 | 2019 |
Mesh node distribution in terms of wall distance for large-eddy simulation of wall-bounded flows T Dairay, E Lamballais, S Benhamadouche Flow, turbulence and combustion 100, 617-626, 2018 | 11 | 2018 |
Model learning of the tire–road friction slip dependency under standard driving conditions V Mussot, G Mercere, T Dairay, V Arvis, J Vayssettes Control Engineering Practice 121, 105048, 2022 | 9 | 2022 |
Noise covariance matrix estimation with subspace model identification for Kalman filtering V Mussot, G Mercère, T Dairay, V Arvis, J Vayssettes International Journal of Adaptive Control and Signal Processing 35 (4), 591-611, 2021 | 7 | 2021 |
Direct numerical simulation of a turbulent wake: The non-equilibrium dissipation law T Dairay, JC Vassilicos International Journal of Heat and Fluid Flow 62, 68-74, 2016 | 7 | 2016 |
Tracking distributed parameters system dynamics with recursive dynamic mode decomposition with control T Bou Hamdan, G Mercère, T Dairay, R Meunier, P Tremblay, P Coirault SIAM Journal on Applied Dynamical Systems 22 (1), 37-64, 2023 | 4 | 2023 |
On the capability of PIV-based wall pressure estimation for an impinging jet flow T Dairay, S Roux, V Fortuné, LE Brizzi Flow, Turbulence and Combustion 96, 667-692, 2016 | 4 | 2016 |
Simulation haute fidélité de l’aérothermique d’un jet en impact T Dairay Université de Poitiers, 2013 | 3 | 2013 |
Simulations numériques directes d'un jet impactant T Dairay, V Fortuné, É Lamballais, LE Brizzi CFM 2011-20ème Congrès Français de Mécanique, 2011 | 3 | 2011 |
Non-intrusive reduced order models for partitioned fluid-structure interactions A Tiba, T Dairay, F De Vuyst, I Mortazavi, JPB Ramirez arXiv preprint arXiv:2306.07570, 2023 | 2 | 2023 |
Continuous Methods: Adaptively intrusive reduced order model closure E Menier, MA Bucci, M Yagoubi, L Mathelin, T Dairay, R Meunier, ... arXiv preprint arXiv:2211.16999, 2022 | 2 | 2022 |
Direct numerical simulation of the heat transfer of an impinging jet T Dairay, V Fortune, E Lamballais, LE Brizzi Department of Fluid Flow, Heat Transfer and Combustion, Institute PRIME …, 2013 | 2 | 2013 |
Développement et évaluation d’une méthode implicitea coût réduit appliquée aux schémas de type Galerkin discontinu T Dairay MSc Thesis, ONERA, 2010 | 2 | 2010 |
Fixed-Budget Online Adaptive Learning for Physics-Informed Neural Networks. Towards Parameterized Problem Inference TNK Nguyen, T Dairay, R Meunier, C Millet, M Mougeot International Conference on Computational Science, 453-468, 2023 | 1 | 2023 |