Loading...
Dépôts avec texte intégral
122
Mots-clés
Direct numerical simulation
Ahmed body POD switches
Aeroelasticity
Deep neural network
Apprentissage automatique
Unsteady flows
Buoyant jet
Computational Fluid Dynamics
Proper Orthogonal Decomposition
Atmospheric dispersion
Bi-local stability analysis
Aeroelastic tailoring
Acoustics and Ultrasonics
Fluidic pinball
Combustion Hydrogène
Calage bayésien
Deep learning
Coherent structures
Calcul Haute Performance
Aorta
Accélération de Flamme
Aeroelasticity Composite Surrogate modelling Uncertainty quantification
Rotating flows
Machine Learning
Boundary-layer flow
Aéronautique
Surface pollution
Apprentissage statistique
Composite material
AERODYNAMIQUE
Co-kriging
Surrogate modeling
Aerodynamics
Composite
Atmospheric Boundary-Layer Flows
Data assimilation
Vibration environment
Immersed boundaries
Artificial intelligence
Atmospheric Dispersion
ADAPTATION MAILLAGE
Aeronautics
Thrombosis
Cavité avec évents
Clogging
Optimization
Computational Physics physicscomp-ph
Gaussian process regression
Combined Effect Tests
Fluid Dynamics
Computational fluid dynamics
Flow control
POD
Instabilities
Physics-informed machine learning
Air pollutant dispersion
Aircraft
Numerical simulation
Boundary conditions
Assimilation de données
Large-eddy simulation
Mécanique des fluides
Transition to turbulence
Composite structures
Aerodynamics Proper Orthogonal Decomposition Reduced-order Model Direct Numerical Simulation Experiments
Free surface
Fluid Dynamics physicsflu-dyn
Bayesian calibration
Modal decomposition
Multi-fidelity
Plunging foil
Condensation
FOS Physical sciences
Ahmed body numerical simulation POD wake control
Aorte
Physics informed neural networks
CIRCE
Rotating flow
Ahmed body POD symmetry breaking modes
Cavity flow
Uncertainty quantification
Surrogate models
Atmospheric processes
Turbulence
Corps d'Ahmed
Channel flow
Proper orthogonal decomposition
Acoustic-gravity waves
Computational physics
Machine learning
Catchment modeling
Ahmed body
Atmospheric circulation
Experiments
Conditions limites
Adaptivity
4D flow MRI
Coefficient d'entraînement
Compressible flows
Parametric uncertainty
LAst publications
-
Kevin Bouaou, Thomas Dietenbeck, Gilles Soulat, Ioannis Bargiotas, Sophia Houriez--Gombaud- Saintonge, et al.. 4D flow MRI aortic cross-sectional pressure changes and their associations with flow patterns in health and aneurysm. Journal of Cardiovascular Magnetic Resonance, 2024, ⟨10.1016/j.jocmr.2024.101030⟩. ⟨hal-04479210⟩
-
Rahul Sundar, Didier Lucor, Sunetra Sarkar. Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients. 10th International and 50th National Conference on Fluid Mechanics and Fluid Power (FMFP), Dec 2023, Jodhpur, France. ⟨hal-04463178⟩
-
François Lusseyran, Guy Y. Cornejo Maceda, Eliott Varon, Bernd R. Noack. On open cavity flow control in the age of artificial intelligence. From the nonlinear dynamical systems theory to observational chaos, Christophe Letellier; Sylvain Mangiarotti; Denisse Sciamarella, Oct 2023, Toulouse, France. ⟨hal-04476406⟩
-
Stéphanie Pellerin, Bérengère Podvin, Yann Fraigneau, Guillaume Bonnavion, Olivier Cadot. Near wake of an Ahmed body: analysis of switches and base pressure-velocity relationship. Fifth international conference in numerical and experimental aerodynamics of, road vehicles and trains (Aerovehicles 5), Jun 2023, Poitiers, France. ⟨hal-04406619⟩
-
Michele Quattromini, Michele Alessandro Bucci, Stefania Cherubini, Onofrio Semeraro. Operator learning of RANS equations: a Graph Neural Network closure model. The mathematical and statistical foundation of future data-driven engineering -- Computational Challenges and Emerging Tools, Apr 2023, Cambridge, United Kingdom. ⟨hal-04407775⟩
-
Michele Alessandro Bucci, Onofrio Semeraro, Alexandre Allauzen, Sergio Chibbaro, Lionel Mathelin. Curriculum learning for data-driven modeling of dynamical systems. European Physical Journal E: Soft matter and biological physics, 2023, 46 (3), pp.12. ⟨10.1140/epje/s10189-023-00269-8⟩. ⟨hal-04291002⟩
-
Riccardo Cocci, Alberto Ghione, Lucia Sargentini, Guillaume Damblin, Didier D Lucor. Model assessment for direct contact condensation induced by a sub-cooled water jet in a circular pipe. International Journal of Heat and Mass Transfer, 2022, 195 (123162), ⟨10.1016/j.ijheatmasstransfer.2022.123162⟩. ⟨hal-03697625⟩
-
Antoine Faugaret, Laurent Martin Witkowski. Étude d'une condition aux limites simple pour un écoulement à surface libre en rotation dans une cavité cylindrique : effet de la variation du rapport de forme.. 25e Congrès Français de Mécanique, Nantes, 29 août-2 septembre 2022, Aug 2022, Nantes, France. ⟨hal-04280116⟩
-
Guy Y. Cornejo Maceda, Yiqing Li, François Lusseyran, Marek Morzyński, Bernd R. Noack. Gradient-based machine learning control for the stabilization of the fluidic pinball and the open cavity experiment. IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics, Jun 2022, Aarhus, Denmark. ⟨hal-03895510⟩
-
Ludovic Coelho, Nicolò Fabbiane, Christian Fagiano, Cédric Julien, Didier Lucor. Gradient reliability-based design optimization of a composite plate through multi-scale design spaces. International Forum on Aeroelasticity and Structural Dynamics IFASD 2022, Jun 2022, Madrid, Spain. pp.2563-2579. ⟨hal-04463058⟩
-
Stéphane Février, Stéphane Nachar, Lionel Mathelin, Frédéric Giordano, Bérengère Podvin. Apprentissage de graphe pour la reconstruction de l'environnement vibratoire. 15ème colloque national en calcul des structures, Université Polytechnique Hauts-de-France [UPHF], May 2022, 83400 Hyères-les-Palmiers, France. ⟨hal-03717557⟩