Loading...
Dépôts avec texte intégral
122
Mots-clés
Aorta
4D flow MRI
Corps d'Ahmed
Flow control
Aorte
Acoustics and Ultrasonics
Multi-fidelity
Atmospheric Dispersion
Vibration environment
Modal decomposition
Channel flow
Coefficient d'entraînement
Cavité avec évents
Physics informed neural networks
FOS Physical sciences
Composite material
Rotating flows
Aircraft
Uncertainty quantification
Acoustic-gravity waves
Optimization
Aeroelastic tailoring
Proper Orthogonal Decomposition
Calcul Haute Performance
Atmospheric circulation
Assimilation de données
Aeroelasticity
Coherent structures
Parametric uncertainty
Computational Fluid Dynamics
Direct numerical simulation
Apprentissage automatique
Ahmed body POD switches
AERODYNAMIQUE
Bi-local stability analysis
Atmospheric Boundary-Layer Flows
Composite structures
Data assimilation
Physics-informed machine learning
Combustion hydrogène
Buoyant jet
Aerodynamics
Turbulence
Aerodynamics Proper Orthogonal Decomposition Reduced-order Model Direct Numerical Simulation Experiments
Unsteady flows
Catchment modeling
Adaptivity
Apprentissage statistique
Numerical simulation
Fluid Dynamics
Thrombosis
Combined Effect Tests
Aeroelasticity Composite Surrogate modelling Uncertainty quantification
Fluidic pinball
Surrogate modeling
Large-eddy simulation
Plunging foil
Deep neural network
Surface pollution
Ahmed body
Mécanique des fluides
Rotating flow
Calage bayésien
ADAPTATION MAILLAGE
Surrogate models
Free surface
Clogging
Computational physics
Ahmed body POD symmetry breaking modes
Condensation
Bayesian calibration
Computational Physics physicscomp-ph
Deep learning
Aeronautics
Aéronautique
Compressible flows
Boundary conditions
Co-kriging
Atmospheric dispersion
Immersed boundaries
POD
Boundary-layer flow
Ahmed body numerical simulation POD wake control
Proper orthogonal decomposition
Air pollutant dispersion
Conditions limites
Transition to turbulence
Instabilities
Artificial intelligence
Fluid Dynamics physicsflu-dyn
CIRCE
Machine Learning
Atmospheric processes
Cavity flow
Composite
Machine learning
Computational fluid dynamics
Experiments
Accélération de flamme
Gaussian process regression
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⟩