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