Loading...
Dépôts avec texte intégral
124
Mots-clés
Contact System
Aeroelasticity Composite Surrogate modelling Uncertainty quantification
Conformal prediction
Modal decomposition
Aéronautique
Experiments
FOS Physical sciences
Cavité avec évents
Parametric uncertainty
Plunging foil
Condensation
Aorta
Calcul Haute Performance
Surrogate modeling
CIRCE
Corps d'Ahmed
Clogging
Aerodynamics Proper Orthogonal Decomposition Reduced-order Model Direct Numerical Simulation Experiments
Calage bayésien
Proper orthogonal decomposition
Atmospheric Boundary-Layer Flows
Composite structures
Coefficient d'entraînement
Acoustics and Ultrasonics
Ahmed body
Direct numerical simulation
Thrombosis
Combined Effect Tests
Fluid Dynamics physicsflu-dyn
Computational Fluid Dynamics
Large-eddy simulation
Instabilities
Machine learning
Bi-local stability analysis
Aerodynamics
Atmospheric Dispersion
Atmospheric dispersion
Artificial intelligence
Physics-informed machine learning
Surface pollution
Optimization
Assimilation de données
Numerical simulation
Rotating flow
Apprentissage statistique
Flow control
Ahmed body numerical simulation POD wake control
Machine Learning
Boundary-layer flow
Aircraft
Computational fluid dynamics
ADAPTATION MAILLAGE
Aeronautics
Multi-fidelity
Adaptivity
Compressible flows
Deep learning
Atmospheric processes
Physics informed neural networks
Turbulence
AERODYNAMIQUE
Apprentissage automatique
Free surface
Uncertainty quantification
Surrogate models
Channel flow
Composite
Gaussian process regression
Co-kriging
Bayesian calibration
Data assimilation
Composite material
Immersed boundaries
Aorte
Acoustic-gravity waves
Cavity flow
Conditions limites
Boundary conditions
Aeroelasticity
POD
Atmospheric circulation
Fluid Dynamics
Deep neural network
Ahmed body POD switches
Ahmed body POD symmetry breaking modes
Buoyant jet
Computational physics
Fluidic pinball
Mécanique des fluides
Proper Orthogonal Decomposition
Unsteady flows
4D flow MRI
Aeroelastic tailoring
Catchment modeling
Transition to turbulence
Air pollutant dispersion
Computational Physics physicscomp-ph
Vibration environment
Rotating flows
Coherent structures
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⟩
-
-
Vincent Chabridon, Edgar Jaber, Emmanuel Remy, Michaël Baudin, Didier Lucor, et al.. Sensitivity Analyses of a Multi-Physics Long-Term Clogging Model For Steam Generators. International Journal for Uncertainty Quantification, 2024, ⟨10.1615/Int.J.UncertaintyQuantification.2024051489⟩. ⟨hal-04381960v2⟩
-
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⟩
-
-
-
-
-