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Dépôts avec texte intégral
122
Mots-clés
Optimization
Large-eddy simulation
Rotating flow
Aeroelastic tailoring
ADAPTATION MAILLAGE
Proper Orthogonal Decomposition
Numerical simulation
Physics informed neural networks
CIRCE
Surrogate modeling
Multi-fidelity
Conditions limites
Atmospheric Boundary-Layer Flows
Transition to turbulence
Assimilation de données
Coefficient d'entraînement
Immersed boundaries
Fluidic pinball
Aeroelasticity
Computational fluid dynamics
Ahmed body numerical simulation POD wake control
FOS Physical sciences
Buoyant jet
Combined Effect Tests
Cavity flow
Bi-local stability analysis
Machine learning
Coherent structures
Physics-informed machine learning
Computational Physics physicscomp-ph
Boundary-layer flow
Contact System
Thrombosis
Atmospheric circulation
Plunging foil
Surrogate models
Catchment modeling
Gaussian process regression
Aorta
Deep neural network
Bayesian calibration
Conformal prediction
Compressible flows
Experiments
Aerodynamics
Aeronautics
Data assimilation
Acoustic-gravity waves
4D flow MRI
Instabilities
Calcul Haute Performance
Proper orthogonal decomposition
Turbulence
Unsteady flows
POD
Aircraft
Ahmed body
Aéronautique
Calage bayésien
Ahmed body POD symmetry breaking modes
Vibration environment
Computational physics
Co-kriging
Boundary conditions
Condensation
Uncertainty quantification
Acoustics and Ultrasonics
Deep learning
Atmospheric processes
Composite
Aorte
Modal decomposition
Mécanique des fluides
Machine Learning
Clogging
Fluid Dynamics
Adaptivity
AERODYNAMIQUE
Fluid Dynamics physicsflu-dyn
Corps d'Ahmed
Air pollutant dispersion
Artificial intelligence
Apprentissage automatique
Apprentissage statistique
Aerodynamics Proper Orthogonal Decomposition Reduced-order Model Direct Numerical Simulation Experiments
Composite material
Direct numerical simulation
Surface pollution
Rotating flows
Atmospheric Dispersion
Computational Fluid Dynamics
Channel flow
Flow control
Ahmed body POD switches
Free surface
Atmospheric dispersion
Parametric uncertainty
Aeroelasticity Composite Surrogate modelling Uncertainty quantification
Composite structures
Cavité avec évents
LAst publications
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Gauthier Leclercq, François Lusseyran, Guillaume Dufour, Jean-Maxime Orlac'H. Étude expérimentale et numérique de l'effet thermique d'une décharge à barrière diélectrique Numerical and experimental study of the thermal effect of a dielectric barrier discharge. Journées scientifiques 2024 d'URSI-France, Mar 2024, Paris, France. pp.92-95. ⟨hal-04573776⟩
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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⟩
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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⟩
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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⟩
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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⟩
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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⟩
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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⟩
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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⟩
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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⟩
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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⟩
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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⟩
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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⟩