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Dépôts avec texte intégral
125
Mots-clés
4D flow MRI
Channel flow
Buoyant jet
Composite
Fluid Dynamics
Boundary conditions
Ahmed body
Direct numerical simulation
Data assimilation
Physics informed neural networks
Deep learning
Uncertainty quantification
Lamination parameters
Cavity flow
Mécanique des fluides
Co-kriging
Proper orthogonal decomposition
Aéronautique
Machine learning
Apprentissage automatique
Bayesian calibration
Atmospheric processes
Aorte
Fluid Dynamics physicsflu-dyn
Boundary-layer flow
Thrombosis
Composite material
Computational Fluid Dynamics
Ahmed body POD switches
Machine Learning
Immersed boundaries
Vibration environment
Composite structures
Calage bayésien
Aeroelasticity
Apprentissage statistique
Cavité avec évents
Gaussian process regression
Surrogate models
Surrogate modeling
Aeroelastic tailoring
Fluidic pinball
Modal decomposition
Ahmed body POD symmetry breaking modes
Catchment modeling
Bi-local stability analysis
Acoustics and Ultrasonics
Proper Orthogonal Decomposition
Aerodynamics
Multi-fidelity
Numerical simulation
Assimilation de données
Compressible flows
Atmospheric Dispersion
Aéroélasticité
Aeronautics
Instabilities
AERODYNAMIQUE
Rotating flows
Aircraft
Surface pollution
Aorta
Turbulence
Coherent structures
Calcul Haute Performance
Free surface
Large-eddy simulation
Coefficient d'entraînement
Unsteady flows
Computational fluid dynamics
Adaptivity
Computational physics
Artificial intelligence
FOS Physical sciences
Atmospheric circulation
Neural ODE
Computational Physics physicscomp-ph
Aerodynamics Proper Orthogonal Decomposition Reduced-order Model Direct Numerical Simulation Experiments
Atmospheric Boundary-Layer Flows
Experiments
ADAPTATION MAILLAGE
Optimization
POD
Combined Effect Tests
Atmospheric dispersion
Ahmed body numerical simulation POD wake control
Physics-informed machine learning
Air pollutant dispersion
Rotating flow
Parametric uncertainty
CIRCE
Transition to turbulence
Optimisation
Corps d'Ahmed
Flow control
Acoustic-gravity waves
Aeroelasticity Composite Surrogate modelling Uncertainty quantification
Clogging
Deep neural network
Plunging foil
LAst publications
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Grégory Bana, Fabrice Lamadie, Sophie Charton, Tojonirina Randriamanantena, Didier Lucor, et al.. BYG-drop: a tool for enhanced droplet detection in liquid–liquid systems through machine learning and synthetic imaging. Frontiers in Chemical Engineering, 2024, 6, ⟨10.3389/fceng.2024.1415453⟩. ⟨hal-04676144⟩
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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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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⟩
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Roger Ballester Claret, Ludovic Coelho, Christian Fagiano, Cédric Julien, Didier Lucor, et al.. Reliability based optimisation of composite plates under aeroelastic constraints via adapted surrogate modelling and genetic algorithms. Composite Structures, 2024, 347, pp.118461. ⟨10.1016/j.compstruct.2024.118461⟩. ⟨hal-04671263⟩
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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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Bastien Nony, Mélanie C. Rochoux, Thomas Jaravel, Didier Lucor. REDUCED-ORDER MODEL FOR MICROSCALE ATMOSPHERIC DISPERSION COMBINING MULTI-FIDELITY LES AND RANS DATA. ECCOMAS Proceedia, UNCECOMP 2023, M. Papadrakakis, V. Papadopoulos, G. Stefanou, Jun 2023, Athenes, Grece, Greece. ⟨10.7712/120223.10337.19817⟩. ⟨hal-04310899⟩
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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⟩