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Dépôts avec texte intégral
131
Mots-clés
Numerical simulation
Fluid Dynamics
Aorta
Direct numerical simulation
Combined Effect Tests
Proper orthogonal decomposition
Aerodynamics
Composite material
Aéroélasticité
Apprentissage automatique
Machine learning
Corps d'Ahmed
Ahmed body
Acoustic-gravity waves
Fluid Dynamics physicsflu-dyn
Instabilities
Rotating flow
Bayesian calibration
Flow control
Ahmed body POD switches
Computational Fluid Dynamics
Machine Learning
4D flow MRI
Calage bayésien
Transition to turbulence
Vibration environment
Boundary-layer flow
Co-kriging
Aeronautics
AERODYNAMIQUE
Artificial intelligence
Channel flow
Data assimilation
Atmospheric circulation
Assimilation de données
Boundary conditions
Optimization
Atmospheric Boundary-Layer Flows
Neural ODE
Coefficient d'entraînement
Atmospheric dispersion
Rotating flows
Compressible flows
Surface pollution
Aircraft
Thrombosis
Aorte
Ahmed body numerical simulation POD wake control
Free surface
Surrogate modeling
Fluidic pinball
Buoyant jet
Uncertainty quantification
Composite structures
Clogging
Aéronautique
Computational Physics physicscomp-ph
Cavity flow
Acoustics and Ultrasonics
Composite
Atmospheric Dispersion
Coherent structures
Gaussian process regression
FOS Physical sciences
Computational fluid dynamics
Physics informed neural networks
Cavité avec évents
Immersed boundaries
Physics-informed machine learning
Parametric uncertainty
Experiments
Air pollutant dispersion
Catchment modeling
Modal decomposition
Unsteady flows
Surrogate models
Lamination parameters
Optimisation
Boundary layer stability
Apprentissage statistique
Ahmed body POD symmetry breaking modes
Aerodynamics Proper Orthogonal Decomposition Reduced-order Model Direct Numerical Simulation Experiments
Multi-fidelity
Aeroelastic tailoring
Deep learning
Mécanique des fluides
Turbulence
Bi-local stability analysis
Large-eddy simulation
POD
Aeroelasticity
Atmospheric processes
Adaptivity
ADAPTATION MAILLAGE
Aeroelasticity Composite Surrogate modelling Uncertainty quantification
Deep neural network
CIRCE
Calcul Haute Performance
Proper Orthogonal Decomposition
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, pp.1415453. ⟨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, 26, pp.101030. ⟨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, 15 (1), pp. 27-45. ⟨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), pp.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⟩