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