index - Modélisation mathématique et numérique

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Le laboratoire Modélisation mathématique et numérique (M2N) (EA 7340) s’intéresse principalement aux problèmes de modélisations issus du monde industriel et économique. Il regroupe des enseignants-chercheurs et des ingénieurs dont les compétences s’articulent autour du calcul scientifique et du contrôle.

Directeur : Iraj Mortazavi

Site web du laboratoire M2N: http://maths.cnam.fr/M2N

Pour toute information sur cette collection, merci de contacter hal@cnam.fr

Giuseppe Bilotta, Vito Zago, Alexis Hérault, Annalisa Cappello, Gaetana Ganci, et al.. Optimization of flexible neighbors lists in Smoothed Particle Hydrodynamics on GPU. Advances in Engineering Software, 2024, 196, pp.103711. ⟨10.1016/j.advengsoft.2024.103711⟩. ⟨hal-04640070⟩
Helene Canot, Philippe Durand, Emmanuel Frénod. Bow Echo Alarm System Using Topological Data Analysis. 2024. ⟨hal-04691479⟩
Helene Canot, Philippe Durand, Emmanuel Frénod, Bouchra Hassoune-Rhabbour, Valérie Nassiet, et al.. Topological data analysis for roughness surfaces of bonding assembly. 2024. ⟨hal-04682718⟩
Haythem Cheikh. Extended angle conditions for the study of the asymptotic behaviour of some continuous and discrete forced dynamical systems. 2024. ⟨hal-04637289⟩
Marthe de Crouy-Chanel, Chloé Mimeau, Iraj Mortazavi, Alessandro Mariotti, Maria Vittoria Salvetti. Large-Eddy Simulations with remeshed Vortex methods: An Assessment and Calibration of Subgrid-Scale Models. Computers and Fluids, 2024, 277, pp.106287. ⟨10.1016/j.compfluid.2024.106287⟩. ⟨hal-04582176⟩
Azzeddine Tiba, Thibault Dairay, Florian de Vuyst, Iraj Mortazavi, Juan-Pedro Berro Ramirez. Machine-Learning Enhanced Predictors for Accelerated Convergence of Partitioned Fluid-Structure Interaction Simulations. 2024. ⟨hal-04576920⟩
Camilla Fiorini, Clément Flint, Louis Fostier, Emmanuel Franck, Reyhaneh Hashemi, et al.. Generalizing the SINDy approach with nested neural networks. 2024. ⟨hal-04557263⟩
N. Nouaime, B. Després, M. Puscas, Camilla Fiorini. Stability of a continuous/discrete sensitivity model for the Navier–Stokes equations. International Journal for Numerical Methods in Fluids, In press, ⟨10.1002/fld.5324⟩. ⟨hal-04677498⟩
Cheima Djemel, Olivier Piller, Thierry Horsin, Chloé Mimeau, Iraj Mortazavi. Review of Reduced-Order Models for Online Protection of Water Distribution Networks. Engineering Proceedings, 2024, 69 (1), pp.159. ⟨10.3390/engproc2024069159⟩. ⟨hal-04570712⟩
Camilla Fiorini. Uncertainty propagation of the shock position for hyperbolic PDEs using a sensitivity equation method. Finite Volumes for Complex Applications 10 (FVCA10), Oct 2023, Strasbourg, France. pp.131-139, ⟨10.1007/978-3-031-40860-1_14⟩. ⟨hal-04124225⟩
Azzeddine Tiba, Thibault Dairay, Florian de Vuyst, Iraj Mortazavi, Juan-Pedro Berro Ramirez. Non-intrusive reduced order models for partitioned fluid-structure interactions. 2023. ⟨hal-04318891⟩
Camille Chambon, Olivier Piller, Iraj Mortazavi. Accurate modelling of the hydraulic grade line by recursive discretization of pipes presenting background leakage. 19th Computing and Control for the Water Industry Conference 2023, De Monfort University, Sep 2023, Leicester, United Kingdom. ⟨10.13140/RG.2.2.18522.72649⟩. ⟨hal-04224133⟩
Francois Delassaux, Iraj Mortazavi, Vincent Herbert, Charles Ribes. Computational analysis of unsteady flow features around a realistic Estate vehicle with hybrid RANS/LES methods. Computers and Fluids, 2023, 262, pp.105935. ⟨10.1016/j.compfluid.2023.105935⟩. ⟨hal-04103180⟩
Camille Chambon. Modélisation des fuites diffuses et des phénomènes d’inertie dans les réseaux de distribution d’eau potable. Mathématiques générales [math.GM]. HESAM Université, 2023. Français. ⟨NNT : 2023HESAC011⟩. ⟨tel-04167403⟩
Olivier Wilk. Padé-type High-Order Absorbing Boundary Condition for a Coupled Hydrodynamic Wave Model with Surface Tension Effect. 2023. ⟨hal-04143930⟩

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