Academic literature on the topic 'Systèmes de grandes dimensions – Simulation, Méthodes de'
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Journal articles on the topic "Systèmes de grandes dimensions – Simulation, Méthodes de":
Boutemy, Camille, Arthur Lebée, Mélina Skouras, Marc Mimram, and Olivier Baverel. "Modélisation et conception d’un coffrage réutilisable pour la fabrication de coques minces en béton de formes complexes." SHS Web of Conferences 147 (2022): 09003. http://dx.doi.org/10.1051/shsconf/202214709003.
Vautrin, Denis, Irmela Zentner, Guy D’Urso, Géry Hachet, Christophe Vergniault, and Dimitri Mercadier. "Démarche de qualification de l’utilisation de la méthode MASW sur les digues par mesures en environnement contrôlé et simulations pour évaluer l’influence de la géométrie 3D des ouvrages." Revue Française de Géotechnique, no. 178 (2024): 2. http://dx.doi.org/10.1051/geotech/2024005.
Sardet, Alix, Nicolas Estre, Daniel Eck, Frédéric Moutet, and Emmanuel Payan. "Extension algorithmique du champ de vue tomographique à des objets de toutes dimensions." e-journal of nondestructive testing 28, no. 9 (September 2023). http://dx.doi.org/10.58286/28512.
Aigueperse, Antoine, and Wilfrid Baroche. "Etat de l’art des architectures des cellules robotisées pour le contrôle par Ultrasons." e-journal of nondestructive testing 28, no. 9 (September 2023). http://dx.doi.org/10.58286/28469.
Khemis, Sabri Ben. "Mesure térahertz de faibles épaisseurs et détection de défauts aux interfaces pour les revêtements industriels : Avancées et applications." e-journal of nondestructive testing 28, no. 9 (September 2023). http://dx.doi.org/10.58286/28483.
Dorval, Vincent, Nicolas Leymarie, Alexandre Imperiale, Edouard Demaldent, Zakaria Aghenzour, and Pierre-Emile Lhuillier. "Simulations numériques à l'échelle de microstructures hétérogènes pour déterminer des propriétés effectives de propagation ultrasonore." e-journal of nondestructive testing 28, no. 9 (September 2023). http://dx.doi.org/10.58286/28514.
Leclerc, Véronique, Alexandre Tremblay, and Chani Bonventre. "Anthropologie médicale." Anthropen, 2020. http://dx.doi.org/10.17184/eac.anthropen.125.
Dissertations / Theses on the topic "Systèmes de grandes dimensions – Simulation, Méthodes de":
Tiomoko, ali Hafiz. "Nouvelles méthodes pour l’apprentissage non-supervisé en grandes dimensions." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLC074/document.
Spurred by recent advances on the theoretical analysis of the performances of the data-driven machine learning algorithms, this thesis tackles the performance analysis and improvement of high dimensional data and graph clustering. Specifically, in the first bigger part of the thesis, using advanced tools from random matrix theory, the performance analysis of spectral methods on dense realistic graph models and on high dimensional kernel random matrices is performed through the study of the eigenvalues and eigenvectors of the similarity matrices characterizing those data. New improved methods are proposed and are shown to outperform state-of-the-art approaches. In a second part, a new algorithm is proposed for the detection of heterogeneous communities from multi-layer graphs using variational Bayes approaches to approximate the posterior distribution of the sought variables. The proposed methods are successfully applied to synthetic benchmarks as well as real-world datasets and are shown to outperform standard approaches to clustering in those specific contexts
Audinot, Timothée. "Développement d’un modèle de dynamique forestière à grande échelle pour simuler les forêts françaises dans un contexte non-stationnaire." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0179.
Context. Since the industrial revolution, European forests have shown expansion of their area and growing stock. This expansion, together with climate change, drive changes in the processes of forest dynamic. The emergence of a European bioeconomy strategy suggests new developments of forest management strategies at European and national levels. Simulating future forest resources and their management with large-scale models is therefore essential to provide strategic planning support tools. In France, forest resources show high diversity as compared with other European countries' forests. The MARGOT forest dynamic model (MAtrix model of forest Resource Growth and dynamics On the Territory scale), was developed by the national forest inventory (IFN) in 1993 to simulate French forest resources from data of this inventory, but has been the subject of restricted developments, and simulations remain limited to a time horizon shorter than 30 years, under “business as usual” management scenarios, and not taking into account non-stationary forest and environmental contexts.Aims. The general ambition of this thesis was to consent a significant development effort on MARGOT model, in order to tackle current forestry issues. The specific objectives were: i) to assess the capacity of MARGOT to describe French forest expansion over a long retrospective period (1971-2016), ii) to take into account the heterogeneity of forests at large-scale in a holistic way, iii) to account for the impacts of forest densification in demographic dynamic processes, iv) to encompass external climatic forcing in forest growth, v) in a very uncertain context, to be able to quantify NFI sampling uncertainty in model parameters and simulations with respect to the magnitude of other trends considered. The development of forest management scenarios remained outside the scope of this work.Main results. A generic method for forest partitioning according to their geographic and compositional heterogeneity has been implemented. This method is intended to be applied to other European forest contexts. A method of propagating sampling uncertainty to model parameters and simulations has been developed from data resampling and error modelling approaches. An original approach to integrating density-dependence in demographic processes has been developed, based on a density metric and the reintroduction of forest stand entities adapted to the model. A strategy for integrating climate forcing of model demographic parameters was developed based on an input-output coupling approach with the process-based model CASTANEA, for a subset of French forests including oak, beech, Norway spruce, and Scots pine forests. All of these developments significantly reduced the prediction bias of the initial model.Conclusions. These developments make MARGOT a much more reliable forest resource assessment tool, and are based on an original modeling approach that is unique in Europe. The use of ancient forest statistics will make it possible to evaluate the model and simulate the carbon stock of French forests over a longer time horizon (over 100 years). Intensive simulations to assess the performance of this new model must be done
Pruvost, Florent. "Méthodes numériques parallèles pour la simulation des réseaux électriques de grandes tailles." Thesis, Châtenay-Malabry, Ecole centrale de Paris, 2012. http://www.theses.fr/2012ECAP0011.
Power system transient stability analysis enables to control the return to equilibrium of the system subjected to a disturbance. This systematic analysis of developing transport networks allows to optimize the production and the consumption of electric power and to protect the equipments such as power plants, transformers, highvoltage lines and so on. In order to improve the stability, the robustness, and the sustainability of these systems, a worldwide trend is to interconnect regional and national transport networks. This leads to analyze ever larger systems. The power-stability problem can be numerically simulated owing to the integration of a differential-algebraic system which is nonlinear and stiff. When considering a very large problem, numerical simulation is very time consuming and significantly slows down the work of professionals. This thesis aims at studying innovative parallel computing methods for the resolution of differential systems arising from the transient stability analysis of large power systems such as the European Transport Network. In this manuscript, we first deliver an analysis of the properties of these rather specific systems: sparse, irregular, nonlinear, stiff, and heterogeneous. We discuss the particular structure of these systems making the application of a domain decomposition method interesting. Thus, we study several space parallelization methods: the fine parallelization of each costly tasks, the resolution of the nonlinear system by decomposition into weakly coupled subnetworks, first on each integration step separately, and then by waveform relaxation method. We also address the time parallelization with a Parareal-based algorithm and a space-time parallel method which benefits from the coupled properties of waveform relaxation and Parareal methods. In this work, we focus on methods which ensure a fast convergence of domain decomposition methods whatever the number of subdomains/processors used. In order to achieve such a goal, we introduce space preconditioning techniques to improve the scalability of the parallelization methods considered
Khalil, Wissam. "Contribution à la modélisation graphique de système de systèmes." Thesis, Lille 1, 2012. http://www.theses.fr/2012LIL10021/document.
This work has been realized in the framework of the European project InTraDE (Intelligent Transportation for Dynamic Environment). The main scientific contribution focuses on graphical modeling of System of Systems (SoS) in the engineering field. To model such systems, a graphical method based on hypergraph approach is proposed. Hypergraphs are used to describe the multiple hierarchical levels of a SoS and to describe its associated fundamental properties such as: the independence, cooperation, dispersion and the evolution of the component systems. Through this graphical modeling, online supervision strategies can be directly deduced. To manage the global operating of the component systems at a specific level, a dynamic graphical model is extracted from the hypergraph. This later allows the elaboration of an online optimization strategy. As a case study, an intelligent transportation system is considered. An online optimization algorithm currently updates, the time used for each intelligent autonomous vehicle to reach its target, in a permanently evolving environment
Guedot, Lola. "Développement de méthodes numériques pour la caractérisation des grandes structures tourbillonnaires dans les brûleurs aéronautiques : application aux systèmes d'injection multi-points." Thesis, Rouen, INSA, 2015. http://www.theses.fr/2015ISAM0017/document.
The reduction of pollutant emissions of aeronautical devices requires to optimize the design of the injection systems in the combustion chamber. The objective of this work is to improve the understandingof the flow dynamics in swirl stabilized burners. Large Eddy Simulation has become a major tool for the analysis of such flows. The steady increase in computational power enables to perform high-fidelity simulations, that generates a large amount of data, making it difficult to extract relevant information regarding the large scale phenomena. To this aim, massively parallel post-processing methods, suited for complex geometries, were developed in order to extract large-scale structures in turbulent flows. These methods were applied to simulations of spray flames in swirl burners, to get a better insight of how the large scale structures interact with the flame topology and the spray dynamics
Haidar, Azzam. "Sur l'extensibilité parallèle de solveurs linéaires hybrides pour des problèmes tridimensionels de grandes tailles." Phd thesis, Institut National Polytechnique de Toulouse - INPT, 2008. http://tel.archives-ouvertes.fr/tel-00347948.
Le, Lepvrier Benoît. "Hybridation de la FDTD à Double Grille (DG-FDTD) avec l'Optique Physique Itérative (IPO) - Application à la simulation d'antennes environnées positionnées sur des platesformes de grandes dimensions." Thesis, Rennes, INSA, 2014. http://www.theses.fr/2014ISAR0011/document.
This thesis aims at extending the Dual-Grid FDTD (DG-FDTD) application domain via its hybridization with the Iterative Physical Optics (IPO) method. This research was motivated by the need to evaluate accurately and efficiently the antenna pattern of surrounded antennas installed on large platforms (satellite, vehicle, space launcher). Overview on numerical method involved in this class of problem revealed DG-FDTD has interesting features. This method allows precise and efficient wide-Band simulations of surrounded antennas. However, this method remains costly for electrically large problems, especially because of its rigorous formulation. This thesis assessed the limitations of DG-FDTD and then put forward its inability to resolve antenna on platform problems. To answer this issue, a hybrid scheme combining DG-FDTD with IPO is proposed in this thesis. DG-FDTD/IPO divides the initial simulation into two successive simulations. The antenna and its vicinity are firstly analyzed with DG-FDTD, and then IPO is used to analyze the platform. The two simulations are interfaced using the equivalence principle. This new method is first validated using a canonical scenario. Then, it is applied to the computation of electromagnetic radiation pattern in two antenna on platform problems (antenna on vehicle especially). The method is then exploited to effectively analyze the radiation pattern of a surrounded antenna mounted on a platform. Two improvements are finely proposed in this thesis for DGFDTD/ IPO. The first one aims at taking into account for the backward coupling between the antenna region and the metallic platform. This improvement implies a coarse description of the antenna region in the IPO simulation. The second improvement concerns the modeling of the currents in the shadow areas of the platform. This improvement answers to the need to analyze precisely antenna-On-Launcher problems. Indeed IPO do not compute currents in shadow areas. Well, for this kind of problem, shadow areas represent almost all the platform. A new method based on IPO and called Domains Sequential Processing is proposed. This method is first validated using a canonical scenario involving a cylinder. Then it is successfully applied to the analysis of a spatial launcher
Perrot-Dockès, Marie. "Méthodes régularisées pour l’analyse de données multivariées en grande dimension : théorie et applications." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLS304/document.
In this PhD thesis we study general linear model (multivariate linearmodel) in high dimensional settings. We propose a novel variable selection approach in the framework of multivariate linear models taking into account the dependence that may exist between the responses. It consists in estimating beforehand the covariance matrix of the responses and to plug this estimator in a Lasso criterion, in order to obtain a sparse estimator of the coefficient matrix. The properties of our approach are investigated both from a theoretical and a numerical point of view. More precisely, we give general conditions that the estimators of the covariance matrix and its inverse have to satisfy in order to recover the positions of the zero and non-zero entries of the coefficient matrix when the number of responses is not fixed and can tend to infinity. We also propose novel, efficient and fully data-driven approaches for estimating Toeplitz and large block structured sparse covariance matrices in the case where the number of variables is much larger than the number of samples without limiting ourselves to block diagonal matrices. These approaches are appliedto different biological issues in metabolomics, in proteomics and in immunology
Abboud, Khodor. "Conception et évaluation d'un modèle adaptatif pour la qualité de service dans les réseaux MPLS." Phd thesis, Ecole Centrale de Lille, 2010. http://tel.archives-ouvertes.fr/tel-00590422.
Silva, Camilo F. "Numerical study of combustion noise in gas turbines." Thesis, Montpellier 2, 2010. http://www.theses.fr/2010MON20240/document.
Today, much of the current effort in combustion noise is the development of efficient numerical tools to calculate the noise radiated by flames. Although unsteady CFD methods such as LES or DNS can directly provide the acoustic field radiated by noise sources, this evaluation is limited to small domains due to high computational costs. Hybrid methods have been developed to overcome this limitation. In these schemes, the noise sources are decoupled from the radiated sound. The sources are still calculated by DNS or LES codes whereas the radiated sound is evaluated by acoustic codes using an acoustic analogy.In the present study, a numerical tool based on the Phllips' analogy for low Mach numbers flows has been developed. This tool accounts for the role of the boundary conditions in the resulting acoustic field. Both LES and the acoustic code developed here are used to assess the noise produced by a turbulent confined flame of a turbulent swirled-stabilized staged combustor. Good agreements are obtained between both techniques as long as the good quantities are compared: the pressure signal obtained directly from LES contains a non negligible amount of hydrodynamics that must be removed when a suitable acoustics-acoustics comparison is sought. The low Mach number assumption is completely realistic when considering the flow within a combustion chamber; it also conducts to considerable simplifications when leading with acoustic analogies. However, it cannot be used for the upstream (air-intake, compressors) and downstream (turbines, nozzle) of an aeronautical combustion chamber. A numerical tool is developed based on the quasi-1D Linearized Euler Equations in order to account for convective, non-isentropic and non-isenthalpic flows. By means of this tool, it is possible to estimate the acoustic boundary conditions that should be imposed at the inlet/oultlet of a given combustion chamber when performing low-Mach number acoustic computations