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Academic literature on the topic 'Dispersion lagrangienne'
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Journal articles on the topic "Dispersion lagrangienne"
Baghdadi, N., and P. Broche. "Méthodologie pour une utilisation conjointe de données eulériennes et langrangiennes de courant pour estimer un coefficient de diffusion horizontale côtières." Revue des sciences de l'eau 8, no. 3 (April 12, 2005): 403–21. http://dx.doi.org/10.7202/705231ar.
Full textKatata, G., M. Chino, T. Kobayashi, H. Terada, M. Ota, H. Nagai, M. Kajino, et al. "Detailed source term estimation of the atmospheric release for the Fukushima Daiichi Nuclear Power Station accident by coupling simulations of an atmospheric dispersion model with an improved deposition scheme and oceanic dispersion model." Atmospheric Chemistry and Physics 15, no. 2 (January 30, 2015): 1029–70. http://dx.doi.org/10.5194/acp-15-1029-2015.
Full textDissertations / Theses on the topic "Dispersion lagrangienne"
ZOUARI, NAJET. "Dispersion lagrangienne en turbulence bidimensionnelle." Paris 6, 1990. http://www.theses.fr/1990PA066778.
Full textBerlemont, Alain. "Modélisation eulérienne et lagrangienne de la dispersion particulaire en écoulement turbulent." Rouen, 1987. http://www.theses.fr/1987ROUES028.
Full textBerlemont, Alain. "Modélisation eulérienne et lagrangienne de la dispersion particulaire en écoulement turbulent." Grenoble 2 : ANRT, 1987. http://catalogue.bnf.fr/ark:/12148/cb37602924b.
Full textChikaoui, Abdelkader. "Contribution à la simulation lagrangienne de la dispersion et de l'évaporation de gouttelettes." Ecully, Ecole centrale de Lyon, 1999. http://www.theses.fr/1999ECDL0015.
Full textTThe present work is devoted to the study dilute two-phase flows where the dispersed phase is made of droplets that may eventually evaporate. A Lagrangian approach has been developped for the treatment of the dispersed phase: it consists to simulate the dispersion of a relatively large number of particles in order to get statistical quantities by simple averages. The idea is to solve the fundamental law of dynamics for each particle. From the motion of the particles within the flow is simulated, we deduce the momentum, energy, heat. . . Transfer terms between phases. These terms are then introduced into the continuous phase equations, making the whole method a two-way coupling one. In the case of sufficiently dilute flows, the feedback (from the particles two the fluid) can be neglected and the continuous phase equations reduce to the classical Navier-Stokes ones with one way-coupling only. A stochastic model is used to simulate the fluctuations of the velocity along each particle trajectory. Vaporisation is accounted for by using a finite conduction model from the litterature. Numerically speaking, this approach is coupled to an existing code, for computing complex geometry flows, by means of a Lagrangian module. The latter provides the necessary source terms that model the particles' influence onto the fluid. We first validate the code in the absence of evaporation, using the classical Hishida and Maeda experiment, a widely employed test-case for most Lagrangian simulations of this kind. In the presence of dropplets evaporation our results are consistent with predictions of a code developped at CORIA
Desjonqueres, Philippe. "Modélisation lagrangienne du comportement de particules discrètes en écoulement turbulent." Rouen, 1987. http://www.theses.fr/1987ROUES004.
Full textBéard, Philippe. "Modélisation lagrangienne de la dispersion et de l'évaporation de gouttes dans un écoulement turbulent instationnaire." Toulouse, ENSAE, 1994. http://www.theses.fr/1994ESAE0004.
Full textPinho, brasil junior Antonio cesar. "Simulation numérique par éléments finis des écoulements turbulents tridimensionnels avec dispersion : approches eulérienne et lagrangienne." Ecully, Ecole centrale de Lyon, 1992. http://www.theses.fr/1992ECDL0042.
Full textChagras, Valérie. "Simulation eulérienne-lagrangienne d'écoulements gaz-solide non isothermes : interactions particules-turbulence, application aux écoulements en conduite." Phd thesis, Université Henri Poincaré - Nancy I, 2004. http://tel.archives-ouvertes.fr/tel-00007697.
Full textVinkovic, Ivana. "Dispersion et mélange turbulents de particules solides et de gouttelettes par une simulation des grandes échelles et une modélisation stochastique lagrangienne." Phd thesis, Ecully, Ecole centrale de Lyon, 2005. http://bibli.ec-lyon.fr/exl-doc/ivinkovic.pdf.
Full textIn order to study the dispersion of industrial stack emissions, a large eddy simulation with the dynamic subgrid-scale model of Germano et al. (1991) is coupled with Lagrangian tracking of fluid particles containing scalar, solid particles and droplets. Because most interactions between particles, such as chemical reactions, collisions, coalescence, breakup or evaporation, take place at a subgrid scale, it is important to model the movement of particles below the grid. Therefore, a Langevin model is coupled with the LES. The stochastic model is written in terms of subgrid-scale statistics at a mesh level. Finally, a model for droplet coalescence and breakup is implemented. Coalescence and breakup are considered as a stochastic process under the scaling symmetry assumption. The model is inspired by the stochastic model for secondary breakup of Apte et al. (2003). The results of the different models implemented in the LES are compared with various wind tunnel experiments
Vissenaekens, Elise. "The assessment of the uncertainty of the hydrodynamical SYMPHONIE2015 model and its implications for Lagrangian dispersal studies." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS039.
Full textTo give sound management advice, the connectivity in coastal areas must be thoroughly understood. The red thread throughout this PhD is analysing the uncertainty of the SYMPHONIE2015 model and its effect on larval dispersal simulations. In the first chapter, the robustness of the model to assumption violation was tested. This was done by calculating six relative and absolute statistical indicators during and outside of wind, wave and stratification events. The results showed that the model’s performance is not affected by these events. In the second chapter, the instant error was calculated. Then, the cumulative error distributions were compared to each other in space and time. In time, the intraseasonal differences in error distributions were smaller than the interseasonal ones. In space, eight groups of error distributions could be formed. No link was found between the model’s performance and stratification, water depth, resolution and bathymetry slope. However, a strong correlation between the current speed and the error distributions was found. In chapter three, the instant error was added as noise to the Lagrangian dispersal simulations and compared to the original run to assess the effect of the models’ error on connectivity. The median difference in transfer rate between the runs with and without noise around zero. However, the relative difference in transfer rate can vary from -100% to 100%. Knowing the uncertainties in dispersal simulations can aid in using them for management advice