Instabilité, turbulence et couplages

Écoulements industriels

Écoulements biologiques

Écoulements pour la fusion magnétique

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Instabilités, Turbulence et Couplages
Présentation

L’équipe développe une expertise multidisciplinaire centrée autour de la modélisation numérique et de l’étude d’écoulements de fluides neutres ou ionisés (plasma) pour l’optimisation de systèmes industriels ou technologiques dans quatre grands domaines à fort impact sociétal : énergie, aménagement  et urbanisme, transport, et santé.
La physique de ces systèmes est celle des phénomènes hors-équilibres et couplés, avec des instabilités conduisant à la turbulence, et des interactions entre fluide et structure, mélange et transferts, turbulence et transport, … qui nécessitent le développement de méthodes et de codes de simulations originaux. Ces études souvent réalisées dans des régimes de paramètres pertinents pour l’application se font dans le cadre de collaborations fortes  avec nos partenaires socio-économiques (AIRBUS, SAFRAN, IRSN, CEA, ITER, AP-HM…) qui sont dans l’ADN de l’équipe.

L’équipe compte actuellement 12 chercheurs et enseignants chercheurs, et  structure son activité autour de 3 grandes familles d’écoulements.

Responsable

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Annuaire personnel permanent

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Doctorants, Post-Doctorants et CDD

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Dernières publications de l'équipe

  • Elena Alekseenko, A.A. Sukhinov, B. Roux. Modeling of multi-fractional suspended particle pathways in a shallow water basin under influence of strong winds. Regional Studies in Marine Science, 2024, 73, pp.103477. ⟨10.1016/j.rsma.2024.103477⟩. ⟨hal-04515082⟩ Plus de détails...
  • Franck Corset, Mitra Fouladirad, Christian Paroissin. Imperfect and worse than old maintenances for a gamma degradation process. Applied Stochastic Models in Business and Industry, 2024, ENBIS 2022, 40 (3), pp.620-639. ⟨10.1002/asmb.2849⟩. ⟨hal-04462980⟩ Plus de détails...
  • Uwe Ehrenstein. Generalization to differential–algebraic equations of Lyapunov–Schmidt type reduction at Hopf bifurcations. Communications in Nonlinear Science and Numerical Simulation, 2024, 131, pp.107833. ⟨10.1016/j.cnsns.2024.107833⟩. ⟨hal-04408097⟩ Plus de détails...
  • Jingtao Ma, Lincheng Xu, Jérôme Jacob, Eric Serre, Pierre Sagaut. An averaged mass correction scheme for the simulation of high subsonic turbulent internal flows using a lattice Boltzmann method. Physics of Fluids, 2024, 36 (3), ⟨10.1063/5.0192360⟩. ⟨hal-04514161⟩ Plus de détails...
  • Raffael Düll, Hugo Bufferand, Eric Serre, Guido Ciraolo, Virginia Quadri, et al.. Introducing electromagnetic effects in Soledge3X. Contributions to Plasma Physics, 2024, pp.e202300147. ⟨10.1002/ctpp.202300147⟩. ⟨hal-04474339⟩ Plus de détails...
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Dernières rencontres scientifiques

Soutenances de thèses et HDR

31 octobre 2024 - Lattice Boltzmann method based large eddy simulations of wind farm wakes under the influence of atmospheric thermal stability / Ziwen Wang PhD defense
Doctorante : Ziwen Wang

Date : on October 31st, from 9:00 AM to 12:00 PM ; amphi N°3 - Centrale Méditerranée

Abstract : Wind energy experienced fast growth in the past two decades due to its inherent cleanness and low economic cost. Much attention has been devoted to the wind turbine/farm to access the full potential of wind energy. Wind turbines extract energy from airflow, resulting in a high turbulence and low-velocity wake flow. The downstream wind turbines in the wake suffer from high load and reduce power production. Additionally, wind turbine aerodynamics are highly influenced by the characteristics of the atmospheric boundary layer (ABL). Therefore, a thorough study of the interaction between wind farms and ABL is crucial for the design of wind farms and the optimization of wind farm performance.
Numerical simulations offer advantages in quantitative analysis of interactions between wind farms and ABL compared to experimental studies. While conventional high-fidelity simulations provide valuable insight into wind farm aerodynamics, their high computational cost limits their industrial application. As an alternative, the efficient lattice Boltzmann method (LBM) offers a promising solution for balancing computational demands whilst enabling accurate aerodynamic analysis. In this study, LBM was integrated with Large Eddy Simulation (LES) to investigate the wake flow of wind turbines and wind farms. The wind turbines were parameterized using the actuator line model. The ground momentum and the thermal flux within the ABL are represented using the Monin-Obukhov similarity theory. A review of different inflow turbulence generation methods in wind energy was provided. The inflow turbulence was constructed using the synthetic eddy method (SEM) as an alternative to the widely used precursor method.
A comprehensive validation of the numerical model was first carried out, including the integration of the wind turbine actuator line model into the LBM-LES solver, the simulation of individual wind turbine wake flow under the influence of atmosphere stability, and the wind farm simulation under neutral boundary layer (NBL) conditions. The results showed good agreement with reference data. The individual wake flow characteristics, such as velocity deficit shape and wake flow recovery rate, are highly influenced by thermal stability. The wake flow inside a wind farm stabilizes after an initial adjustment in the uniform temperature condition.
Onshore and offshore wind farm wakes under the influence of ABL thermal stability were further studied. For the onshore wind farm, the effects of stable and convective conditions were analyzed in detail. The wake behind the first 2 rows of the wind farm recovers faster in the convective condition due to the high ambient turbulence. However, the velocity and the turbulence intensity of the stabilized wake are higher in the stable condition. This is attributed to the larger velocity gradient and increased shear stress in the stable environment, which enhances the vertical kinetic energy exchange. The thermal stability effect can be differentiated between the indirect and direct effects. Indirectly, thermal stability influences ambient turbulence magnitude and velocity gradient, leading to varying levels of turbulence production and energy exchange. Directly, buoyancy forces primarily impact the wake flow behind the first two rows of turbines. Beyond this point, turbine rotation mixes high and low-temperature flows, rendering the flow relatively neutral deeper inside the wind farm. In addition, the performance of two typical analytical models was analyzed by comparison with the current LES results. The results highlight the importance of considering turbulence intensity in analytical models. Current empirical models for wind turbine-induced turbulence do not adequately represent variations induced by thermal stability.
As for the offshore wind farm, simulations were conducted with constant sea surface roughness. The wake flow stabilizes after the second wind turbine, with a slower wake recovery due to the lower inflow turbulence intensity compared to the onshore wind farm. A comparison was further performed between the results of the analytical models and the LES. The PARK model overpredicts the wake flow velocity behind the first turbine while underpredicting the near wake velocity and overpredicting the far wake velocity from the second turbine onwards. This is attributed to the low wake recovery rate predictions. The NPA model underpredicts wake flow behind the first turbine but performs well in predicting the wake flow at equilibrium, with overprediction in front of each row of turbines due to the model not accounting for the blockage effect.
These findings offer valuable insights into the aerodynamic and thermal dynamics within large wind farms, both onshore and offshore, contributing to the optimization of wind energy production.


Jury
Michel VISONNEAU     - Rapporteur                Directeur de recherche                CNRS
Guillaume BALARAC    - Rapporteur                Professeur des universités          Université de Grenoble
Sylvain GUILLOU         - Examinateur              Professeur des universités          Université de Caen
Mickael GRONDEAU   - Examinateur              Maître de conférences                 Université de Caen
Frédéric BLONDEL      - Examinateur              Ingénieur de recherche                IFPEN
Sandrine AUBRUN      - Présidente du Jury    Professeure                                  Ecole Centrale de Nantes
Pierre SAGAUT           - Directeur de thèse     Professeur des universités           Aix-Marseille Université
Jérôme JACOB           - Membre invité            Ingénieur de recherche                CNRS 
26 juin 2024 - Hydrodynamique et parois perméables: instabilités, filtration, méthodes numériques - Soutenance HDR Denis Martinand
Date et lieu : le mercredi 26 juin à 10 heures, en amphi 3 de Centrale Méditerranée

Résumé : Dans de nombreux problèmes de mécanique des fluides, la nature des conditions aux limites a une telle influence qu'elles en deviennent plus importantes que les équations dynamiques elles-mêmes pour comprendre et prévoir les écoulements en jeu. Depuis quinze ans au M2P2, en suivant cette idée, je m'intéresse aux couplages entre hydrodynamique et transferts à travers des parois perméables et semi-perméables, de façon analytique et numérique.

Cette recherche est motivée d'une part par l'amélioration des procédés de séparation membranaire (de filtration), où l'accumulation de matière retenue dégrade les performances. Les techniques de filtration dynamique cherchent à remélanger cette matière par le biais d'instabilités et d'écoulements turbulents et leur efficacité repose, entre autre, sur une bonne compréhension et modélisation des couplages entre les phénomènes de transferts membranaires et l'hydrodynamique. L'étude de ces couplages présente d'autre part un intérêt fondamental et théorique quant aux mécanismes spécifiques d'instabilité et de mélange ou aux méthodes numériques adaptées.

J'ai étudié ces couplages dans une configuration de type Taylor-Couette, où les instabilités centrifuges sont bien modélisées et maîtrisées. Cette cellule de Taylor-Couette présente la particularité d'avoir un ou deux cylindre(s) perméable(s), laissant passer le solvant et retenant éventuellement un soluté, et dont l'influence sur l'écoulement est décrit par des conditions aux limites spécifiques. La présentation détaillera deux aspects de ces couplages. Une première question concerne le développement des instabilités centrifuges, alors que leur dynamique évolue à mesure que le fluide s'écoule vers l'aval de la cellule et est extrait à travers la membrane. Comprendre et prévoir l'apparition des instabilités peut se faire par leur modélisation en modes globaux non-linéaires, mais les simulations numériques directes montrent aussi une dynamique plus complexe. Une deuxième question concerne le couplage par la pression osmotique entre une couche limite de concentration formée par la filtration d'un soluté et les instabilités centrifuges. On observe, à la fois par les analyses de stabilité et par des simulations numériques directes, que ce couplage promeut les instabilités hydrodynamiques et permet d'augmenter le flux trans-membranaire.

Jury

Dr. Laurette TUCKERMAN, CNRS-Sorbonne Université, Rapporteure
Pr. Uwe HARLANDER, Brandenburgische Technische Universität Cottbus, Rapporteur
Pr. François GALLAIRE, Ecole Polytechnique Fédérale de Lausanne, Rapporteur
Pr. Eric CLIMENT, INP Toulouse, Examinateur
Pr. Richard M. LUEPTOW, Northwestern University, Examinateur
Dr. Eric SERRE, CNRS-Aix-Marseille Université, Examinateur
Pr. Marc MEDALE, Aix-Marseille Université, Tuteur
27 mars 2024 - Study of the dynamics and passive control of heavy ions produced by plasma-wall interaction: toward the elaboration of a predictive model in the suite of codes SOLedge2D-EIRENE from experiments on the tokamak WEST / PhD Defense Luca Cappelli
Doctorant : Luca CAPPELLI

Date : le 27 Mars 2024 à 15h00 ; CEA, IRFM, F-13108 Saint-Paul-Lez-Durance, bâtiment 506, salle René Gravier

Abstract: Fusion, in the context of tokamak devices, is suggested as an alternative for sustainable and high performance energy production. To date, one of the issues preventing its industrial development, concerns plasma-wall interactions. Power discharged from the plasma to the tokamak vessel has two main consequences: gradual erosion of mechanical components and contamination of the plasma by eroded species. Tungsten (W) has emerged as a promising material to enhance the lifespan of mechanical components in tokamaks. However, managing W concentrations in the plasma, especially in comparison to lighter species like carbon, poses a challenge. Ongoing fusion research aims for reliable modeling of erosion and transport of impurities. Modeling is fundamental to support experiments, design and prepare optimized scenarios for future reactors as ITER. In particular fluid models are a promising tool for this end, but they need proper boundary conditions. This Ph.D. thesis delves into the modeling of Werosion and redeposition through Monte Carlo techniques and analytical models in the limit of a collisionless plasma sheath and a smooth eroded surface. The research involves simulating W erosion and transport in the plasma region adjacent to a solid wall, encompassing the combined Debye sheath and Chodura sheath (referred to as the plasma sheath) and a segment of the SOL with dimensions on the order of the Larmor radius of the eroded species. The plasma sheath plays a pivotal role in the erosion and redeposition of W. It is characterized by the presence of a dominant electric field and strong electron density gradients, making kinetic models the only way to solve transport within it. A portion of this research is dedicated to building a model for the sheath, which serves as a plasma background where eroded particle transport is solved using Monte Carlo techniques. The Monte Carlo model computes redeposition probability maps, offering an alternative method to particle tracking for the calculation of redeposition. The study also explores the impact of different impinging energy distributions of ions in both erosion and redeposition. Results indicate that approximating the energy distribution of impinging ions on the eroded material with the average energy underestimates erosion and redeposition only if the average energy is close to the sputtering energy threshold. Otherwise, even using the average energy is accurate. A large database regarding W redeposition was rapidly created using the redeposition probability maps. Data was then used to train a Neural Network (NN), capable of estimating redeposition as a function of local plasma parameters. Additionally, an analytical model is provided to explain the main mechanisms of redeposition and how to roughly estimate redeposition through integration. This approach is less accurate but it is more flexible because it does not need the use of probability maps, nor it is valid for a set of fixed conditions, as the NN. The analytical model allows to rapidly estimate other important parameters such as temperature and average charge state of sputtered and not-redeposited W. Experimental testing validates the sheath model assumptions regarding the electric potential drop, showing good agreement between modeling and experimental measures. Furthermore, the analytical model is applied to the WEST database to gain insights into W sources at the lower divertor. This Ph.D. thesis contributes in plasma-material research providing fundamental insights into the physics of local W erosion and redeposition in the collisionless limit. Beyond its theoretical contributions, this work has practical implications since it provides different modeling tools to estimate local W erosion. Such tools can be integrated into multispecies plasma solvers, paving the way for innovative time-dependent simulations. This in turn could be valuable for the design and optimization of future tokamak reactors incorporating W.

Keywords: Tungsten, Erosion, Redeposition, Plasma-wall interactions, kinetic models, Monte Carlo

Jury :
David TSKHAKAYA - Czech Academy of Sciences / Rapporteur
Andreas KIRSCHNER - Institute of Energy and Climate Research / Rapporteur
Richard PITTS - ITER organization / Examinateur
George TYNAN - University of California San Diego / Examinateur
Clarisse BOURDELLE - IRFM, CEA / Examinatrice
Tiberiu MINEA - University Paris-Saclay / Président du jury
Eric SERRE - M2P2, CNRS / Directeur de thèse
Nicolas FEDORCZAK - IRFM, CEA / Co-encadrant de thèse
Yannick MARANDET - PIIM, CNRS / Membre invité