Instabilité, turbulence et couplages

Écoulements industriels

Écoulements biologiques

Écoulements pour la fusion magnétique

suite...

Instabilities, Turbulence and Coupling
Présentation

The team develops a multidisciplinary expertise centered around numerical modeling and the study of neutral or ionized (plasma) fluid flows for the optimization of industrial or technological systems in four major fields with a strong societal impact: energy, urban planning and development, transportation, and health.
The physics of these systems is that of out-of-equilibrium and coupled phenomena, with instabilities leading to turbulence, and interactions between fluid and structure, mixing and transfers, turbulence and transport, ... which require the development of original methods and simulation codes. These studies often carried out in regimes of parameters relevant to the application are done in the context of strong collaborations with our socio-economic partners (AIRBUS, SAFRAN, IRSN, CEA, ITER, AP-HM ...) which are in the DNA of the team.

The team currently has 13 researchers and teachers, and structures its activity around 3 major families of flows.

Responsable

x >

Annuaire personnel permanent

x >

Doctorants, Post-Doctorants et CDD

x >

Dernières publications de l'équipe

  • Pierre Magnico. Wall morphology dependence of rare gas Knudsen diffusion in silica and graphite slit nanopore: A molecular dynamics study. Vacuum, 2025, 242, pp.114756. ⟨10.1016/j.vacuum.2025.114756⟩. ⟨hal-05273657⟩ Plus de détails...
  • Andres Bustos, D. Zarzoso, Alvaro Cappa, Teresa Estrada, Enrique Ascasibar. AI session leader assistant prototype for the TJ-II device. Plasma Physics and Controlled Fusion, 2025, 67 (9), pp.095014. ⟨10.1088/1361-6587/adfd80⟩. ⟨hal-04856163⟩ Plus de détails...
  • Jingqi Zhang, Mitra Fouladirad, Nikolaos Limnios, Pierre Magnico. Stochastic modeling of movement for Helium particles in a graphite channel. Physica A: Statistical Mechanics and its Applications, 2025, 675, pp.130818. ⟨10.1016/j.physa.2025.130818⟩. ⟨hal-05246509⟩ Plus de détails...
  • B Clavier, D Zarzoso, D Del-Castillo-Negrete, E Frénod. A Generative Artificial Intelligence framework for long-time plasma turbulence simulations. Physics of Plasmas, In press, ⟨10.1063/5.0255386⟩. ⟨hal-05085168⟩ Plus de détails...
  • Yaxin Shen, Mitra Fouladirad, Antoine Grall. Mathematical modeling of solar farm performance degradation in a dynamic environment for condition-based maintenance. Reliability Engineering and System Safety, 2025, 257 (Part A), pp.110778. ⟨10.1016/j.ress.2024.110778⟩. ⟨hal-05023346⟩ Plus de détails...
x >

Dernières rencontres scientifiques

Soutenances de thèses et HDR

20 novembre 2025 - Numerical simulation of fluid-structure interaction using a Lattice Boltzmann Method (LBM): application to fast transient dynamics leading to structural failure / PhD defense Hippolyte Lerogerone
Doctorant : Hippolyte LEROGERON

Date et lieu : le Jeudi 20 novembre 2025 à 14h00 au laboratoire M2P2,  dans l’amphithéâtre 3, bâtiment Plot 6,  38 Rue Frédéric Joliot Curie, 13013 

Abstract: this PhD thesis investigates the numerical simulation of fast transient events involving fluid-structure interactions using advanced computational methods. The primary goal is to improve computational efficiency in parallel  environments by integrating a Lattice Boltzmann Method within a partitioned fluid-structure coupling solver. In this scope, an existing immersed boundary method is extended to compressible flow regimes in order to handle complex and moving geometries efficiently. Structural dynamics is resolved using a finite element solver. Special attention is given to the treatment of multiple scales in space and time related respectively to fluid and solid domain, enabling optimal resolution of each subsystem. The accuracy and performance of the proposed approach are validated through a series of test cases of increasing complexity, showing strong agreement with experimental results and existing numerical results. Finally, large-scale simulations involving structural fragmentation are realized to demonstrate the method's robustness and scalability for practical applications. These results offer new perspectives for the simulation of explosion-induced fluid-structure interactions, paving the way to faster and more detailed predictions.

Keywords: Fluid-Structure Interaction, Fast Transient, Lattice Boltzmann Method, Immersed Boundary Method, Finite Element, Partitioned Coupling, Fracture, Fragmentation

Jury :
Virginie DARU                     ENSAM             Rapporteure                         
Miguel FERNÁNDEZ            INRIA            Rapporteur
Marc MASSOT                Ecole Polytechnique Paris     Président
Vegard AUNE          NTNU, Norvège             Examinateur
Julien FAVIER                     Université d’Aix-Marseille     Directeur de thèse
Pierre BOIVIN                     CNRS             Co-directeur de thèse
Vincent FAUCHER               CEA Cadarache             Co-encadrant de thèse

13 décembre 2024 - A 3D electromagnetic model in SOLEDGE3X: Application to turbulent simulations of tokamak edge plasma / Raffael Düll PhD Defense
Doctorant : Raffael Düll

Date : Vendredi 13 Décembre 2024 à 15:00 ; CEA Cadarache, bât. 506, 13108 Saint-Paul-Lez-Durance

Abstract: In the tokamak edge, steep gradients and magnetic curvature generate large-scale turbulent structures that transport plasma particles from the hot core, where fusion occurs at around 10 keV, to the much colder Scrape-Off-Layer (SOL), where magnetic field lines intersect the physical wall. Turbulence reduces plasma confinement and defines the region where strong heat fluxes impact the divertor. The drift-reduced fluid code SOLEDGE3X, developed by CEA/IRFM in collaboration with Aix-Marseille University, has proven effective in simulating electrostatic resistive drift-wave turbulence in realistic tokamak geometries. However, both experimental and numerical results have shown that electromagnetic effects significantly impact drift-wave dynamics, and thus, edge plasma turbulence. This thesis introduces a new electromagnetic model in SOLEDGE3X for the vorticity equation, incorporating magnetic induction, electromagnetic flutter, and electron inertia. Magnetic induction accounts for the time variation of the parallel magnetic vector potential Apara in the definition of the parallel electric field, and Apara is related to the parallel current density Jpara via Ampère's law. Fluctuations in the magnetic field, termed flutter, are added at first order and are assumed to be small compared to the equilibrium field. Electron inertia, represented by a finite electron mass in Ohm's law, is necessary to constrain shear Alfvén wave speeds to physical values. The new fields Apara and Jpara are integrated into the flux-surface-aligned FVM framework on a poloidally and toroidally staggered grid. Flutter affects the parallel transport equations and gradients in Ohm's law, and its implementation required special care to account for the new radial component of the parallel direction. To handle timesteps larger than Alfvénic, electron thermal, or electron-ion collision times, the corresponding inductive, inertial, and resistive effects are solved implicitly in a coupled 3D system for the potentials Phi and Apara. The model was verified with manufactured solutions and validated on a linear slab case, which demonstrated the expected transition from Alfvén to thermal electron waves as the perpendicular wavenumber increased. Flutter contributes minimally to cross-field transport but affects the non-adiabatic potential response to density fluctuations in Ohm's law. Simulations in slab, circular (limited), and X-point (diverted) geometries consistently show that electron inertia and magnetic induction destabilize drift-wave turbulence, while flutter stabilizes it in both the linear and nonlinear phases. On open field lines, magnetic induction reduces the sensitivity of turbulent structures to sheath effects, promoting further turbulence spreading in the SOL. Numerically, electron inertia significantly improves the condition number of the vorticity system, especially in hot plasmas with low resistivity, providing a factor-four speedup even in electrostatic scenarios. However, adding flutter degrades code performance, as it requires solving implicit 3D systems for viscosity and heat diffusion problems that were previously treated as uncoupled 2D systems on each flux surface. As an extension to this work, perturbations to the magnetic equilibrium were externally imposed in a transport mode simulation to study heat deposition in a non-axisymmetric magnetic configuration with ripple on WEST. 

Jury:
Directeur de these    M. Eric SERRE CNRS M2P2
Rapporteur            M. Benjamin DUDSON Lawrence Livermore National Laboratory
Rapporteur            M. Boniface NKONGA Université Côté d'Azur
Examinateur            M. Paolo RICCI EPFL
Président            M. Eric NARDON CEA Cadarache
Examinateur            Mme Daniela GRASSO Politecnico de Torino
Co-encadrant de these M. Hugo BUFFERAND CEA Cadarache
11 décembre 2024 - Advanced numerical modelling of transport in tokamak plasma and confrontation to experiments / Ivan Kudashev PhD Defense
Doctorant : Ivan Kudashev

Date : jeudi 12/12 à 14h00, amphi N°3 ; Centrale Méditerranée ; 38 rue Joliot-Curie, 13013 Marseille

Abstract : To control heat deposition on the Plasma-Facing Components (PFCs) of current tokamaks and future reactors, a major effort is underway to develop fluid codes that can model turbulent transport in the plasma edge. Understanding the underlying physical processes is one of the key challenges in magnetic fusion research, especially with the upcoming launch of the International Thermonuclear Experimental Reactor (ITER). Despite significant advances in plasma fluid simulations, several challenges in the modelling remain. These include limitations related to fixed magnetic equilibrium, simplified boundary conditions to model plasma wall interactions, time-consuming neutral transport simulations, crude perpendicular turbulent transport models, and limited coupling between the plasma core and the Scrape-Off Layer (SOL). These limitations hinder full-discharge simulations, restricting analysis to a few snapshots of relatively stable plasma phases, which still carry significant uncertainties. This thesis contributes to the ongoing development of the SolEdge-Hybridized Discontinuous Galerkin (HDG) code, a magnetic equilibrium-free fluid plasma solver. The research focuses on improving the physical completeness of the code and enhancing its ability for experimental validation. A detailed overview of the SolEdge-HDG code is provided, highlighting the initial models and assumptions. The implementation of the HDG method is discussed, which allows the use of high-order meshes that are not aligned with the magnetic field, enabling precise descriptions of tokamak wall geometries. Key developments in the SolEdge-HDG suite include the creation of synthetic diagnostics (bolometer and visible range cameras), improving the code's ability to compare simulations with experimental data. These comparisons revealed shortcomings in the initial physical models, which have been addressed in this thesis. Improvements include a more consistent neutral fluid model, which is crucial for understanding tokamak fueling, as well as the introduction of new heat sources and a self-consistent heuristic perpendicular turbulent transport fluid model. The enhanced SolEdge-HDG code successfully captures key plasma regimes, such as sheath-limited, high-recycling, and detached states. A detailed study is conducted on the plasma’s response to variations in gas puffing, demonstrating its impact on tungsten sputtering. The extension of the bolometer system in WEST for more accurate measurements is also explored, as well as potential applications of visible camera diagnostics. The thesis demonstrates the first application of the self-consistent turbulent model to simulate a full cross-section during the ramp-up phase of a WEST discharge. The simulation results show qualitative agreement with experimental data. The interaction between evolving plasma equilibrium and the turbulent model is also discussed, with emphasis on its effect on divertor heat load predictions. Applications of the fully upgraded SolEdge-HDG model are further explored for steady-state plasmas with additional heating. Special attention is given to the turbulent model’s response to different heating methods and the process of ion-electron energy equilibration. Finally, the thesis illustrates the application of SolEdge-HDG and synthetic diagnostics to improve tokamak design. It examines the impact of reflections on bolometer signals and evaluates various approaches for tomographic inversions of plasma radiation. An application to the final design of the ITER bolometer system is also presented. This work demonstrates the expanded capabilities given by magnetic-equilibrium-free solver for tokamak design and operation. The integration of synthetic diagnostics not only allows to confront simulations to the experiments, but also sheds light to the model’s weaknesses. While some limitations remain, the code suite is already capable to solve key operational design challenges. 

Jury:
Directeur de these          M. Eric SERRE CNRS, M2P2
Co-encadrant de these  Mme Anna GLASSER CNRS, M2P2
Président                  Mme Pascale HENNEQUIN CNRS, LPP
Examinateur                  M. Alberto LOARTE ITER
Rapporteur                  Mme Eleonora VIEZZER University of Sevilla
Rapporteur                  M. Jeremy LORE ORNL