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Welcome to the YALES2 gallery

Selected images and videos of high-fidelity simulations

  Combustion
  Two-phase flows
Two-phase flow simulations with the spray solver (Conservative Level Set + Ghost-Fluid Method) and with the Lagrangian spray solver
  Granular flows
DEM (Discrete Element Method) simulations of granular flows
  Aerodynamics
Large-Eddy Simulation of aerodynamics of complex bodies

Large-Eddy Simulation of wind turbines wakes

  Heat transfers
Large-Eddy Simulation of aerodynamics of complex bodies
  Biomechanics
Large-Eddy Simulation of aerodynamics of complex bodies
  Advanced numerics
Large-Eddy Simulation of aerodynamics of complex bodies

Combustion

PRECCINSTA Burner (Vincent Moureau)

Direct Numerical Simulation of an aeronautical burner [1]. The mesh features 2.6 billion tetrahedrons and a resolution of 100 microns.

PRECCINSTA burner with YALES2
Iso-surface of the Q criterion for the isothermal case
Temperature field for the fully premixed reacting case
OH radical field for the fully premixed reacting case
Couverture du Numéro Spécial Calcul Intensif des Comptes Rendus de Mécanique de l'académie des sciences


KIAI burner (Vincent Moureau)

Large-Eddy Simulations of a swirl burner designed and operated at CORIA (J.P. Frenillot, G. Cabot, B. Renou, M. Boukhalfa).

KIAI burner with YALES2
Velocity field for the cold flow - 382M tetrahedrons
Q-criterion for the cold flow - 382M tetrahedrons


Stratified combustion (Catherine Gruselle, Vincent Moureau, Ghislain Lartigue & Yves D'Angelo)

Large-Eddy Simulation and Direct Numerical Simulation of flame kernel development in a stratified propane/air mixture. The turbulent simulation (left movie) reproduces the experimental measurements of Balusamy S., Lecordier B. and Cessou A. from CORIA.

Stratified combustion with YALES2


Two phase flow tabulated chemistry

2D Large-Eddy Simulation, injection of a premixed kerosene/air mixture on the left with a high level of turbulence. Some kerosene droplets are added to this premixing.

Two phase flow combustion with YALES2


Two phase flow in the MERCATO burner (Benjamin Farcy)

3D simulation of the MERCATO burner under reactive conditions. Particles are two-way coupled with the gaseous phase.

MERCATO burner with YALES2
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Reactive flow in the MESOCORIA burner (Pierre Benard, Vincent Moureau, Ghislain Lartigue & Yves D'Angelo)

3D simulation of the MESOCORIA burner under reactive conditions: H2/CH4/air.


MESO-CORIA burner with YALES2

Aerodynamics

Formula One (David Taieb, Guillaume Ribert & Vincent Moureau)

Computation of a Formula 1 meeting with the 2010 regulations.

The design is based on the 2008 car which was simulated with the Fluent software with less than one million cells. The new car has the main features observed during the early part of F1 season, like the coca bottle shaped sidepods, the double-deck diffuser, the outer mirror disposition (forbidden by the FIA in the second part of the season), the three elements front wing.

The body of the car is discretized with 6.5mm element leading to 36 M cells in the computational domain.

Formula One with YALES2
Formula 1 with 36 Million cells - Streamlines
Formula 1 with 36 Million cells - Iso-Q criterion


Interaction between two Le Mans Series prototypes (David Taieb, Guillaume Ribert & Vincent Moureau)

Interaction between two Le Mans Series prototypes with YALES2
Instantaneous streamlines colored by velocity RMS.
centerContour of pressure on the upper bodywork.
Streamlines of averaged velocity colored by velocity RMS.
Longitudinal slice of instantaneous velocity and downforce on bodies.

NTNU wind tunnel (Félix Houtin-Mongrolle, Pierre Bénard, Ghislain Lartigue & Vincent Moureau)

This simulation represent results led in NTNU wind tunnel [1] by the YALES2 flow solver. This configuration present two aligned wind turbines to investigate wakes interaction. In this case the first wind turbine is yawed, i.e not aligned with the mean streamwise velocity. Moreover, the wind tunnel inflow is triggered by a upstream turbulence grid generating a sheared turbulent inflow. Such grid is modelled using an interesting method based on the actuator line method and can be found in [2].

[1] https://doi.org/10.5194/wes-3-883-2018 [2] https://doi.org/10.1080/14685248.2020.1803495

Similar study for various inflows and yaw angles can be found in this paper: https://iopscience.iop.org/article/10.1088/1742-6596/1618/6/062064

LES of two aligned wind-turbine in a wind tunnel

NREL5MW under yaw with tower and nacelle (Félix Houtin-Mongrolle, Pierre Bénard, Ghislain Lartigue & Vincent Moureau)

Initialization of the simulation of an increasingly yawed NREL5MW (Horizontal axis Wind turbine, Diameter=126m). The inlet velocity is 8m/s. Wind turbine blades, tower and nacelle are repsresented using the actuator line method.

Volumic rendering of vorticity magnitude allow to observe the main vortices generated in the wake. Between 10s and 30s, the wind turbine is slowly reaching a yaw angle of 30°. The generated tip vortices are interacting with the tower and nacelle wake, triggering the vortices destabilization. The bottom boundary condition use a wall law model, which slowly generate a boundary layer type flow.

This case had been run on TGCC Irene Joliot-Curie supercomputer, on the Skylake partition. The cost of the simulation time (60s) is 3.7khCPU with a wall clock time of 6h on 616 cores.


LES of yawed NREL5MW wind turbine with tower and nacelle

DTU10MW under yaw and turbulence (Félix Houtin-Mongrolle, Pierre Bénard, Ghislain Lartigue & Vincent Moureau)

High fidelity Large Eddy Simulations of the DTU10MW (Horizontal Axis Wind Turbine, Diameter=178,3m) under two differents inflows and two yaw angles. The inlet velocity is 10m/s, for one of the inflow Mann synthetic turbulence is added to the mean. Wind turbine blades are repsresented using the actuator line method.

Q-criterion contour colored by streamwise velocity allow to observe the rotor tip vortices destabilization in the wake. For the cases with synthetic turbulence, the background vortices are in transparency. With meshes gathering up to 1.7 Billions elements, the resolution allow to capture the fine interaction of tip vortices and the wake evolution up to 12 diameter (~2.2km). The results are discussed in the following paper: https://iopscience.iop.org/article/10.1088/1742-6596/1934/1/012011

This work is part of the PRACE project WIMPY - Wind turbine Multi Physics. These cases have been run on TGCC Irene Joliot-Curie supercomputer, on the AMD Rome partition on 8448 cores.

High fidelity LES of yawed DTU10MW wind turbine under turbulent/non-turbulent inflows

Vertical Axis Turbine Simulation (Félix Houtin-Mongrolle, Pierre Bénard, Ghislain Lartigue & Vincent Moureau)

Initialization of the simulation of the interaction between the vortices shed by a bluff body and a vertical axis hydro turbine (VAHT, Diameter=3m). The inlet flow velocity is 5m/s.

The Strouhal number of the bluff body is synchronized with the VAHT rotation speed (TSR=3.14). The generated vortices are then transported and impact the VAHT blades profiles (DU40) when they are facing downstream.

This case had been run on TGCC Irene Joliot-Curie supercomputer, on the AMD Rome partition. The cost of one flow though time (5s) is 5.4khCPU with a wall clock time of 6.1h on 896 cores.


Vertical Axis Turbine Simulation

Heat transfers

T7.2 Blade (Nicolas Maheu)

Large-Eddy Simulation of heat exchanges on a turbine blade.

T7.2 blade with YALES2
T7.2 Blade - Iso-Q criterion - 240M tetrahedrons
T7.2 Blade - Iso-T 325K - 240M tetrahedrons


Two-phase flows

Triple disk injector (Vincent Moureau)

Computation of a Triple Disk injector (Grout et al 2007). The densities and viscosities are those of water and air at atmospheric pressure and temperature. The video on the left was performed with 203 million tets and the one on the right with 1.6 billion tets with a resolution of 2.5 microns.

Primary atomization with YALES2


Pouring flow (Vincent Moureau and Olivier Desjardins)

Sample computation of a 2D two-phase flow with realistic properties for air and water to highlight the robustness of the method developed by Desjardins and Moureau at the 2010 CTR Summer Program.

Primary atomization with YALES2


Splashing (Vincent Moureau)

2D computation with YALES2 of a Lagrangian spray splashing on a wall and forming a film modeled with a level set and the Ghost Fluid Method. The grey particles and the grey film have the properties of water and the color represents the velocity magnitude in the gas. The Lagrangian particle are one-way coupled to the gas through drag for sake of simplicity.

Wall splashing with YALES2


Lagrangian simulation of the MERCATO burner (Lola Guedot)

3D simulation of the MERCATO burner under isothermal conditions. Particles are two-way coupled with the gaseous phase. The mesh consists of 326 million tetrahedra. Velocity magnitude (top) and evaporated fuel mass fraction (bottom) are displayed in the mid-plane.

MERCATO burner with YALES2
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Bio-mechanics from I3M lab in Montpellier

Simulation of a cardiac cycle (Christophe Chnafa, Simon Mendez, Franck Nicoud)

Cardiac cycle with YALES2

3D computation of a cardiac cycle with the Arbitrary-Lagrangian Eulerian solver of YALES2. This solver and the calculations were done in the I3M lab of the University of Montpellier by C. Chnafa, S. Mendez and F. Nicoud. The color in the movie represents the vorticity.

The grid on which the fluid problem is computed is extracted from 4D (3D + time) medical images from a patient. Ten 3D images are taken from different times during the heart cycle. A grid is extracted from one medical image using a segmentation protocol. Then, grid deformations are computed from the combination of an image registration algorithm and of interpolations process. Hence, boundary movements are extracted from medical images and applied as boundary conditions for the fluid problem, resulting in a patient-specific computation. The spatial resolution is imposed to be close to 0.8 mm in all three spatial directions along the cycle, which yields grids of approximately three-million tetrahedral elements. Valves are modelled by immersed boundaries, and the heart is handled by a conformal mesh.


Granular flows

Settling of spherical particles (Yann Dufresne)

These results are obtained with the granular flow solver of YALES2 developed during the PhD thesis of Y. Dufresne funded by the ANR project MORE4LESS coordinated by IFP-EN. The flow solver is highly scalable and enables to perform simulations of the settling of 10 million soft spheres on 512 cores of the Curie machine (GENCI, CEA).

Granular flow solver of YALES2


Advanced numerics

Immersed boundaries on unstructured grids (Vincent Moureau)

On the left, 2D computation with YALES2 of the flow around two moving cylinders with an immersed boundary technique implemented for unstructured grids. The color represents the velocity magnitude. On the right, simulation of a stirred-tank reactor with YALES2. The mesh consists of 31 million tetrahedra. Simulation performed by V. Moureau from CORIA and N. Perret from Rhodia-Solvay.

Immersed boundaries with YALES2


Dynamic mesh adaptation (Vincent Moureau)

Demonstration of 2D and 3D dynamic mesh adaptation with YALES2. 2D remeshing is based on in-house Delaunay triangulation and 3D remeshing is based on the MMG3D library developed by C. Dobrzynski at INRIA.

Dynamic mesh adaptation with YALES2