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Guillaume Balarac    

Guillaume Balarac

Maître de conférences
Téléphone : 04.76.82.51.42
Courriel : Guillaume.Balarac(A)legi.grenoble-inp.fr
Bureau : A116
Équipe : MOST

Voir en ligne : Guillaume Balarac WebPage

Proposition de thèse

- Numerical Study of the Physics of assisted Atomization to Control its Efficiency

- Görtler vortices and induced mixing in gravity currents over curved boundaries : Numerical, theoretical and experimental approaches.


Activité de recherche

Guillaume Balarac est responsable de l’équipe "Modélisation et Simulation de la Turbulence" (MoST). Les travaux de recherche de l’équipe portent principalement sur l’étude numérique de la dynamique de la turbulence et de ses conséquences dans les écoulements d’intérêt industriel et géophysique. L’équipe développe des simulations directes de toutes les échelles de l’écoulement (SND) mais également des simulations des grandes échelles (SGE) pour la simulation d’écoulements à grand nombre de Reynolds. Cette dernière technique de simulation consiste à résoudre explicitement les plus grandes échelles de l’écoulement et à prendre en compte les échelles inférieures à la discrétisation par des modèles sous-maille. Cela permet de réaliser des simulations instationnaires tridimensionnelles dans des configurations qui ne sont pas encore accessibles au calcul direct. L’accès aux quantités instantanées fait de cette technique un outil d’intérêt pour la modélisation de la turbulence. Dans ce contexte, l’équipe a deux types d’activités. Une première activité consiste à développer des outils pour accroître nos compétences et notre savoir-faire en simulations numériques. Il s’agit alors de développer des modèles physiques ou des techniques numériques nous permettant de réaliser des simulations directes ou des grandes échelles plus complexes géométriquement ou physiquement. Le développement de modèles sous-maille précis pour la SGE en est un exemple. La seconde activité consiste à utiliser ces simulations comme des expériences numériques pour comprendre finement la physique des écoulements turbulents et leurs conséquences.


Formation et expériences

- 2017 - 2022

  • Membre junior de l’Institut Universitaire de France (IUF)

- Décembre 2015

- Depuis sep. 2008

  • Maître de conférence, ENSE3 (Grenoble-INP).
  • Responsable de l’équipe "Modélisation et Simulation de la Turbulence" (LEGI).

- 2007 – 2008

- 2003 – 2006

  • Thèse de doctorat "Etude numérique de la dynamique tourbillonnaire et du mélange dans les jets coaxiaux turbulents" (directeurs de thèse : Pr. M. Lesieur et Pr. O. Métais), G-INP, LEGI.


Publications

Peer-reviewed Publications

2017
Canet, L., Rossetto, V., Wschebor, N., & Balarac, G. (2017). Spatiotemporal velocity-velocity correlation function in fully developed turbulence. Physical Review E, 95, 023107.
Pushkarev, A., Balarac, G., & Bos, W. J. T. (2017). Reynolds and Prandtl number scaling of viscous heating in isotropic turbulence. Physical Review Fluids, 2, 084606.
Vollant, A., Balarac, G., & Corre, C. (2017). Subgrid-scale scalar flux modelling based on optimal estimation theory and machine-learning procedures. Journal of Turbulence, 18(9), 854–878.
2016
Benard, P., Balarac, G., Moureau, V., Dobrzynski, C., Lartigue, G., & D'Angelo, Y. (2016). Mesh adaptation for large-eddy simulations in complex geometries. International Journal for Numerical Methods in Fluids, .
Kessar, M., Balarac, G., & Plunian, F. (2016). The effect of subgrid-scale models on grid-scale/subgrid-scale energy transfers in large-eddy simulation of incompressible magnetohydrodynamic turbulence. Physics of Plasmas, .
Vollant, A., Balarac, G., & Corre, C. (2016). A dynamic regularized gradient model of the subgrid-scale stress tensor for large-eddy simulation. Physics of Fluids, .
Wilhelm, S., Balarac, G., Métais, O., & Ségoufin, C. (2016). Analysis of Head Losses in a Turbine Draft Tube by Means of 3D Unsteady Simulations. Flow, Turbulence and Combustion, .
2015
Capuano, F., Coppola, G., Balarac, G., & De Luca, L. (2015). Energy preserving turbulent simulations at a reduced computational cost. Journal of Computational Physics, .
Decaix, J., Balarac, G., Dreyer, M., Farhat, M., & Munch, C. (2015). RANS and LES computations of the tip- leakage vortex for different gap widths. Journal of Turbulence, 16(4), 309–341.
Kessar, M., Plunian, F., Stepanov, R., & Balarac, G. (2015). Non-Kolmogorov cascade of helicity-driven turbulence. Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, .
Odier, N., Balarac, G., Corre, C., & Moureau, V. (2015). Numerical study of a flapping liquid sheet sheared by a high-speed stream. International Journal of Multiphase Flow, 77, 2259.
2014
Stepanov, R., Plunian, F., Kessar, M., & Balarac, G. (2014). Systematic bias in the calculation of spectral density from a three-dimensional spatial grid. Physical Review E : Statistical, Nonlinear, and Soft Matter Physics, , 053309.
2013
Balarac, G., Le Sommer, J., Meunier, X., & Vollant, A. (2013). A dynamic regularized gradient model of the subgrid-scale scalar flux for large eddy simulations. Physics of Fluids, , 075107.
Brugière, O., Balarac, G., Corre, C., Metais, O., Flores, E., & Leroy, P. (2013). Numerical optimization of a Francis turbine's guide vane axis location including inflow uncertainties. La Houille Blanche – Revue internationale de l'eau, .
Congedo, P. M., Balarac, G., Duprat, C., & Corre, C. E. (2013). Numerical prediction of turbulent flows using Reynolds-averaged Navier-Stokes and large-eddy simulation with uncertain inflow conditions. International Journal for Numerical Methods in Fluids, 72(3), 341–358.
Duchaine, F., Maheu, N., Moureau, V., Balarac, G., & Moreau, S. (2013). Large-Eddy Simulation and Conjugate Heat Transfer Around a Low-Mach Turbine Blade. Journal of Turbomachinery, .
Lagaert, J. - B., Balarac, G., & Cottet, G. - H. (2013). Hybrid spectral-particle method for the turbulent transport of a passive scalar. Journal of Computational Physics, 260, 127–142.
2011
Duprat, C., Balarac, G., Métais, O., Congedo, P. M., & Brugière, O. (2011). A wall-layer model for large-eddy simulations of turbulent flows with/out pressure gradient. Physics of Fluids, 23, 015101.
Fabre, Y., & Balarac, G. (2011). Development of a new dynamic procedure for the Clark model of the subgrid-scale scalar flux using the concept of optimal estimator. Physics of Fluids, 23, 115103.
2010
Duprat, C., Balarac, G., Métais, O., & Laverne, T. (2010). Simulation des Grandes Echelles d'un Aspirateur de Centrale Hydraulique. Mécanique and Industries / Mécanique et Industries, 10(3).
2009
Kaul, C. M., Raman, V., Balarac, G., & Pitsch, H. (2009). Numerical errors in the computation of subfilter scalar variance in large eddy simulations . Physics of Fluids, 21, 055102.
2008
Balarac, G., Pitsch, H., & Raman, V. (2008). Development of a dynamic model for the subfilter scalar variance using the concept of optimal estimators. Physics of Fluids, 20, 035114.
Balarac, G., Pitsch, H., & Raman, V. (2008). Modeling of the subfilter scalar dissipation rate using the concept of optimal estimators. Physics of Fluids, 20, 091701.
Brun, C., Balarac, G., Da Silva, C. B., & Métais, O. (2008). Effects of molecular diffusion on the subgrid-scale modeling of passive sclars. Physics of Fluids, 20, 025102.
Desjardins, O., Blanquart, G., Balarac, G., & Pitsch, H. (2008). High order conservative finite difference scheme for variable density low Mach number turbulent flows. Journal of Computational Physics, 227(15), 7125–7159.
Pitsch, H., Desjardins, O., Balarac, G., & Ihme, M. (2008). Large-eddy simulation of turbulent reacting flows. Progress in Aerospace Sciences, 44(6), 466–478.
2007
Balarac, G., Métais, O., & Lesieur, M. (2007). Mixing enhancement in coaxial jets through inflow forcing : a numerical study. Physics of Fluids, 19.
Balarac, G., Si-Ameur, M., Lesieur, M., & Métais, O. (2007). Direct numerical simulations of high velocity ratio coaxial jets : mixing properties and influence of upstream conditions. Journal of Turbulence, 8(22), 1–27.
Balarac, G., Si-Ameur, M., Lesieur, M., & Métais, O. (2007). Direct numerical simulations of high velocity ratio coaxial jets: Mixing properties and influence of upstream conditions. Journal of Turbulence, 8(1), 1–17.
2005
Balarac, G., & Métais, O. (2005). The near field of coaxial jets: a numerical study. Physics of Fluids, 17, 065–102.
Balarac, G., & Si-Ameur, M. (2005). Mixing and coherent vortices in turbulent coaxial jets, Comptes Rendus Mécanique. Comptes rendus de l'Académie des sciences. Série IIb, Mécanique, 333(8).
2003
Da Silva, C. B., Balarac, G., & Métais, O. (2003). Transition in high velocity ratio coaxial jets analyzed direct numerical simulations. Journal of Turbulence, 4(24).

Conference Proceedings

2016
Guillaud, N., Balarac, G., Goncalves, E., & Zanette, J. (2016). Large eddy simulations on vertical axis hydrokinetic turbines and flow phenomena analysis. In 28th Symposium on Hydraulic Machinery and Systems, IAHR 2016. Grenoble, France.
2015
Guillaud, N., Balarac, G., & Goncalves, E. (2015). LES on a pitching airfoil : analysis of the aerodynamic coefficients unsteadiness. In 4th International Conference on Turbulence and Interactions. Cargèse, France.
Wilhelm, S., Balarac, G., Metais, O., & Ségoufin, C. (2015). Analysis of head losses in a turbine draft tube by means of 3D unsteady simulations. In Turbulence Heat and Mass Transfer 8. Sarajevo, Bosnia and Herzegovina.
2014
Odier, N., Balarac, G., & Corre, C. E. (2014). Numerical simulations of a liquid sheet surrounded by a fast stream: interaction between phase interface dynamics and coherents vortices. In 10th European Fluid Mechanics Conference. Copenhagen, Denmark.
Vollant, A., Balarac, G., & Corre, C. E. (2014). Optimal subgrid scale model for passive scalar based on artificial neural network. In 10th European Fluid Mechanics Conference.. Copenhagen, Denmark.
Vollant, A., Balarac, G., Geraci, G., & Corre, C. E. (2014). Optimal estimator and artificial neural network as efficient tools for the subgrid-scale scalar flux modeling. (pp. 1–10). Stanford, United States.
2013
Balarac, G., Cottet, G. - H., Etancelin, J. - M., Lagaert, J. - B., Pérignon, F., & Picard, C. (2013). Multi-scale problems, high performance computing and hybrid numerical methods. In M. Wakayama, & et al. (Eds.), FMI 2013 – Forum ?Math-for-Industry? 2013 (pp. 245–255). Mathematics for Industry (MFI), 1. Fukuoka, Japan: Springer.
2012
Balarac, G., Le Sommer, J., & Vollant, A. (2012). Subgrid-scale modeling of SGS scalar flux: a regularization of the gradient model. In Proceedings of the Summer Program 2012 (pp. 97–107). Stanford, United States.
Brugière, O., Balarac, G., Corre, C. E., Métais, O., Flores, E., & Leroy, P. (2012). Numerical optimization of a Francis turbine's guide vane axis location including inflow uncertainties. In SimHydro 2012 : Nouvelles frontières de la simulation (pp. 1–8). Sophia-Antipolis, France.
Brugière, O., Balarac, G., Corre, C. E., Métais, O., Flores, E., & Leroy, P. (2012). Numerical prediction of a draft tube flow taking into account uncertain inlet conditions. In 26th IAHR Symposium on Hydraulic Machinery and Systems (pp. 1–8). Pékin, China.
Lagaert, J. - B., Balarac, G., Cottet, G. - H., & Bégou, P. (2012). Particle method: an efficient tool for direct numerical simulations of a high Schmidt number passive scalar in turbulent flow. In Summer Program 2012. Center of Turbulence Research (pp. 167–176). Stanford, United States.
Vollant, A., Balarac, G., & Corre, C. E. (2012). Passive scalar LES using an optimal estimator as SGS model. In 9th European Fluid Mechanics Conference. Rome, Italy.
2011
Congedo, P. M., Balarac, G., Corre, C. E., & Duprat, C. (2011). Effects of inlet uncertainties on prediction of turbulent flows using RANS and LES simulations. In 20th AIAA Computational Fluid Dynamics Conference. AIAA 2011-3869. Honolulu, Hawaii, USA, United States.
2010
Balarac, G., Kosovichev, A., Brugière, O., Wray, A., & Mansour, N. (2010). Modeling of the subgrid-scale term of the filtered magnetic field transport equation. In Proceedings of the Summer Program 2010. Stanford, United States: Stanford University.
Congedo, P. M., Brugière, O., Balarac, G., Métais, O., & Duprat, C. (2010). A wall model for LES of turbulent flows with/out pressure gradient. In ERCOFTAC Workshop Direct and Large Eddy Simulation 8. Eindhoven, Netherlands.
Duprat, C., Balarac, G., Métais, O., & Laverne, T. (2010). Large-eddy simulation calculation from experimental measurement. In 3rd IAHR International Meeting of the Workgroup on Cavitation and Dynamic Problems in Hydraulic Machinery and Systems. Czech Republic.
Duprat, C., Tridon, S., Balarac, G., Barre, S., Métais, O., Ségoufin, C., et al. (2010). Numerical Simulation of Swirling Flow in Complex Hydroturbine Draft Tube using Large Eddy Simulation. In Fifth European Conference on Computational Fluid Dynamics ECCOMAS. Portugal.
2009
Balarac, G., Duprat, C., & Métais, O. (2009). LES of a high Reynolds number swirling flow in a conical diffuser. In Direct and Large-Eddy Simulations VII. Germany.
Cottet, G. - H., Balarac, G., & Coquerelle, M. (2009). Subgrid particle resolution for the turbulent transport of a passive scalar. In B. Eckhardt (Ed.), 12th EUROMECH European Turbulence Conference (pp. 779–782). Springer Proceedings in Physics, 132. Marburg, Germany: Springer.
Cottet, G. - H., Balarac, G., & Coquerelle, M. (2009). Subgrid particle resolution for the turbulent transport of a passive scalar. In B. Eckhardt (Ed.), 12th EUROMECH European Turbulence Conference (pp. 779–782). Advances in Turbulence XII Proceedings of the 12th EUROMECH European Turbulence Conference, September 7-10, 2009, Marburg, 132. Marbourg, Germany: Springer.
Duprat, C., Balarac, G., & Métais, O. (2009). Simulation des grandes échelles dans un aspirateur de centrale hydraulique. In Congrès Français de Mécanique. France.
Duprat, C., Balarac, G., & Métais, O. (2009). Wall boundary conditions in large-eddy simulation for high Reynolds number flow with pressure gradient. In Colloquium of the European Mechanics. Germany.
Duprat, C., Balarac, G., Métais, O., Tridon, S., Barre, S., Ciocan, G. D., et al. (2009). Large-eddy simulation of draft tube flow and validation from experimental measurements. In 3rd IAHR International Meeting of the Workgroup on Cavitation and Dynamic Problems in Hydraulic Machinery and Systems. Czech Republic.
Kaul, C. M., Raman, V., Balarac, G., & Pitsch, H. (2009). A Posteriori analysis of numerical errors in computing scalar variance. In Quality and Reliability of Large-Eddy Simulations workshop. Italy.
Kaul, C. M., Raman, V., Balarac, G., & Pitsch, H. (2009). Numerical errors in scalar variance models for large eddy simulation. In Turbulent Shear Flow Phenomena VI. South Korea.
2005
Balarac, G., Si-Ameur, M., Lesieur, M., & Métais, O. (2005). Direct numerical simulations of coaxial jets mixing properties. In 4th Turbulent shear flow phenomena. WILLIAMSBURG, United States.
Balarac, G., Si-Ameur, M., Lesieur, M., & Métais, O. (2005). Mélange dans les jets coaxiaux : simulations instationnaires. In Colloque d'Aérodynamique appliquée. TOULOUSE, France.
Balarac, G., Si-Ameur, M., Métais, O., & Lesieur, M. (2005). Large-eddy simulation of coaxial jets : coherent structures and mixing properties. In ERCOFTAC Workshop – Direct and large-eddy simulation VI. POITIERS, France.
2004
Balarac, G., & Métais, O. (2004). Coherent vortices in coaxial jets. In C. I. M. N. E. /B. Publishers (Ed.), ETC 10 (pp. 149–152). TRONDHEIM, Norway: Anderson and P.A. Krogstad (eds).

Ph.D. Theses

2006
Balarac, G. (2006). Numerical study of vortex dynamics and mixing in turbulent coaxial jets. Ph.D. thesis, Institut National Polytechnique de Grenoble - INPG, .

Book Contributions

2015
Decaix, J., Balarac, G., & Munch, C. (2015). Rans Computations of a Cavitating Tip Vortex. In Advances in Hydroinformatics.