Post-Doctorant - CNRS
Groupe de recherche :
Modélisation et simulation numérique de la combustion
[Document in perpetual progress....]
My main research interests are :
Please check the "Bio" section for details of published works.
Simulation examples :
Simulation of water injection into quiescent air. Simulation performed in the DNS (Direct Numerical Simulation) manner, so without accounting for non-resolved ("subgrid") scales. Archer 3D solver, PLIC VOF used to trace the interface. Inlet velocity profiles are artificially generated using the method of Klein & Janicka. This jet is smaller than 3mm in lenght, and yet over 8 million gridpoints are needed to resolve it to shown accuracy. However, it can be shown that much more computing resources are needed before we can call this simulation fully resolved, i.e. obtain the convergence in enstrophy or kinetic energy. [Simulation performed as a part of Labex-Tuveco project devoted to multiscale studies of fluid systems].
Injection of water into quiescent air, simulated using Archer3D solver. Visible is the interface (blue surface) and the isosurface of Q-criterion (semi-transparent surface) coloured by the distance from the interface (2014). Although the spatial resolution of this simulation was relatively low for contemporary standards, the partially-resolved vortical structures created by the liquid droplets (and, in turn, interacting with them) show great ammount of features.
Three dimensional simulation of fluid injection with a turbulent co-flow. Simulation by the Archer3D team (head : A. Berlemont), rendered in Blender. (2013) Note : this particular simulation has been performed as a part of G. Vaudor’s PhD thesis. In this kind of flow, high velocity coflow "strips" liquid from the core. From a numerical point of view, great care is needed to ensure proper resolution of momentum fluxes and avoiding the introduction of any spurious surface irregularities on the jet surface.
Three-dimensional Rayleigh-Taylor instability simulated using Archer3D solver, and CLSVOF interface tracking method (2013). This test case was used both to validate the predictions of Archer code - since the initial stages of fluid motion are described the stability theory (see e.g. Chandrasekhar 1961) - as well as to investigate the subsequent, turbulent stages of fluid motion.
The same instability simulated with Archer3D code. Using 256x256x512 grid-points for discretization (with 512 processors), the resulting surface shape was rendered using Blender.
Two-dimensional Rayleigh-Taylor instability simulated using the Gerris Flow Solver (2009). Gerris is developped by S. Popinet et al. at L’Institut Jean Le Rond d’Alembert, Paris. It is a DNS (Direct Numerical Simulation) flow solver code characterized by tree-based data structures (with specific dialect of C programming language), point-based Adaptive Mesh Refinement, great stability and GNU-licensing of the source. I had the pleasure of helping in the code’s development back in 2009.
Three-dimensional Plateau-Rayleigh instability using SAILOR-CLSVOF solver (2008). The white lines are instantaneous streamlines computed by Paraview. SAILOR is a high-order (optional spectral discretization) one- and two-phase flow simulator - created by A. Tyliszczak - geared mainly towards Large Eddy Simulations. Its co-development was the object of my PhD thesis (see bio).
Three-dimensional simulation of a liquid droplet undergoing a secondary breakup, interacting with turbulent counterflow (2009). The droplet is visible in four subsequent moments of time, from left to right. Simulated in Sailor solver, as a part of research concerning secondary droplet breakup criteria (with M. Marek). Rendered in Blender.
Breakup of a conical, three-dimensional fluid sheet injected at high velocity into quiescent air. Simulated using Archer-AMR 3D code (main developper : M. Doring) with Adaptive Mesh Refinement. CLSVOF method used for interface tracking. Image rendered in Blender (2014).