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Featured researches published by Jalel Chergui.


Journal of Mechanical Science and Technology | 2017

A solver for massively parallel direct numerical simulation of three-dimensional multiphase flows

Seungwon Shin; Jalel Chergui; Damir Juric

We present a new solver for massively parallel simulations of fully three-dimensional multiphase flows. The solver runs on a variety of computer architectures from laptops to supercomputers and on 262144 threads or more (limited only by the availability to us of more threads). The code is wholly written by the authors in Fortran 2008 and uses a domain decomposition strategy for parallelization with MPI. The fluid interface solver is based on a parallel implementation of the LCRM hybrid front tracking/level set method designed to handle highly deforming interfaces with complex topology changes. We discuss the implementation of this interface method and its particular suitability to distributed processing where all operations are carried out locally on distributed subdomains. We have developed parallel GMRES and Multigrid iterative solvers suited to the linear systems arising from the implicit solution of the fluid velocities and pressure in the presence of strong density and viscosity discontinuities across fluid phases. Particular attention is drawn to the details and performance of the parallel Multigrid solver. The code includes modules for flow interaction with immersed solid objects, contact line dynamics, species and thermal transport with phase change. Here, however, we focus on the simulation of the canonical problem of drop splash onto a liquid film and report on the parallel performance of the code on varying numbers of threads. The 3D simulations were run on mesh resolutions up to 10243 with results at the higher resolutions showing the fine details and features of droplet ejection, crown formation and rim instability observed under similar experimental conditions.


Journal of Computational Physics | 2018

A hybrid interface tracking – level set technique for multiphase flow with soluble surfactant

Seungwon Shin; Jalel Chergui; Damir Juric; Lyes Kahouadji; Omar K. Matar; Richard V. Craster

Abstract A formulation for soluble surfactant transport in multiphase flows recently presented by Muradoglu and Tryggvason (JCP 274 (2014) 737–757) [17] is adapted to the context of the Level Contour Reconstruction Method, LCRM, (Shin et al. IJNMF 60 (2009) 753–778, [8] ) which is a hybrid method that combines the advantages of the Front-tracking and Level Set methods. Particularly close attention is paid to the formulation and numerical implementation of the surface gradients of surfactant concentration and surface tension. Various benchmark tests are performed to demonstrate the accuracy of different elements of the algorithm. To verify surfactant mass conservation, values for surfactant diffusion along the interface are compared with the exact solution for the problem of uniform expansion of a sphere. The numerical implementation of the discontinuous boundary condition for the source term in the bulk concentration is compared with the approximate solution. Surface tension forces are tested for Marangoni drop translation. Our numerical results for drop deformation in simple shear are compared with experiments and results from previous simulations. All benchmarking tests compare well with existing data thus providing confidence that the adapted LCRM formulation for surfactant advection and diffusion is accurate and effective in three-dimensional multiphase flows with a structured mesh. We also demonstrate that this approach applies easily to massively parallel simulations.


european pvm mpi users group meeting on recent advances in parallel virtual machine and message passing interface | 1999

Using PMD to Parallel Solve Large-Scale Navier-Stokes Equations - Performance Analysis on SGI/CRAY-T3E Machine

Jalel Chergui

PMD (Parallel Multi-domain Decomposition) is an MPI based Fortran 90 module which objective is to parallel-solve positive definite linear elliptic second order equations. It has been used to solve unsteady Navier-Stokes equations in order to simulate an axisymmetric incompressible viscous fluid flow inside a centrifugal pump. In this paper, we will present a brief description of the implementation and will discuss the performance measurements obtained on the SGI/CRAY T3E parallel machine.


Journal of Fluid Mechanics | 2015

Numerical simulation of supersquare patterns in Faraday waves

L. Kahouadji; Nicolas Périnet; Laurette S. Tuckerman; Seungwon Shin; Jalel Chergui; Damir Juric


arXiv: Computational Engineering, Finance, and Science | 2017

An Interface-Tracking Technique for Multiphase Flow with Soluble Surfactant.

Seungwon Shin; Jalel Chergui; Damir Juric; Lyes Kahouadji; Omar K. Matar; Richard V. Craster


Archive | 2017

Innovative computing for industrially-relevant multiphase flows

Damir Juric; Jalel Chergui; Seungwon Shin; Lyes Kahouadji; Richard V. Craster; Omar K. Matar


Bulletin of the American Physical Society | 2017

Multiphase three-dimensional direct numerical simulation of a rotating impeller with code Blue

Lyes Kahouadji; Seungwon Shin; Jalel Chergui; Damir Juric; Richard V. Craster; Omar K. Matar


Bulletin of the American Physical Society | 2017

Direct numerical simulation of annular flows with surfactants

Andrius Patapas; Assen Batchvarov; Lyes Kahouadji; Jalel Chergui; Damir Juric; Seungwon Shin; Richard V. Craster; Omar K. Matar


Bulletin of the American Physical Society | 2017

Flash nano-precipitation of polymer blends: a role for fluid flow?

Lorena S. Grundy; Lachlan Mason; Jalel Chergui; Damir Juric; Richard V. Craster; Victoria E. Lee; Robert E. Prud'homme; Rodney D. Priestley; Omar K. Matar


Bulletin of the American Physical Society | 2017

Simulation of `cavern’ formation in the mixing of viscoplastic fluids

Karan Mirpuri; Lyes Kahouadji; Jalel Chergui; Damir Juric; Seungwon Shin; Patrick Piccione; Omar K. Matar

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Damir Juric

Centre national de la recherche scientifique

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Laurette S. Tuckerman

Centre national de la recherche scientifique

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Nicolas Perinet

Centre national de la recherche scientifique

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Zhizhao Che

Imperial College London

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M.J.H. Simmons

University of Birmingham

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