Ponències/Comunicacions de congressos
Recent Submissions
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Numerical assessment of RANS and LES modelling in particle separation devices
(European Conference for AeroSpace Sciences (EUCASS), 2022)
Conference report
Open AccessIn the present work, the separation efficiency analysis on particle-laden flows in the framework of LES and RANS modelling for an Inertial Particle Separator (IPS) device has been presented. The comparison of LES and RANS ... -
Efficient strategies for solving the variable Poisson equation with large contrasts in the coefficients
(2022)
Conference report
Open AccessDiscrete versions of Poisson’s equation with large contrasts in the coefficients result in very ill-conditioned systems. Thus, its iterative solution represents a major challenge, for instance, in porous media and multiphase ... -
On the effect of prandtl number to subgrid-scale heat flux models
(Scipedia, 2022)
Conference report
Open AccessEstimations of the grid size and computational cost for direct numerical simulation (DNS) and large-eddy simulation (LES) of Rayleigh-Bénard convection (RBC) are presented in the {Ra, P r} phase space. Computational ... -
Development of a low-level, algebra-based library to provide platform portability on hybrid supercomputers
(Scipedia, 2022)
Conference report
Open AccessContinuous enhancement in hardware technologies enables scientific computing to advance incessantly and reach further aims. Since the start of the global race for exascale high-performance computing, massively-parallel ... -
DNS and LES on unstructured grids: playing with matrices to preserve symmetries using a minimal set of algebraic kernels
(Scipedia, 2022)
Conference report
Open AccessThe essence of turbulence are the smallest scales of motion. They result from asubtle balance between two differential operators differing in symmetry: The convective operator is skew-symmetric, whereas the diffusive is ... -
Symmetry-preserving discretisation methods for magnetohydrodynamics
(Scipedia, 2022)
Conference report
Open AccessIn this work, the symmetry-preserving method [1, 2, 3] is extended to include magnetohydrodynamic effects, using the collocated grid arrangement of Ni et al. [4, 5]. The electromagnetic part is solved explicitly using the ... -
Modelization of a molten salt thermal energy storage for concentrated solar power
(Scipedia, 2022)
Conference report
Open AccessA numerical model for studying a storage tank for concentrated solar power is presented. The model consists of solving the heat equation for the solid part made from ceramic materials, a one-dimensional model for the molten ... -
An efficient strategy of parcel modeling for polydispersed multiphase turbulent flows
(Scipedia, 2022)
Conference report
Open AccessA three-dimensional particle-laden two-phase turbulent flow by employing the Eulerian-Lagrangian method using multiphase Particle-In-Cell model is implemented to analyze the effects of parcel modeling. In order to achieve ... -
Strategies to increase the arithmetic intensity of the linear solvers
(Parallel Computational Fluid Dynamics (ParCFD), 2022)
Conference report
Restricted access - publisher's policyThe present work presents a strategy to increase the arithmetic intensity of the solvers. Namely, we profit spatial reflection symmetries to block diagonalise Poisson's equation and split the resulting blocks into a common ... -
DNS/LES using a minimal set of algebraic Kernels: challenges and opportunities
(Parallel Computational Fluid Dynamics (ParCFD), 2022)
Conference report
Restricted access - publisher's policyIn the last decades, CFD has become a standard design tool in many fields such as automotive, aeronautical and wind power industries. The driven force behind this is the development of numerical techniques in conjunction ... -
On the benefits and applications of sparse matrix-matrix product on various parallel architectures
(Parallel Computational Fluid Dynamics (ParCFD), 2022)
Conference report
Restricted access - publisher's policySparse matrix-vector multiplications are essential in the numerical resolution of partial differential equations. However, the sparse matrix-vector product is a strongly memory-bound kernel that suffers from data starving. ... -
An energy-preserving unconditionally stable fractional step method on collocated grids
(Scipedia, 2022)
Conference report
Open AccessPreservation of energy is fundamental in order to avoid the introduction of unphysical energy that can lead to unstable simulations. In this work, an energy-preserving unconditionally stable fractional step method on ...
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