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  • Two-phase turbulent kinetic energy budget computation in co-current Taylor bubble flow 

    Frederix, E.M.A.; Tajfirooz, S; Hopman, Johannes Arend; Fang, Jun; Merzari, Elia; Komen, E.M.J. (Taylor & Francis Group, 2023-02-13)
    Article
    Restricted access - publisher's policy
    Simulation of two-phase flows is relevant for reactor design and safety at normal operation or during accident scenarios. Often, the two-phase flow is in a regime in which slugs are formed or where the flow stratifies. ...
  • Numerical assessment of RANS and LES modelling in particle separation devices 

    Bahramian, Linda; Amani, Ahmad; Muela Castro, Jordi; Rigola Serrano, Joaquim; Oliet Casasayas, Carles; Pérez Segarra, Carlos David (European Conference for AeroSpace Sciences (EUCASS), 2022)
    Conference report
    Open Access
    In 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 

    Alsalti Baldellou, Àdel; Álvarez Farré, Xavier; Gorobets, Andrei; Trias Miquel, Francesc Xavier; Oliva Llena, Asensio (2022)
    Conference report
    Open Access
    Discrete 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 

    Trias Miquel, Francesc Xavier; Santos Serrano, Daniel; Hopman, Johannes Arend; Gorobets, Andrei; Oliva Llena, Asensio (Scipedia, 2022)
    Conference report
    Open Access
    Estimations 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 

    Álvarez Farré, Xavier; Alsalti Baldellou, Àdel; Colomer Rey, Guillem; Gorobets, Andrei; Trias Miquel, Francesc Xavier; Oliva Llena, Asensio (Scipedia, 2022)
    Conference report
    Open Access
    Continuous 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 

    Trias Miquel, Francesc Xavier; Álvarez Farré, Xavier; Alsalti Baldellou, Àdel; Gorobets, Andrei; Oliva Llena, Asensio (Scipedia, 2022)
    Conference report
    Open Access
    The 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 

    Hopman, Johannes Arend; Trias Miquel, Francesc Xavier; Rigola Serrano, Joaquim (Scipedia, 2022)
    Conference report
    Open Access
    In 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 

    Vera i Fernández, Jordi; Colomer Rey, Guillem; Sanmartí Perona, Oriol; Pérez Segarra, Carlos David (Scipedia, 2022)
    Conference report
    Open Access
    A 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 

    Bahramian, Linda; Muela Castro, Jordi; Oliet Casasayas, Carles; Pérez Segarra, Carlos David; Trias Miquel, Francesc Xavier (Scipedia, 2022)
    Conference report
    Open Access
    A 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 

    Alsalti Baldellou, Àdel; Álvarez Farré, Xavier; Gorobets, Andrei; Oliva Llena, Asensio; Trias Miquel, Francesc Xavier (Parallel Computational Fluid Dynamics (ParCFD), 2022)
    Conference report
    Restricted access - publisher's policy
    The 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 

    Trias Miquel, Francesc Xavier; Álvarez Farré, Xavier; Alsalti Baldellou, Àdel; Gorobets, Andrei; Oliva Llena, Asensio (Parallel Computational Fluid Dynamics (ParCFD), 2022)
    Conference report
    Restricted access - publisher's policy
    In 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 

    Álvarez Farré, Xavier; Alsalti Baldellou, Àdel; Gorobets, Andrei; Oliva Llena, Asensio; Trias Miquel, Francesc Xavier (Parallel Computational Fluid Dynamics (ParCFD), 2022)
    Conference report
    Restricted access - publisher's policy
    Sparse 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. ...

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