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D. Kashyap¹, M. Grondeau² and R. Deiterding¹

¹Department Aeronautics & Astronautics, University of Southampton, United Kingdom
²Laboratoire Universitaire des Sciences Appliquées de Cherbourg, Université de Caen Normandie, Cherbourg-Octeville, France

D. Kashyap, M. Grondeau, R. Deiterding, "Scalable Adaptive Lattice Boltzmann–LES Solver for High Reynolds Number Flows in Porous Media", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighth International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 12, Paper 1.1, 2025,

Keywords: parallel computing, lattice Boltzmann method, large eddy simulation, dynamic mesh adaptation, porous medium, turbulent flow.

Abstract

The present study employs the adaptive lattice Boltzmann solver AMROC-LBM to numerically investigate turbulent flow through a wind tunnel containing porous media with a blockage ratio of 0.5. The porous structure comprises two interlaced cubic arrays, designed to emulate a configuration under concurrent experimental investigation. To resolve turbulence characteristics, a large eddy simulation (LES) framework is integrated into the lattice Boltzmann method (LBM), enabling accurate capture of large-scale flow structures while modelling subgrid-scale effects. Our in-house solver has been rigorously validated against established experimental and numerical benchmarks, with the results demonstrating close agreement, thereby confirming the reliability of the computational methodology. A scalability analysis confirms the solver’s computational efficiency on parallel architectures.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 12 PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GPU AND CLOUD COMPUTING FOR ENGINEERING Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 1.1 Scalable Adaptive Lattice Boltzmann–LES Solver for High Reynolds Number Flows in Porous Media D. Kashyap¹, M. Grondeau² and R. Deiterding¹ ¹Department Aeronautics & Astronautics, University of Southampton, United Kingdom ²Laboratoire Universitaire des Sciences Appliquées de Cherbourg, Université de Caen Normandie, Cherbourg-Octeville, France Full Bibliographic Reference for this paper D. Kashyap, M. Grondeau, R. Deiterding, "Scalable Adaptive Lattice Boltzmann–LES Solver for High Reynolds Number Flows in Porous Media", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Eighth International Conference on Parallel, Distributed, GPU and Cloud Computing for Engineering", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 12, Paper 1.1, 2025, Keywords: parallel computing, lattice Boltzmann method, large eddy simulation, dynamic mesh adaptation, porous medium, turbulent flow. Abstract The present study employs the adaptive lattice Boltzmann solver AMROC-LBM to numerically investigate turbulent flow through a wind tunnel containing porous media with a blockage ratio of 0.5. The porous structure comprises two interlaced cubic arrays, designed to emulate a configuration under concurrent experimental investigation. To resolve turbulence characteristics, a large eddy simulation (LES) framework is integrated into the lattice Boltzmann method (LBM), enabling accurate capture of large-scale flow structures while modelling subgrid-scale effects. Our in-house solver has been rigorously validated against established experimental and numerical benchmarks, with the results demonstrating close agreement, thereby confirming the reliability of the computational methodology. A scalability analysis confirms the solver’s computational efficiency on parallel architectures. download the full-text of this paper (PDF, 5851 Kb) go to the next paper return to the table of contents return to the volume description
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