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D. Kashyap¹, M. Grondeau² and R. Deiterding¹

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

doi:10.4203/ccc.13.2.2

D. Kashyap, M. Grondeau, R. Deiterding, "Adaptive Lattice Boltzmann Large Eddy Simulation of Turbulent Flows Through Porous Structures with Improved Mesh Interface Treatment", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Thirteenth International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 13, Paper 2.2, 2026, doi:10.4203/ccc.13.2.2

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

Abstract

Turbulent flows interacting with porous media are prevalent in many engineering and environmental applications, but understanding how turbulence interacts with porous materials under varied conditions remains a critical research problem. This paper evaluates a large-eddy simulation framework for turbulent flow through porous structures and demonstrates it for regular square-bar arrays, with Reynolds numbers up to Re = 40000. The methodology captures critical flow properties such as interfacial shear layers and pore-scale vortical structures by combining adaptive mesh refinement with a lattice Boltzmann solver (AMROC-LBM). Adaptive refinement focuses on dynamically active regions, particularly those near the porous-fluid interface, which exhibit high gradients and turbulence. This method incurs lower computational costs than a uniformly fine grid. The non-equilibrium distribution rescaling approach, according to the systematic evaluation of interface treatment strategies, guarantees robust and physically consistent information flow across grid levels.

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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: 13 PROCEEDINGS OF THE THIRTEENTH INTERNATIONAL CONFERENCE ON ENGINEERING COMPUTATIONAL TECHNOLOGY Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 2.2 Adaptive Lattice Boltzmann Large Eddy Simulation of Turbulent Flows Through Porous Structures with Improved Mesh Interface Treatment D. Kashyap¹, M. Grondeau² and R. Deiterding¹ ¹Aeronautics & Astronautics, University of Southampton, United Kingdom ²Laboratoire Universitaire des Sciences Appliquées, Université de Caen, Cherbourg, France doi:10.4203/ccc.13.2.2 Full Bibliographic Reference for this paper D. Kashyap, M. Grondeau, R. Deiterding, "Adaptive Lattice Boltzmann Large Eddy Simulation of Turbulent Flows Through Porous Structures with Improved Mesh Interface Treatment", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Thirteenth International Conference on Engineering Computational Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 13, Paper 2.2, 2026, doi:10.4203/ccc.13.2.2 Keywords: turbulent flow, porous medium, large eddy simulation, lattice Boltzmann method, dynamic mesh adaptation, parallel computing. Abstract Turbulent flows interacting with porous media are prevalent in many engineering and environmental applications, but understanding how turbulence interacts with porous materials under varied conditions remains a critical research problem. This paper evaluates a large-eddy simulation framework for turbulent flow through porous structures and demonstrates it for regular square-bar arrays, with Reynolds numbers up to Re = 40000. The methodology captures critical flow properties such as interfacial shear layers and pore-scale vortical structures by combining adaptive mesh refinement with a lattice Boltzmann solver (AMROC-LBM). Adaptive refinement focuses on dynamically active regions, particularly those near the porous-fluid interface, which exhibit high gradients and turbulence. This method incurs lower computational costs than a uniformly fine grid. The non-equilibrium distribution rescaling approach, according to the systematic evaluation of interface treatment strategies, guarantees robust and physically consistent information flow across grid levels. download the full-text of this paper (PDF, 2291 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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