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N. Perovic¹, J. Frisch², R.-P. Mundani¹ and E. Rank¹

¹Chair for Computation in Engineering, Technische Universität München, Munich, Germany
²Lehrstuhl für Energieeffizientes Bauen E3D, RWTH University Aachen, Germany

doi:10.4203/ccp.107.48

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N. Perovic, J. Frisch, R.-P. Mundani, E. Rank, "High-Performance Fluid Flow Simulation through Porous Media: Coupling Micro- and Macro- Scale on Geometrically Complex Domains", in , (Editors), "Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 48, 2015. doi:10.4203/ccp.107.48

Keywords: high-performance computing, space-tree data structure, visualisation, porous media, fluid flow, macro scale, micro scale, multigrid like solver, Navier-Stokes model, Darcy model.

Summary

In order to achieve a reasonable computing time while dealing with the fluid flow simulations through geometrically complex large physical domains such as porous media, the use of high-performance computing techniques on the large parallel computers is inevitable. Often billions of unknowns are calculated on a refined mesh that fits to the geometry to the certain measure, but not always all of them are necessary to be represented and analyzed. Depending on the engineering case, the results on a coarse scale might be significantly more representative than the fine one. To access to the differently scaled computed results, in this paper a specific approach of coupling two different scales has been adopted, macro- and micro- scale, in order to be able both to perform analysis on a rather large physical domain of porous media on the macro level without having an excessive data overhead or communication bottlenecks, so as to perform qualitative studies of a particular parameter within the micro model.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 107 PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: Paper 48 High-Performance Fluid Flow Simulation through Porous Media: Coupling Micro- and Macro- Scale on Geometrically Complex Domains N. Perovic¹, J. Frisch², R.-P. Mundani¹ and E. Rank¹ ¹Chair for Computation in Engineering, Technische Universität München, Munich, Germany ²Lehrstuhl für Energieeffizientes Bauen E3D, RWTH University Aachen, Germany doi:10.4203/ccp.107.48 purchase the full-text of this paper Full Bibliographic Reference for this paper N. Perovic, J. Frisch, R.-P. Mundani, E. Rank, "High-Performance Fluid Flow Simulation through Porous Media: Coupling Micro- and Macro- Scale on Geometrically Complex Domains", in , (Editors), "Proceedings of the Fourth International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 48, 2015. doi:10.4203/ccp.107.48 Keywords: high-performance computing, space-tree data structure, visualisation, porous media, fluid flow, macro scale, micro scale, multigrid like solver, Navier-Stokes model, Darcy model. Summary In order to achieve a reasonable computing time while dealing with the fluid flow simulations through geometrically complex large physical domains such as porous media, the use of high-performance computing techniques on the large parallel computers is inevitable. Often billions of unknowns are calculated on a refined mesh that fits to the geometry to the certain measure, but not always all of them are necessary to be represented and analyzed. Depending on the engineering case, the results on a coarse scale might be significantly more representative than the fine one. To access to the differently scaled computed results, in this paper a specific approach of coupling two different scales has been adopted, macro- and micro- scale, in order to be able both to perform analysis on a rather large physical domain of porous media on the macro level without having an excessive data overhead or communication bottlenecks, so as to perform qualitative studies of a particular parameter within the micro model. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £45 +P&P)
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