Lattice Boltzmann Simulations on Complex Geometries

Simon Zimny (), Kannan Masilamani (), Kartik Jain () and Sabine Roller ()
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Simon Zimny: German Research School for Simulation Sciences and RWTH Aachen University
Kannan Masilamani: University of Siegen, Simulation Techniques and Scientific Computing
Kartik Jain: University of Siegen, Simulation Techniques and Scientific Computing
Sabine Roller: University of Siegen, Simulation Techniques and Scientific Computing

A chapter in Sustained Simulation Performance 2013, 2013, pp 49-62 from Springer

Abstract: Abstract The need for numerical simulation of fluid flows in highly complex geometries for medical or industrial applications has increased tremendously over the recent years. In this context the lattice Boltzmann method which is known to have a very good parallel performance is well suited. In this publication the lattice Boltzmann solver Musubi which is a part of the end-to-end parallel simulation framework APES is described concerning its HPC performance on two possible applications. The first application is the blood flow through stented aneurysms including a simple clotting model, the second application is the flow of water through an industrial spacer geometry. In both cases, a highly complex geometry with a wide range of spatial scales (μm up to cm) each is used.

Keywords: Wall Shear Stress; Lattice Boltzmann Method; Cerebral Aneurysm; Cation Exchange Membrane; Anion Exchange Membrane (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-01439-5_4

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DOI: 10.1007/978-3-319-01439-5_4

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