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Two Complementary Approaches for Integrating a Lattice Boltzmann Flow Solver into Simulation Frameworks
Author(s) -
J. Bernsdorf,
Dinan Wang,
Guntram Berti
Publication year - 2011
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2011.04.107
Subject(s) - computer science , lattice boltzmann methods , solver , computational science , flow (mathematics) , parallel computing , theoretical computer science , mathematical optimization , mechanics , programming language , physics , mathematics
Computer simulation plays an increasingly important role in the area of medical physics. The coupled simulation of blood flow, species transport and biological processes in patient specific vessel geometries is a rapidly growing field with the ambitious goal to help clinicians with risk prediction and treatment planning, for example in the case of cardio-vascular diseases.In this paper we describe two complementary approaches of embedding a Lattice Boltzmann flow solver into environments requiring CFD-simulations in the framework of medical physics: a tool chain for performing blood flow simulation within cerebral aneurysms, and a framework for a coupled multi-physics multi-scale simulation of flow-induced biological processes.While for the blood flow simulation the challenge is to set-up an automated tool chain for performing a large number of robust CFD-simulations with a minimum of human interaction, the coupling-framework requires the communication of the LB solver within a complex software environment. We compare both approaches and identify possible synergies, leading towards powerful simulation systems

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