Lattice Boltzmann, a robust and accurate solver for interactive computational hemodynamics

  • Authors:
  • A. M. Artoli;D. Kandhai;H. C. J. Hoefsloot;A. G. Hoekstra;P. M. A. Sloot

  • Affiliations:
  • Section Computational Science, Laboratory for Computing, Systems Architecture and Programming, Faculty of Science, University of Amsterdam, SJ, Amsterdam, The Netherlands;Kramers Laboratorium voor Fysische Technologie, Faculty of Applied Sciences, Delft, The Netherlands;Department of Chemical Engineering, Faculty of Science, University of Amsterdam, Amsterdam, The Netherlands;Section Computational Science, Laboratory for Computing, Systems Architecture and Programming, Faculty of Science, University of Amsterdam, SJ, Amsterdam, The Netherlands;Section Computational Science, Laboratory for Computing, Systems Architecture and Programming, Faculty of Science, University of Amsterdam, SJ, Amsterdam, The Netherlands

  • Venue:
  • ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
  • Year:
  • 2003

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Abstract

Surgical planning as a treatment for vascular diseases requires fast blood flow simulations that are effcient in handling changing geometry. It is, for example, necessary to try different paths of a planned bypass and study the resulting hemodynamic flow fields before deciding the final geometrical solution. With the aid of a real time interactive simulation environment that uses an efficient flow solver, this allows flexible treatment planning. In this article, we demonstrate that the lattice Boltzmann method can be an alternative robust CFD technique for such kind of applications. Steady flow in a 2D symmetric bifurcation is studied and the obtained flow fields and stress tensor components are compared to those obtained by a Navier-Stokes (NS) solver. We also demonstrate that the method is fully adaptive to interactively changing geometry.