% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@INPROCEEDINGS{Lintermann:867479,
      author       = {Lintermann, Andreas and Meinke, Matthias and Schröder,
                      Wolfgang},
      title        = {{I}nvestigations of {N}asal {C}avity {F}lows based on a
                      {L}attice-{B}oltzmann {M}ethod},
      address      = {Berlin, Heidelberg},
      publisher    = {Springer Berlin Heidelberg},
      reportid     = {FZJ-2019-06118},
      pages        = {143-158},
      year         = {2012},
      comment      = {High Performance Computing on Vector Systems 2011 / Resch,
                      Michael (Editor) ; Berlin, Heidelberg : Springer Berlin
                      Heidelberg, 2012, ; ISBN: 978-3-642-22243-6 ;
                      doi:10.1007/978-3-642-22244-3},
      booktitle     = {High Performance Computing on Vector
                       Systems 2011 / Resch, Michael (Editor)
                       ; Berlin, Heidelberg : Springer Berlin
                       Heidelberg, 2012, ; ISBN:
                       978-3-642-22243-6 ;
                       doi:10.1007/978-3-642-22244-3},
      abstract     = {Abstract Impaired respiration capabilities or a reduced
                      sense of smell and taste are common for pathologically
                      shaped nasal cavities. To analyze the flow in the human
                      nasal cavity, simulations with a Lattice-Boltzmann Method
                      (LBM) are carried out. This method is particularly suited to
                      simulate flows in intricate geometries, it is efficient
                      compared to solvers based on the Navier-Stokes equations,
                      and straight forward to parallelize. A surface of the nasal
                      cavity is extracted from Computer Tomography (CT) images and
                      is used to automatically generate a hierarchically refined
                      computational grid. Wall-bounded shear layers are highly
                      resolved in contrast to re- gions of lower velocity
                      gradients. In this way the overall number of cells is
                      reduced and the computational efficency is improved. A mean
                      volume flux of 125 ml/sec is prescribed, which results in a
                      REYNOLDS number of Re = 766 based on the averaged velocity
                      and the averaged hydraulic diameter of the nostrils of the
                      nasal cavity. Different nasal cavities are investigated,
                      previously selected from medical analysis. A performance
                      analysis of the algorithm is carried out to show the
                      scalability of the code. The findings verify that the LBM
                      is a valuable tool to predict and analyze the flow in the
                      human nasal cavity for the individual patient and that it is
                      suited for High Performance Computing (HPC) due to its good
                      scalability.},
      month         = {Oct},
      date          = {2010-10-21},
      organization  = {13th Teraflop Workshop, Tohuku
                       (Japan), 21 Oct 2010 - 22 Oct 2010},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      url          = {https://juser.fz-juelich.de/record/867479},
}