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@ARTICLE{Morrison:877306,
author = {Morrison, Helen E. and Lintermann, Andreas and Grundmann,
Sven},
title = {{H}ybrid datasets: {I}ncorporating experimental data into
{L}attice-{B}oltzmann simulations},
journal = {Engineering reports},
volume = {2},
number = {6},
issn = {2577-8196},
address = {Hoboken, NJ},
publisher = {Wiley},
reportid = {FZJ-2020-02122},
pages = {e12177},
year = {2020},
abstract = {A novel method, which combines both fluid-mechanical
experimental and numerical data from magnetic resonance
velocimetry and Lattice-Boltzmann (LB) simulations is
presented. The LB method offers a unique and simple way of
integrating the experimental data into the simulation by
means of its equilibrium term. The simulation is guided by
the experimental data, while at the same time potential
outliers or noisy data are physically smoothed. In addition,
the simulation allows to increase the resolution and to
obtain further physical quantities, which are not measurable
in the experiment. For a benchmark case, temporally averaged
velocity data is included into the simulation. The proposed
model creates a hybrid dataset, which satisfies the
Reynolds-averaged Navier-Stokes equations, including the
correctly deduced contribution from the Reynolds stress
tensor.},
cin = {JSC},
ddc = {620},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511)},
pid = {G:(DE-HGF)POF3-511},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000674440200009},
doi = {10.1002/eng2.12177},
url = {https://juser.fz-juelich.de/record/877306},
}