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@PHDTHESIS{Ksters:860655,
author = {Küsters, Anne},
title = {{R}eal-{T}ime {S}imulation and {P}rognosis of {S}moke
{P}ropagation in {C}ompartments {U}sing a {GPU}},
volume = {39},
school = {Bergische Universität Wuppertal},
type = {Dr.},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2019-01323},
isbn = {978-3-95806-379-2},
series = {Schriften des Forschungszentrums Jülich Reihe. IAS Series},
pages = {XVII, 162, LIX S.},
year = {2018},
note = {Bergische Universität Wuppertal, Diss., 2018},
abstract = {The evaluation of life safety in buildings in case of fire
is often based on smoke spread calculations. However, recent
simulation models – in general, based on computational
fluid dynamics – often require long execution times or
high-performance computers to achieve simulation results in
or faster than real-time. Therefore, the objective of this
study is the development of a concept for the real-time and
prognosis simulation of smoke propagation in compartments
using a graphics processing unit (GPU). The developed
conceptis summarized in an expandable open source software
basis, called JuROr ($\textit{Jülich’s Real-time
simulation within ORPHEUS}$). JuROr simulates
buoyancy-driven, turbulent smoke spread based on a reduced
modeling approach using finite differences and a Large Eddy
Simulation turbulence model to solve the incompressible
Navier-Stokes and energy equations. This reduced model is
fully adapted to match the target hardware of highly
parallel computer architectures. Thereby, the code is
written in the object-oriented programming language C$^{++}$
and the pragma-based programming model OpenACC. This model
ensures to maintain a single source code, which can be
executed in serial and parallel on various architectures.
Further, the study provides a proof of JuROr’s concept to
balance sufficient accuracy and practicality. First, the
code was successfully verified using unit and (semi-)
analytical tests. Then, the underlying model was validated
by comparing the numerical results to the experimental
results of scenarios relevant for fire protection. Thereby,
verification and validation showed acceptable accuracy for
JuROr’s application. Lastly, the performance criteria of
JuROr – being real-time and prognosis capable with
comparable performance across various architectures – was
successfully evaluated. Here, JuROr also showed high speedup
results on a GPU and faster time-to-solution compared to the
established Fire Dynamics Simulator. These results show
JuROr’s practicality.},
cin = {IAS-7 / JSC},
cid = {I:(DE-Juel1)IAS-7-20180321 / I:(DE-Juel1)JSC-20090406},
pnm = {511 - Computational Science and Mathematical Methods
(POF3-511) / ORPHEUS - Optimierung der Rauchableitung und
Personenführung in U-Bahnhöfen: Experimente und
Simulationen (BMBF-13N13266)},
pid = {G:(DE-HGF)POF3-511 / G:(DE-Juel1)BMBF-13N13266},
typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
urn = {urn:nbn:de:0001-2018121902},
url = {https://juser.fz-juelich.de/record/860655},
}