Publikationen SGS: Bibliographie 2017 BibTeX
@inproceedings {INPROC-2017-73,
author = {Nehzat Emamy and Maria Luk{\'a}\&\#269;ov{\'a}-Medvid’ov{\'a} and Stefanie Stalter and Peter Virnau and Leonid Yelash},
title = {{Reduced-order hybrid multiscale method combining the Molecular Dynamics and the Discontinuous-Galerkin method}},
booktitle = {Proceedings of VII International Conference on Computational Methods for Coupled Problems in Science and Engineering (Coupled Problems 2017)},
address = {Rhodes Island, Greece},
publisher = {ECCOMAS},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {62--76},
type = {Konferenz-Beitrag},
month = {Juni},
year = {2017},
language = {Englisch},
cr-category = {I.6.0 Simulation and Modeling General},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-73&engl=0}
}
@inproceedings {INPROC-2017-71,
author = {Carolin Schober and David Keerl and Martin Lehmann and Miriam Mehl},
title = {{Simulating the Interaction of Electrostatically Charged Particles in the Inflow Area of Cabin Air Filters Using a Fully Coupled System}},
booktitle = {Proceedings of the VII International Conference on Coupled Problems in Science and Engineering},
address = {Barcelona, Spain},
publisher = {CIMNE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {77--88},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2017},
language = {Englisch},
cr-category = {J.2 Physical Sciences and Engineering},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2017-71/INPROC-2017-71.pdf},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {Cabin air filters are applied to prevent small particles such as pollen, fine
dust and soot amongst others from being transferred into the interior (cabin)
of a vehicle. The filter media often make use of the so called electret effect
as means for achieving high filtration efficiency at low pressure drop.
Thereby, electrostatic filtration effects are supplemented to the well-known
mechanical collection mechanisms (such as inertia, diffusion,...). Besides the
interference of several fiber-particle interactions (Coulombic
attraction/repulsion, induced dipolar forces, image charge effects)
particle-particle interactions potentially play an important role. However,
this effect is completely neglected in previous research studies due to the
high degree of complexity [1]. In this work, we present a detailed
investigation of the particle behaviour in the inflow area and transition area
to the filter media. For a precise description of the underlying physical
procedures the simulation is based on a four-way coupling. This approach takes
into account the reciprocal influence between the fluid flow and the particle
motion as well as the interactions between single electrostatically charged
particles. The software package ESPResSo [2] used in this work is based on a
molecular dynamic approach and provides the advantage of efficient algorithms
for the modelling of electrostatic interactions. In order to emulate the air
flow, the molecular dynamic simulation is coupled with a Lattice-Boltzmann
fluid. The presented talk focuses on the influence of the particle-particle
interactions on the filtration performance. It is elaborated whether the fully
coupled system is necessary in order to reflect reality more closely or the
simulation can be simplified to reduce the degree of complexity and thus the
computational costs.
REFERENCES [1] S. Rief, A. Latz, A. Wiegmann, {\^a}€œComputer simulation of Air
Filtration including electric surface charges in three-dimensional fibrous
micro structures{\^a}€, Filtration 6.2, (2006). [2] A. Arnold, O. Lenz, S.
Kesselheim, R. Weeber, F. Fahrenberger, D. Roehm, P. Ko{\AA}¡ovan and C. Holm,
{\^a}€œESPResSo 3.1: Molecular Dynamic Software for Coarse-Grained Models{\^a}€,
Lecture Notes in Computational Science and Engineering, (2013).},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-71&engl=0}
}
@inproceedings {INPROC-2017-62,
author = {Andreas Mang and Sameer Tarakan and Amir Gholami and Naveen Himthani and Subramanian and Shanshank and James Levitt and Muneeza Azmat and Klaudius Scheufele and Miriam Mehl and Christos Davatzikos and Bill Bart and George Biros},
title = {{SIBIA-GlS: Scalable Biophysics-Based Image Analysis for Glioma Segmentation}},
booktitle = {The multimodal brain tumor image segmentation benchmark (BRATS), MICCAI},
publisher = {-},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {202--209},
type = {Konferenz-Beitrag},
month = {Juli},
year = {2017},
language = {Englisch},
cr-category = {G.1.6 Numerical Analysis Optimization,
G.1.8 Partial Differential Equations,
J.3 Life and Medical Sciences},
ee = {https://www.cbica.upenn.edu/sbia/Spyridon.Bakas/MICCAI_BraTS/MICCAI_BraTS_2017_proceedings_shortPapers.pdf},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-62&engl=0}
}
@inproceedings {INPROC-2017-61,
author = {Amir Gholami and Andreas Mang and Klaudius Scheufele and Christos Davatzikos and Miriam Mehl and George Biros},
title = {{A Framework for Scalable Biophysics-based Image Analysis}},
booktitle = {Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC17},
address = {New York, NY, USA},
publisher = {ACM},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {1--13},
type = {Konferenz-Beitrag},
month = {November},
year = {2017},
doi = {10.1145/3126908.3126930},
isbn = {978-1-4503-5114-0},
keywords = {bio-physics based image analysis; scalable image registration},
language = {Englisch},
cr-category = {G.1.6 Numerical Analysis Optimization,
G.1.8 Partial Differential Equations,
J.3 Life and Medical Sciences},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2017-61/INPROC-2017-61.pdf,
https://dl.acm.org/citation.cfm?doid=3126908.3126930},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-61&engl=0}
}
@inproceedings {INPROC-2017-37,
author = {Benjamin Peherstorfer and Dirk Pfl{\"u}ger and Hans-Joachim Bungartz},
title = {{Density Estimation with Adaptive Sparse Grids for Large Data Sets}},
booktitle = {Proceedings of the 2014 SIAM International Conference on Data Mining},
publisher = {SIAM},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {443--451},
type = {Konferenz-Beitrag},
month = {Januar},
year = {2017},
doi = {10.1137/1.9781611973440.51},
keywords = {sparse grids; density estimation; big data},
language = {Englisch},
cr-category = {I.2 Artificial Intelligence,
I.6 Simulation and Modeling},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {Nonparametric density estimation is a fundamental problem of statistics and
data mining. Even though kernel density estimation is the most widely used
method, its performance highly depends on the choice of the kernel bandwidth,
and it can become computationally expensive for large data sets. We present an
adaptive sparse-grid-based density estimation method which discretizes the
estimated density function on basis functions centered at grid points rather
than on kernels centered at the data points. Thus, the costs of evaluating the
estimated density function are independent from the number of data points. We
give details on how to estimate density functions on sparse grids and develop a
cross validation technique for the parameter selection. We show numerical
results to confirm that our sparse-grid-based method is well-suited for large
data sets, and, finally, employ our method for the classification of
astronomical objects to demonstrate that it is competitive to current
kernel-based density estimation approaches with respect to classification
accuracy and runtime.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-37&engl=0}
}
@inproceedings {INPROC-2017-35,
author = {Florian Lindner and Miriam Mehl and Benjamin Uekermann},
title = {{Radial Basis Function Interpolation for Black-Box Multi-Physics Simulations}},
booktitle = {Proceedings of the VII International Conference on Coupled Problems in Science and Engineering},
editor = {International Center for Numerical Methods in Engineering (CIMNE)},
address = {Barcelona, Spain},
publisher = {CIMNE},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
pages = {50--61},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2017},
isbn = {978-84-946909-2-1},
language = {Englisch},
cr-category = {G.1.1 Numerical Analysis Interpolation},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INPROC-2017-35/INPROC-2017-35.pdf},
contact = {florian.lindner@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-35&engl=0}
}
@inproceedings {INPROC-2017-31,
author = {Mario Heene and Alfredo Parra Hinojosa and Hans-Joachim Bungartz and Dirk Pfl{\"u}ger},
title = {{A Massively-Parallel, Fault-Tolerant Solver for High-Dimensional PDEs}},
booktitle = {Euro-Par 2016: Parallel Processing Workshops},
editor = {F. Desprez and Et al.},
address = {Cham},
publisher = {Springer},
institution = {Universit{\"a}t Stuttgart, Fakult{\"a}t Informatik, Elektrotechnik und Informationstechnik, Germany},
series = {Lecture Notes in Computer Science (LNCS)},
volume = {10104},
pages = {635--647},
type = {Konferenz-Beitrag},
month = {Mai},
year = {2017},
doi = {10.1007/978-3-319-58943-5_51},
language = {Englisch},
cr-category = {G.4 Mathematical Software},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {We investigate the effect of hard faults on a massively-parallel implementation
of the Sparse Grid Combination Technique (SGCT), an efficient numerical
approach for the solution of high-dimensional time-dependent PDEs. The SGCT
allows us to increase the spatial resolution of a solver to a level that is out
of scope with classical discretization schemes due to the curse of
dimensionality. We exploit the inherent data redundancy of this algorithm to
obtain a scalable and fault-tolerant implementation without the need of
checkpointing or process replication. It is a lossy approach that can guarantee
convergence for a large number of faults and a wide range of applications. We
present first results using our fault simulation framework {\^a}€“ and the first
convergence and scalability results with simulated faults and algorithm-based
fault tolerance for PDEs in more than three dimensions.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2017-31&engl=0}
}
@article {ART-2017-18,
author = {Zahra Niroobakhsh and Nehzat Emamy and Roozbeh Mousavi and Florian Kummer and Martin Oberlack},
title = {{Numerical investigation of laminar vortex shedding applying a discontinuous Galerkin Finite Element method}},
journal = {Progress in Computational Fluid Dynamics, An International Journal (PCFD)},
publisher = {Inderscience Publishers},
volume = {17},
number = {3},
pages = {131--140},
type = {Artikel in Zeitschrift},
month = {M{\"a}rz},
year = {2017},
language = {Englisch},
cr-category = {I.6.0 Simulation and Modeling General},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-18&engl=0}
}
@article {ART-2017-17,
author = {Nehzat Emamy and Florian Kummer and Markus Mrosek and Martin Karcher and Martin Oberlack},
title = {{Implicit-explicit and explicit projection schemes for the unsteady incompressible Navier-Stokes equations using a high-order dG method}},
journal = {Computers \& Fluids},
publisher = {Elsevier},
volume = {154},
pages = {285--295},
type = {Artikel in Zeitschrift},
month = {September},
year = {2017},
language = {Englisch},
cr-category = {I.6.0 Simulation and Modeling General},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-17&engl=0}
}
@article {ART-2017-11,
author = {Klaudius Scheufele and Miriam Mehl},
title = {{ROBUST MULTI-SECANT QUASI-NEWTON VARIANTS FOR PARALLEL FLUID-STRUCTURE SIMULATIONS—AND OTHER MULTIPHYSICS APPLICATIONS}},
journal = {Siam Journal on Scientific Computing, Volume 39, Issue 5},
editor = {SIAM},
publisher = {SIAM},
volume = {39},
number = {5},
pages = {404--433},
type = {Artikel in Zeitschrift},
month = {Januar},
year = {2017},
isbn = {10.1137/16M1082020},
keywords = {partitioned multiphysics; nonlinear fixed-point solver; quasi-Newton, fluid-structure interaction},
language = {Englisch},
cr-category = {G.4 Mathematical Software,
G.1.6 Numerical Analysis Optimization},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/ART-2017-11/ART-2017-11.pdf},
contact = {klaudius.scheufele@ipvs.uni-stuttgart.de},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-11&engl=0}
}
@article {ART-2017-03,
author = {Gizem Inci and Andreas Kronenburg and Rudolf Weeber and Dirk Pfl{\"u}ger},
title = {{Langevin Dynamics Simulation of Transport and Aggregation of Soot Nano-particles in Turbulent Flows}},
journal = {Flow, Turbulence and Combustion},
publisher = {Springer},
pages = {1--21},
type = {Artikel in Zeitschrift},
month = {Januar},
year = {2017},
issn = {1573-1987},
doi = {10.1007/s10494-016-9797-3},
keywords = {Aggregation; Dissipation rate; Langevin dynamics; Soot particles; Turbulence},
language = {Englisch},
cr-category = {J.2 Physical Sciences and Engineering},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {The present paper uses Langevin dynamics (LD) to investigate the aggregation of
soot nano-particles in turbulent flows. Interparticle forces are included, and
the computation of the individual particles by LD is retained even after
aggregate formation such that collision events and locations can be based on
center-to-center particle distances without invoking any modelling assumptions
of aggregate shape and/or collision frequency. We focus on the interactions
between the specific hydrodynamic conditions and the particle properties and
their effect on the resulting agglomerates' morphologies. The morphology is
characterized by the fractal dimension, Df. Computations of particle
aggregation in homogeneous isotropic turbulence and in shear flows dominated by
counter-rotating vortices with a wide range of turbulence intensities and
particle sizes indicate that the evolution of the agglomerates' shapes can be
adequately parameterized by the size of the agglomerates and the Knudsen and
P{\'e}clet numbers, the latter being based on the smallest turbulence scales. The
computations further suggest that the shapes of agglomerates of certain sizes
are relatively independent of time and relatively insensitive to larger
turbulence structures. The fractal dimensions are modelled as functions of
radius of gyration, Kn and Pe. The fitted expressions show good agreement with
the LD simulations and represent the entire growth process of the agglomerates.
A direct comparison of selected aggregates with experimental data shows very
good qualitative agreement. A thorough quantitative validation of the evolution
of the computed aggregate characteristics is, however, presently hindered by
the challenges for and therefore lack of suitable experiments under
appropriately controlled conditions.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=ART-2017-03&engl=0}
}
@inbook {INBOOK-2017-06,
author = {Steffen Hirschmann and Malte Brunn and Michael Lahnert and Colin W. Glass and Miriam Mehl and Dirk Pfl{\"u}ger},
title = {{Load balancing with p4est for Short-Range Molecular Dynamics with ESPResSo}},
series = {Advances in Parallel Computing},
publisher = {IOS Press},
volume = {32},
pages = {455--464},
type = {Beitrag in Buch},
month = {September},
year = {2017},
doi = {10.3233/978-1-61499-843-3-455},
language = {Englisch},
cr-category = {G.0 Mathematics of Computing General},
ee = {ftp://ftp.informatik.uni-stuttgart.de/pub/library/ncstrl.ustuttgart_fi/INBOOK-2017-06/INBOOK-2017-06.pdf},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2017-06&engl=0}
}
@inbook {INBOOK-2017-02,
author = {Patrick Diehl and Michael Bu{\ss}ler and Dirk Pfl{\"u}ger and Steffen Frey and Thomas Ertl and Filip Sadlo and Marc Alexander Schweitzer},
title = {{Extraction of Fragments and Waves After Impact Damage in Particle-Based Simulations}},
series = {Meshfree Methods for Partial Differential Equations VIII},
publisher = {Springer International Publishing},
pages = {17--34},
type = {Beitrag in Buch},
month = {Januar},
year = {2017},
isbn = {978-3-319-51954-8},
doi = {10.1007/978-3-319-51954-8_2},
language = {Deutsch},
cr-category = {I.3 Computer Graphics,
J.2 Physical Sciences and Engineering},
department = {Universit{\"a}t Stuttgart, Institut f{\"u}r Parallele und Verteilte Systeme, Simulation gro{\ss}er Systeme},
abstract = {The analysis of simulation results and the verification against experimental
data is essential to develop and interpret simulation models for impact damage.
We present two visualization techniques to post-process particle-based
simulation data, and we highlight new aspects for the quantitative comparison
with experimental data. As the underlying simulation model we consider the
particle method Peridynamics, a non-local generalization of continuum
mechanics. The first analysis technique is an extended component labeling
algorithm to extract the fragment size and the corresponding histograms. The
distribution of the fragment size can be obtained by real-world experiments as
demonstrated in Schram and Meyer (Simulating the formation and evolution of
behind armor debris fields. ARL-RP 109, U.S. Army Research Laboratory, 2005),
Vogler et al. (Int J Impact Eng 29:735-746, 2003). The second approach focuses
on the visualization of the stress after an impact. Here, the particle-based
data is re-sampled and rendered with standard volume rendering techniques to
address the interference pattern of the stress wave after reflection at the
boundary. For the extraction and visual analysis, we used the widely-used
Stanford bunny as a complex geometry. For a quantitative study with a simple
geometry, the edge-on impact experiment (Schradin, Scripts German Acad Aeronaut
Res 40:21-68, 1939; Strassburger, Int J Appl Ceram Technol 1:1:235-242, 2004;
Kawai et al., Procedia Eng 103:287-293, 2015) can be applied. With these new
visualization approaches, new insights for the quantitative comparison of
fragmentation and wave propagation become intuitively accessible.},
url = {http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INBOOK-2017-02&engl=0}
}
