Personal websites

Institute of Aerodynamics
Chair of Fluid Mechanics and Institute of Aerodynamics Aachen
Home  >>  Staff  >>  Personal websites

Personal website

Lintermann, Andreas, Dr.-Ing. Dipl.-Inform. (JARA-HPC)
Phone:+49 241 80 90419 (AIA) / 49 2461 61 1754 (JSC FZJ)
Fax:+49 241 80 92257

Allgemeine Informationen:

Meine Profile: Andreas Lintermann View profile on LinkedIn Andreas Lintermann

Curriculum vitae:

seit 11/16: Gruppenleiter / PostDoc,
Section Computing, RWTH Profile Area Computational Science and Engineering (CompSE)
seit 04/16: Visiting Scientist,
RIKEN Advanced Institute for Computational Science
Complex Phenomena Unified Simulation Research Team
since 11/14: Gruppenleiter / PostDoc,
JARA-HPC (Jülich Aachen Research Alliance, High Performance Computing)
SimLab Highly Scalable Fluids & Solids Engineering
03/09-11/14: wissenschaftlicher Angestellter,
Aerodynamisches Institut und Lehrstuhl für Strömungslehre der RWTH Aachen
03/09: Abschluss Studiengang Diplom-Informatik RWTH Aachen
09/07-03/08: Diplomarbeit am Aerodynamischen Institut und Lehrstuhl für Strömungslehre der RWTH Aachen (weitere Informationen siehe unten)
11/05-03/09: Studentische Hilfskraft am Aerodynamischen Institut und Lehrstuhl für Strömungslehre der RWTH Aachen
(Arbeitsfeld: Webadministration und Entwicklung von Webanwendungen)
03/05: Vordiplom Studiengang Diplom-Informatik RWTH Aachen
10/01-03/09: Studium der Diplom-Informatik an der RWTH Aachen
(Vertiefung: Computer Graphics & Multimedia)
Nebenfach Biologie (Spezialisierung: Genetik)
07/00-06/01: Wehrdienst bei der Luftwaffe der Bundeswehr im Stab Fliegende Gruppe des Jagdbombergeschwaders 31 "Boelcke"


2018K. Vogt, G. Bachmann-Harildstad, K.-D. Wernecke, O. Garyuk, A. Lintermann, A. Nechyporenko, F. Peters, The new agreement of the international RIGA consensus conference on nasal airway function tests, Rhinology, 56, 2018, accepted for publication, doi:10.4193/Rhino17.084Download Paper

2017J.H. Göbbert, A. Lintermann, Flow Predictions for Your Nose, EXASCALE-NEWSLETTER, (3), 2017, 3

2017A. Lintermann, W. Schröder, A Hierarchical Numerical Journey through the Nasal Cavity: From Nose-Like Models to Real Anatomies, Fluid, Turbulence, and Combustion, special issue "CFD in Health", 2017, doi:10.1007/s10494-017-9876-0Download Paper

2017A. Lintermann, J.H. Göbbert, K. Vogt, W. Koch, A. Hetzel, Rhinodiagnost - Morphological and functional precision diagnostics of nasal cavities, InSiDE, Innovatives Supercomputing in Deutschland, Gauss Center for Supercomputing (GCS), High-Perfomance Computing Center Stuttart (HLRS), 15 (2), 2017, 106-109Download Paper

2017A. Lintermann, S. Habbinga, J.H. Göbbert, Comprehensive Visualization of Large-Scale Simulation Data Linked to Respiratory Flow Computations on HPC Systems, accepted for publication in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC '17, 2017, Video online on youtube.Download Paper

2017Y. Seike, S. Obi, A. Lintermann, LES Analysis of Horse-shoe Vortex around the Base of a Circular Cylinder by Means of a Lattice Boltzmann Method, Japan Society of Fluid Mechanics, Annual Meeting, 2017Download Paper

2017A. Lintermann, Strömende Bits und Bytes - Zusammenspiel von Höchstleistungsrechnern und Medizin, RWTH Themenheft, SS 2017, 2017, 20-28Download Paper

2017M. Schlottke-Lakemper, H. Yu, S. Berger, A. Lintermann, M. Meinke, W. Schröder, The Direct-Hybrid Method for Computational Aeroacoustics on HPC Systems, Proceedings of the JARA-HPC Symposium 2016 (JHPCS'16), Lecture Notes in Computer Science LNCS, Springer International Publishing, 2017, 70-81. doi: 10.1007/978-3-319-53862-4_7

2017A. Lintermann, W. Schröder, Simulation of aerosol particle deposition in the upper human tracheobronchial tract, European Journal of Mechanics - B/Fluids, 63, 2017, 73-89, doi:10.1016/j.euromechflu.2017.01.008Download Paper

2016M. Schlottke-Lakemper, F. Klemp, H.-J. Cheng, A. Lintermann, M. Meinke, W. Schröder, CFD/CAA Simulations on HPC Systems, Sustained Simulation Performance 2016, 2016, 139-157, doi:10.1007/978-3-319-46735-1_12

2016A. Lintermann, EFFICIENT PARALLEL GEOMETRY DISTRIBUTION FOR THE SIMULATION OF COMPLEX FLOWS, In M. Papadrakakis, V. Papadopoulos, G. Stefanou, & V. Plevris (Eds.), Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece., 2016, 1277-1293. doi: 10.7712/100016.1885.5067Download Paper

2016V. Marinova, I. Kerroumi, A. Lintermann, J.H. Göbbert, C. Moulinec, S. Rible, Y. Fournier, M. Bebahani, Numerical Analysis of the FDA Centrifugal Blood Pump, Proceedings of the 2016 NIC Symposium, NIC Series, 48, 2016, 355-364, ISBN: 978-3-95806-109-5Download Paper

2016M.O. Cetin, A. Pogorelov, A. Lintermann, H.-J. Cheng, M. Meinke, W. Schröder, Large-Scale Simulations of a Non-generic Helicopter Engine Nozzle and a Ducted Axial Fan, High Performance Computing in Science and Engineering '15, 2016, 389-405, doi:10.1007/978-3-319-24633-8_25

2015M.A. Schlottke, H.-J. Cheng, A. Lintermann, M. Meinke, W. Schröder, A direct-hybrid method for computational aeroacoustics, 21st AIAA/CEAS Aeroacoustics Conference, 2015

2015G. Brito Gadeschi, C. Siewert, A. Lintermann, M. Meinke, W. Schröder, Towards Large Multi-scale Particle Simulations with Conjugate Heat Transfer on Heterogeneous Super Computers, High Performance Computing in Science and Engineering'14, Springer International Publishing, 2015, 307-309, doi:10.1007/978-3-319-10810-0_21Download Paper

2014F. Schröder, A. Lintermann, M. Klaas, W. Schröder, Experimental and numerical investigation of the three-dimensional flow at expiration in the upper human airways, International Journal of Fluid Engineering, 6 (1), 2014, 9-28Download Paper

2014A. Lintermann, S. Schlimpert, J. H. Grimmen, C. Günther, M. Meinke, and W. Schröder, Massively Parallel Grid Generation on HPC Systems, Computer Methods in Applied Mechanics and Engineering, 277, 2014, 131-153, doi:10.1016/j.cma.2014.04.009Download Paper

2013A. Lintermann, M. Meinke, W. Schröder, Fluid mechanics based classification of the respiratory efficiency of several nasal cavities, Journal of Computers in Biology and Medicine, 43 (11), 2013, 1833-1852, doi:10.1016/j.compbiomed.2013.09.003Download Paper

2013A. Lintermann, Simulation of Nasal Cavity Flows for Virtual Surgery Environments, Supercomputing at the Leading Edge - Gauss Centre for Supercomputing, 2013, 16

2013N. Achilles, N. Pasch, A. Lintermann, W. Schröder, R. Mösges, Computational fluid dynamics: a suitable assessment tool for demonstrating the antiobstructive effect of drugs in the therapy of allergic rhinitis, Acta Otorhinolaryngologica Italica, 33 (1), 2013, 36-42, PMID:23620638

2012A. Lintermann, Simulation of Nasal Cavity Flows for Virtual Surgery Environments, inside, Innovatives Supercomputing in Deutschland, 10 (2), 2012, 16-23

2012A. Lintermann, M. Meinke, W. Schröder, Investigations of Human Nasal Cavity Flows Based on a Lattice-Boltzmann Method, High Performance Computing on Vector Systems 2011, Springer International Publishing, 2012, 143-158, doi:10.1007/978-3-642-22244-3

2011A. Lintermann, M. Meinke, W. Schröder, Investigations of the Inspiration and Heating Capability of the Human Nasal Cavity Based on a Lattice-Boltzmann Method, Proceedings of the ECCOMAS Thematic International Conference on Simulation and Modeling of Biological Flows (SIMBIO 2011), 2011

2010G. Eitel, R.K. Freitas, A. Lintermann, M. Meinke, W. Schröder, Numerical Simulation of Nasal Cavity Flow Based on a Lattice-Boltzmann method, New Results in Numerical and Experimental Fluid Mechanics VII, Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 112, 2010, 513-520

2009W. Schröder, M. Meinke, A. Lintermann, Accuracy Analysis of Surface Reconstructions for a Human Nasal Cavity from CT-Data, to be published, 2009

2009R. Mösges, M. Meinke, B. Wein, A. Lintermann, K. Henkel, M. Kleiner, SP105 - Effect of intranasal mometasone furoate on nasal airflow, Otolaryngology - Head and Neck Surgery, 141 (3), Suppl. 1, 2009, 125

2009R. Mösges, M. Meinke, A. Lintermann, K. Henkel, B. Wein, 3D-visualization Of The Nasal Flow After Allergen Challenge And The Effect Of Mometasone Furoate Nasal Spray (MFNS), Journal of Allergy and Clinical Immunology, 123 (2), Supp. 1, 2009, 135, doi:10.1016/j.jaci.2008.12.499

Angebotene Masterarbeiten:
24.10.2016Porting a Lattice-Boltzmann Flow Solver to GPU

The in-house software ZFS is a modular framework for the simulation of complex flows. One of the modules uses a Lattice-Boltzmann Method (LBM) to solve for the governing equations of flows. The LBM-code is massively parallelized and uses the Message Passing Interface (MPI) for inter-process communication and OpenMP for shared memory parallelization. The trend in High Performance Computing (HPC), however induces to use another level of parallelization by porting code to accelerators like NVIDIA GPUs or Intel Xeon Phis / Knights Landing. It is the aim of this thesis to port the existing LBM module of ZFS to an NVIDIA GPU and to investigate the performance gain obtainable by such an approach. The student will not only prepare a GPU implementation of the computational kernel but will also investigate the effort to transfer data to and from the GPU and the capability to hide the communication with other MPI processes and with the GPU behind the computation that is ideally balanced between both CPU and GPU.

07.11.2016Coupling Structure and Flow Solvers for the Simulation of Fluid-Structure Interaction

Nowadays, it becomes more and more important to accurately solve multi-physics problems by means of numerical simulations. This often requires to tightly couple different kinds of solvers that are responsible for the simulation of the different physics. This thesis should cover the direct coupling of a Lattice-Boltzmann flow solver and a structure solver to handle for Fluid-Structure Interaction (FSI) problems. Therefore, the student shall either integrate an existing structure solver into the in-house flow solver ZFS or use coupling libraries such as OpenPalm for the direct communication between an existing structure solver and ZFS. It is the aim to to have a working and efficient implementation at hand to simulate FSI problems in the field of bio-fluid mechanics on large scale supercomputers.

09.11.2016Workflow Automatization of a Nasal Cavity Flow Simulation Pipeline

The pipeline of simulating the respiratory flow in the human nasal cavity consists of multiple steps, i.e., the extraction of a smooth and realistic geometry of the airway from computer tomography images, generation of a computational mesh, the simulation itself, and the post-processing of the simulation data. These steps commonly obey a dependency chain and are in general performed step-by-step. An automatization of this workflow by stringing together established best-practice methods and algorithms would be beneficial for the simulation end user as well as of importance for the integration in clinical applications in the long run. The student should evaluate the available tools and should automate the individual steps of the workflow as well as the data exchange between the consecutive steps to end up with a black box for the simulation of nasal cavity flows.

09.11.2016Coupling a Level-Set Solver with a Lattice-Boltzmann Solver to Track Moving Boundaries

Simulating moving geometries in a rapidly changing flow is a challenging tasks. A lot of technical, biomedical, and generic multi-physics applications necessitate to consider moving geometries to realistically simulate the corresponding physical processes. Different methods are commonly applied to track moving surfaces in a flow, e.g., the geometry is physically moved, the mesh is deformed by Arbitrary Lagrangian (ALE) approaches, or a pure Lagrangian ansatz is followed. Representing the geometry as a level-set, however, comes at a lower cost and allows to use the corresponding signed-distance function as a distance measure to the surface that can easily be used to refine the computational mesh around the moving object. Such a level-set approach is already implemented in the in-house flow solver ZFS for a finite volume method. The aim of this thesis is to couple the available level-set solver to the Lattice-Boltzmann flow solver in ZFS as well to enable easy surface tracking and dynamic refinement of the computational mesh.

22.11.2016Implementation of a Particle Evaporization Model for the Numerical Analysis of Allicin Deposition in the Human Airways

Allicin is a cytotoxical product that might be capable of treating lung diseases like infections by streptococci. However, it is not well understood how such a treatment should ideally look like, i.e., what the optimal dose of allicin is, how the temperature influences its evaporization, and where the drug deposits in the human lung to take effect. Therefore, numerical simulations using a Euler-Lagrangian approach for the two-phase flow that accompany an experiment performed at the Institute of Aerodynamics are planned. To perform such simulations the available Lattice-Boltzmann flow solver and the Lagrangian particle solver need to be extended to account for particle evaporization. As such, a model for the evaporization including particle shrinkage as well as source-term definitions for a passive scalar are to be implemented by the student. The results of subsequent simulations should be juxtaposed to the corresponding experimental findings and a statistical analysis of the deposition and evaporization behavior should be performed.

Letztes Update: 14:23:53 - 21.03.2018

Contact | Disclaimer | Sitemap