


Institute of Aerodynamics 
Chair of Fluid Mechanics and Institute of Aerodynamics Aachen 









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 Lintermann, Andreas, Dr.Ing. Dipl.Inform. (JARAHPC)  Phone:  +49 241 80 90419 (AIA) / 49 2461 61 1754 (JSC FZJ)  Fax:  +49 241 80 92257  Email:   Raum:  106   

Allgemeine Informationen:
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,
JARAHPC (Jülich Aachen Research Alliance, High Performance Computing)
SimLab Highly Scalable Fluids & Solids Engineering

03/0911/14:

wissenschaftlicher Angestellter,
Aerodynamisches Institut und Lehrstuhl für Strömungslehre der RWTH Aachen

03/09:

Abschluss Studiengang DiplomInformatik RWTH Aachen

09/0703/08:

Diplomarbeit am
Aerodynamischen Institut und Lehrstuhl für Strömungslehre der RWTH Aachen (weitere Informationen siehe unten)

11/0503/09:

Studentische Hilfskraft am
Aerodynamischen Institut und Lehrstuhl für Strömungslehre der RWTH Aachen
(Arbeitsfeld: Webadministration und Entwicklung von Webanwendungen)

03/05:

Vordiplom Studiengang DiplomInformatik RWTH Aachen

10/0103/09:

Studium der DiplomInformatik an der RWTH Aachen
(Vertiefung: Computer Graphics & Multimedia)
Nebenfach Biologie (Spezialisierung: Genetik)

07/0006/01:

Wehrdienst bei der Luftwaffe der Bundeswehr im Stab
Fliegende Gruppe des Jagdbombergeschwaders 31 "Boelcke"

Projekte: Strömung und Partikelablagerung in der menschlichen Lunge (13/2013  heute)
Abstract:
The deposition of inhaled aerosols and particles in the human lung can cause severe damage. To understand the cause of pathologies inherited from such depositions numerical simulations of the flow in the human lung using a LatticeBoltzmann Method (LBM) are performed. Particles within the flow are tracked using a Lagrangian approach and the deposition locations are analysed for different particle densities and diameters.
Evolving Dean vortices in the first bifurcation of the trachea
Particles in the human lung travelling in streamwise direction
 Massively parallel mesh genration on High Performance Computers (09/2013  11/2013)
Abstract:
Detailed numerical flow simulations require large computational meshes to resolve finegrained secondary flow structures and turbulence. Serial mesh generation is limited to a small number of computational cells due to local memory restrictions and due to high computational times such algorithms are unfeasible. Therefore, a parallel mesh generator has been developed within this project that allows to generate billions of cells on hundreds of thousands of cores within only a few seconds, i.e., 0.64 x 10¹² cells have been generated on 112768 cores on the CRAY Hermit at HLRS Stuttgart in only 268 seconds.
Numerical Cartesian grid of the nasal cavity consisting of 1.8 x 10⁹ cells.
 Strömung in der menschlichen Nasenhöhle (03/2009  heute)
Abstract:
The flow in the human nasal cavity is important in defining the respiration comfort of a rhinology patient and is determined by the shape of the nasal cavity. Within this project, the respiratory efficiency, the heating capability, the wallshear stress and heat flux are investigated to evaluate and categorize nasal cavities and support surgical decision processes.
Frontal view: streamline visualization of the flow in the human nasal cavity
Side view: streamlines of the flow and CTdata of the human nasal cavity
Details:
Surfaces of the human nasal cavity, extracted from Computer Tomography (CT) data with an inhouse coded software (see below), are used to analyze breathing problems via fluid mechanical analysis. A structured grid is generated from the surface by iteratively refining an initial bounding box around the nasal cavity geometry. An inside/outside determination allows a reduction in cell quantity and a limitation to the control volume within the geometry. Boundary conditions are set at the inflow and outflow boundaries, which can be the nostrils or the throat, depending on the simulation direction (i.e. inspiration or expiration). The grid is split into several domains with the help of a Hilbert decomposition and distributed for multi processor computing with MPI. An inhouse coded LatticeBoltzmann flow solver then calculates velocity vectors and pressure distributions for each cell. Information is propagated in each timestep, initialized by the boundary conditions set at the in/outflow boundaries, resulting in a complete flow field within the nasal cavity.
The following animations shows a streamline tracing and cut planes during inspiration at Re=200 for a patient suffering from swollen mucous membranes within the nasal caity, reducing breathing ability.
Streamline velocity field visualization of nasal cavity inspiration at Re=200
Cut plane velocity field visualization of nasal cavity inspiration at Re=200
 Oberflächenrekonstruktion der menschlichen Nasenhöhle zur strömungsmechanischen Analyse von Atembeschwerden (10/2008  03/2009, Diplomarbeit)
Abstract:
The numerical simulation of the flow in the human nasal cavity requires realistic geometrical models which are obtained from Computer Tomography (CT) images. Within this work, a pipeline has been developed to extract such surfaces from CTdata. Furthermore, an analysis of the accuracy of the applied algorithms has been performed.
In and outflow boundaries of the nasal cavity

Pseudo CTimage

Max. surface curvature of the nasal cavity surface
Details:
To obtain a computer model of the patient's nasal cavity, which is required for a flow
simulation, it is necessary to have a 3dimensional volume representation of the
human head. CT or MRTimages, which we obtain from the
Department of Diagnostic Radiology of RWTH Aachen University
Hospital or from the
Praxisgemeinschaft im Kapuzinerkarree in Aachen, provide such a
representation.
A software, based on
MITK,
VTK and
ITK has been developed during this diploma thesis at our
institute, which is able to extract a 3dimensional surfacerepresentation of the the nasal
cavity from medical volume images.
The extraction of such a surface follows a certain pipeline. Often, medical images
require a tuning, i.e. a preprocessing for an easier detection of boundaries, which is
realized with certain filter methods. A subsequent segmentation of the region of
interest (ROI) is perfromed with the help of a Seeded Region Growing Algorithm as
proposed by Adams et. al.. The surface is afterwards generated from this
boxmodel with the help of the Marching Cubes algorithm. The
obtained surface constains aliasingartefacts, which have to be smoothed away.
An investigation of two kinds of smoothing methods
(Laplacian Smoothing and smoothing with the help of a windowed sinc function)
for the purpose of removing high frequency details from the surface were performed. Additionally, a
flow simulation requires the definition of boundaries and prevailing conditions. Our
software helps to extract such boundaries at the nostrils and the throat.
Veröffentlichungen:2018  K. Vogt, G. BachmannHarildstad, 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/Rhino17.084  Download Paper     2017  J.H. Göbbert, A. Lintermann, Flow Predictions for Your Nose, EXASCALENEWSLETTER, (3), 2017, 3     2017  A. Lintermann, W. Schröder, A Hierarchical Numerical Journey through the Nasal Cavity: From NoseLike Models to Real Anatomies, Fluid, Turbulence, and Combustion, special issue "CFD in Health", 2017, doi:10.1007/s1049401798760  Download Paper     2017  A. 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), HighPerfomance Computing Center Stuttart (HLRS), 15 (2), 2017, 106109  Download Paper     2017  A. Lintermann, S. Habbinga, J.H. Göbbert, Comprehensive Visualization of LargeScale 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     2017  Y. Seike, S. Obi, A. Lintermann, LES Analysis of Horseshoe Vortex around the Base of a Circular Cylinder by Means of a Lattice Boltzmann Method, Japan Society of Fluid Mechanics, Annual Meeting, 2017  Download Paper     2017  A. Lintermann, Strömende Bits und Bytes  Zusammenspiel von Höchstleistungsrechnern und Medizin, RWTH Themenheft, SS 2017, 2017, 2028  Download Paper     2017  M. SchlottkeLakemper, H. Yu, S. Berger, A. Lintermann, M. Meinke, W. Schröder, The DirectHybrid Method for Computational Aeroacoustics on HPC Systems, Proceedings of the JARAHPC Symposium 2016 (JHPCS'16), Lecture Notes in Computer Science LNCS, Springer International Publishing, 2017, 7081. doi: 10.1007/9783319538624_7     2017  A. Lintermann, W. Schröder, Simulation of aerosol particle deposition in the upper human tracheobronchial tract, European Journal of Mechanics  B/Fluids, 63, 2017, 7389, doi:10.1016/j.euromechflu.2017.01.008  Download Paper     2016  M. SchlottkeLakemper, F. Klemp, H.J. Cheng, A. Lintermann, M. Meinke, W. Schröder, CFD/CAA Simulations on HPC Systems, Sustained Simulation Performance 2016, 2016, 139157, doi:10.1007/9783319467351_12     2016  A. 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, 12771293. doi: 10.7712/100016.1885.5067  Download Paper     2016  V. 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, 355364, ISBN: 9783958061095  Download Paper     2016  M.O. Cetin, A. Pogorelov, A. Lintermann, H.J. Cheng, M. Meinke, W. Schröder, LargeScale Simulations of a Nongeneric Helicopter Engine Nozzle and a Ducted Axial Fan, High Performance Computing in Science and Engineering '15, 2016, 389405, doi:10.1007/9783319246338_25     2015  M.A. Schlottke, H.J. Cheng, A. Lintermann, M. Meinke, W. Schröder, A directhybrid method for computational aeroacoustics, 21st AIAA/CEAS Aeroacoustics Conference, 2015     2015  G. Brito Gadeschi, C. Siewert, A. Lintermann, M. Meinke, W. Schröder, Towards Large Multiscale Particle Simulations with Conjugate Heat Transfer on Heterogeneous Super Computers, High Performance Computing in Science and Engineering'14, Springer International Publishing, 2015, 307309, doi:10.1007/9783319108100_21  Download Paper     2014  F. Schröder, A. Lintermann, M. Klaas, W. Schröder, Experimental and numerical investigation of the threedimensional flow at expiration in the upper human airways, International Journal of Fluid Engineering, 6 (1), 2014, 928  Download Paper     2014  A. 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, 131153, doi:10.1016/j.cma.2014.04.009  Download Paper     2013  A. 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, 18331852, doi:10.1016/j.compbiomed.2013.09.003  Download Paper     2013  A. Lintermann, Simulation of Nasal Cavity Flows for Virtual Surgery Environments, Supercomputing at the Leading Edge  Gauss Centre for Supercomputing, 2013, 16     2013  N. 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, 3642, PMID:23620638     2012  A. Lintermann, Simulation of Nasal Cavity Flows for Virtual Surgery Environments, inside, Innovatives Supercomputing in Deutschland, 10 (2), 2012, 1623     2012  A. Lintermann, M. Meinke, W. Schröder, Investigations of Human Nasal Cavity Flows Based on a LatticeBoltzmann Method, High Performance Computing on Vector Systems 2011, Springer International Publishing, 2012, 143158, doi:10.1007/9783642222443     2011  A. Lintermann, M. Meinke, W. Schröder, Investigations of the Inspiration and Heating Capability of the Human Nasal Cavity Based on a LatticeBoltzmann Method, Proceedings of the ECCOMAS Thematic International Conference on Simulation and Modeling of Biological Flows (SIMBIO 2011), 2011     2010  G. Eitel, R.K. Freitas, A. Lintermann, M. Meinke, W. Schröder, Numerical Simulation of Nasal Cavity Flow Based on a LatticeBoltzmann method, New Results in Numerical and Experimental Fluid Mechanics VII, Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 112, 2010, 513520     2009  W. Schröder, M. Meinke, A. Lintermann, Accuracy Analysis of Surface Reconstructions for a Human Nasal Cavity from CTData, to be published, 2009     2009  R. 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     2009  R. Mösges, M. Meinke, A. Lintermann, K. Henkel, B. Wein, 3Dvisualization 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:24.10.2016  Porting a LatticeBoltzmann Flow Solver to GPU    The inhouse software ZFS is a modular framework for the simulation of complex flows. One of the modules uses a LatticeBoltzmann Method (LBM) to solve for the governing equations of flows. The LBMcode is massively parallelized and uses the Message Passing Interface (MPI) for interprocess 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.  07.11.2016  Coupling Structure and Flow Solvers for the Simulation of FluidStructure Interaction    Nowadays, it becomes more and more important to accurately solve multiphysics 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 LatticeBoltzmann flow solver and a structure solver to handle for FluidStructure Interaction (FSI) problems. Therefore, the student shall either integrate an existing structure solver into the inhouse 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 biofluid mechanics on large scale supercomputers.  09.11.2016  Workflow 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 postprocessing of the simulation data. These steps commonly obey a dependency chain and are in general performed stepbystep. An automatization of this workflow by stringing together established bestpractice 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.
 09.11.2016  Coupling a LevelSet Solver with a LatticeBoltzmann Solver to Track Moving Boundaries    Simulating moving geometries in a rapidly changing flow is a challenging tasks. A lot of technical, biomedical, and generic multiphysics 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 levelset, however, comes at a lower cost and allows to use the corresponding signeddistance function as a distance measure to the surface that can easily be used to refine the computational mesh around the moving object. Such a levelset approach is already implemented in the inhouse flow solver ZFS for a finite volume method. The aim of this thesis is to couple the available levelset solver to the LatticeBoltzmann flow solver in ZFS as well to enable easy surface tracking and dynamic refinement of the computational mesh.  22.11.2016  Implementation 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 EulerLagrangian approach for the twophase flow that accompany an experiment performed at the Institute of Aerodynamics are planned. To perform such simulations the available LatticeBoltzmann 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 sourceterm 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


