Andreas Lintermann

Andreas Lintermann
Forschungszentrum Jülich · Institute for Advanced Simulation (IAS)

Dr.-Ing. Dipl.-Inform.
Coordinator of the European Center of Excellence in Exascale Computing CoE RAISE.

About

56
Publications
18,780
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390
Citations
Introduction
Additional affiliations
November 2019 - November 2019
Forschungszentrum Jülich
Position
  • Lecturer
September 2019 - present
Forschungszentrum Jülich
Position
  • Group Leader
Description
  • Lead of the Simulation Laboratory "Highly Scalable Fluids & Solids Engineering" of the Jülich Aachen Research Alliance Center for Simulation and Data Science (JARA-CSD)
January 2019 - August 2019
RWTH Aachen University
Position
  • Group Leader
Education
November 2019 - November 2019
Jülich Supercomputing Centre (JSC)
Field of study
  • HPC & ANSYS Fluent
October 2018 - October 2018
Jülich Supercomputing Centre (JSC)
Field of study
  • ARM Hackathon
October 2017 - October 2017
Jülich Supercomputing Centre (JSC)
Field of study
  • CECAM Code_Saturne Workshop

Publications

Publications (56)
Article
Full-text available
The report reflects an agreement based on the consensus conference of the International Standardization Committee on the Objective Assessment of the Nasal Airway in Riga, 2nd Nov. 2016. The aim of the conference was to address the existing nasal airway function tests and to take into account physical, mathematical and technical correctness as a bas...
Article
Full-text available
Many simulation workflows require to prepare the data for the simulation manually. This is time consuming and leads to a massive bottleneck when a large number of numerical simulations is requested. This bottleneck can be overcome by an automated data processing pipeline. Such a novel pipeline is developed for a medical use case from rhinology, whe...
Chapter
Chapter “Machine-Learning-Based Control of Perturbed and Heated Channel Flows” was previously published non-open access. It has now been changed to open access under a CC BY 4.0 license and the copyright holder updated to ‘The Author(s)’.
Article
Fluid mechanical properties of respiratory flow such as the pressure loss, temperature distribution, or the wall shear stress characterize the condition of a nasal cavity from a physical point of view. Simulations based on computational fluid dynamics methods are able to deliver in-depth details on respiration. Integrating such tools into virtual s...
Article
Full-text available
Physics-based analyses have the potential to consolidate and substantiate medical diagnoses in rhinology. Such methods are frequently subject to intense investigations in research. However, they are not used in clinical applications, yet. One issue preventing their direct integration is that these methods are commonly developed as isolated solution...
Conference Paper
Full-text available
A reinforcement learning algorithm is coupled to a thermal lattice-Boltzmann method to control flow through a two-dimensional heated channel narrowed by a bump. The algorithm is allowed to change the disturbance factor of the bump and receives feedback in terms of the pressure loss and temperature increase between the inflow and out-flow region of...
Article
Full-text available
The impact of the human nasal airway complexity on the pharyngeal airway fluid mechanics is investigated at inspiration. It is the aim to find a suitable degree of geometrical reduction that allows for an efficient segmentation of the human airways from cone-beam computed tomography images. The flow physics is simulated by a lattice Boltzmann metho...
Conference Paper
Full-text available
We observe a continuously increased use of Deep Learning (DL) as a specific type of Machine Learning (ML) for data-intensive problems (i.e., ’big data’) that requires powerful computing resources with equally increasing performance. Consequently, innovative heterogeneous High-Performance Computing (HPC) systems based on multi-core CPUs and many-cor...
Chapter
Benefiting and accessing high-performance computing resources can be quite difficult. Unlike domain scientists with a background in computational science, non-experts coming from, e.g., various medical fields, have almost no chance to run numerical simulations on large-scale systems. To provide easy access and a user-friendly interface to supercomp...
Chapter
Full-text available
Benefiting and accessing high-performance computing resources can be quite difficult. Unlike domain scientists with a background in computational science, non-experts coming from, e.g., various medical fields, have almost no chance to run numerical simulations on large-scale systems. To provide easy access and a user-friendly interface to super-com...
Chapter
Full-text available
In CFD modelling, small cells or elements are created to fill the volume to simulate the flow in. They constitute a mesh where each cell represents a discrete space that represents the flow locally. Mathematical equations that represent the flow physics are then applied to each cell of the mesh. Generating a high quality mesh is extremely important...
Conference Paper
Full-text available
Using traditional computational fluid dynamics and aeroa-coustics methods, the accurate simulation of aeroacoustic sources requires high compute resources to resolve all necessary physical phenomena. In contrast, once trained, artificial neural networks such as deep encoder-decoder convolutional networks allow to predict aeroacoustics at lower cost...
Article
Full-text available
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 experime...
Article
Full-text available
Complex geometries pose multiple challenges to the field of computational fluid dynamics. Grid generation for intricate objects is often difficult and requires accurate and scalable geometrical methods to generate meshes for large-scale computations. Such simulations, furthermore, presume optimized scalability on high-performance computers to solve...
Article
Full-text available
Multi-physics simulations are at the heart of today's engineering applications. The trend is towards more realistic and detailed simulations, which demand highly resolved spatial and temporal scales of various physical mechanisms to solve engineering problems in a reasonable amount of time. As a consequence, numerical codes need to run efficiently...
Chapter
Full-text available
Transverse maxillary deficiency is a common pathological condition. Patients suffering from this pathology often have narrowed airways compared to healthy humans. To cure such an anatomic defective position, a new method, the Miniscrew-Assisted Rapid Maxillary Expansion (MARME), has been developed. In previous studies, the effects of this treatment...
Chapter
Computational fluid dynamics methods enable to numerically predict complex flows with the help of computers. In the fields of Engineering and Physics they are already in use for decades to support design decissions and to get insight into complex physical phenomena. The simulation techniques have massively evolved over the past years and can nowada...
Article
Full-text available
In late 2017, Hardkernel released the ODROID-MC1 cluster system, which is based on the ODROID-XU4 single-board computer. The cluster consists of four nodes, each equipped with a Samsung Exynos 5 Octa (5422) CPU. The system promises high computational power under low energy consumption. In this paper, the applicability of such a systems to scientifi...
Chapter
Full-text available
The article describes how to setup a cluster system with a shared file system using the Network File System (NFS) and the Message Passing Interface (MPI) together with the cluster job scheduler SLURM on an ODROID-MC1 ARM-based mini cluster. Examples on how to run parallel computations on this system are given. An example from Computational Fluid Dy...
Article
Full-text available
The immense increase of computational power in the past decades led to an evolution of numerical simulations in all kind of engineering applications. New developments in medical technologies in rhinology employ computational fluid dynamics methods to explore pathologies from a fluid-mechanics point of view. Such methods have grown mature and are ab...
Chapter
Full-text available
Research and analysis of large amounts of data from scientific simulations, in-situ visualization, and application control are convincing scenarios for interactive supercomputing. The open-source software Jupyter (or JupyterLab) is a tool that has already been used successfully in many scientific disciplines. With its open and flexible web-based de...
Article
Full-text available
Objectives: To evaluate changes in the volume and cross-sectional area of the nasal airway before and 1 year after nonsurgical miniscrew-assisted rapid maxillary expansion (MARME) in young adults. Materials and methods: Fourteen patients (mean age, 22.7 years; 10 women, four men) with a transverse discrepancy who underwent cone beam computed tom...
Article
Full-text available
The Rhinodiagnost project prepares the implementation of a NOSE Service Center to deliver new extended possibilities of functional diagnostics to practicing physicians in rhinology and to advance personalized medicine. A new standardized 4-phase rhinomanometer will be used together with computational fluid dynamics simulations to obtain detailed in...
Conference Paper
Full-text available
The horse-shoe vortex appearing in front of the circular cylinder placed on the boundary layer was numerically investigated. The unsteady, three-dimensional feature of the flow field was captured by a lattice-Boltzmann method, where more than 300 million grids were used. The visualized instantaneous flow field indicated a complex vortex structure b...
Article
Full-text available
Respiration is an essential physiological functionality of the human organism and is responsible for supplying the body with oxygen. The nasal cavity takes care of olfaction and degustation, filters fine dust from the air as well as moisturizes and tempers the air. Therefore, it is indispensable in respiration, and a degradation of only one or a fe...
Conference Paper
Classic hybrid methods for computational aeroacoustics use different solvers and methods to predict the flow field and the acoustic pressure field in two separate steps, which involves data exchange via disk I/O between the solvers. This limits the efficiency of the approach, as parallel I/O usually does not scale well to large numbers of cores. In...
Article
Full-text available
The deposition of aerosol particles, e.g., fine dust particles, diesel aerosols, or wood dust, in the human lung is responsible for many respiratory diseases. Small respirable particles can cause inflammations of the bronchi, coughing, allergic reactions, and even lung cancer. The deposition of such aerosols in a realistic model of the upper human...
Book
This book constitutes the thoroughly refereed post-conference proceedings of the First JARA High-Performance Computing Symposium, JARA-HPC 2016, held in Aachen, Germany, in October 2016. The 21 full papers presented were carefully reviewed and selected from 26 submissions. They cover many diverse topics, such as coupling methods and strategies in...
Chapter
In this paper, a highly scalable numerical method is presented that allows to compute the aerodynamic sound from a turbulent flow field on HPC systems. A hybrid CFD-CAA method is used to compute the flow and the acoustic field, in which the two solvers are running in parallel to avoid expensive I/O operations for the acoustic source terms. Herein,...
Research
Full-text available
This is a brochure of the Simulation Laboratory Highly Scalable Fluids and Solids Engineering (FSE) of the Jülich Aachen Research Alliance - High Performance Computing (JARA-HPC).
Conference Paper
Full-text available
Highly resolved intrinsic geometrical shapes used in three-dimensional parallel simulations of fluid flows consume a large portion of the available memory when loaded serially on every process. This demands for a memory efficient implementation of a distributed geometry which is however a non-trivial task when complex spatial domain decomposition m...
Chapter
Full-text available
Large-eddy simulations (LESs) of a helicopter engine jet and an axial fan are performed by using locally refined Cartesian hierarchical meshes. For the computations a high-fidelity, massively parallelized solver for compressible flow is used. To verify the numerical method, a coaxial hot round jet is computed and the results are compared to referen...
Conference Paper
Full-text available
Ventricular Assist Devices (VADs) are commonly implanted to assist patients suffering from heart diseases. They provide long- and short-term support for the human heart and help patients to recover from heart attacks and from congestive heart failure. It is essential to design blood-sensitive VADs to minimize the risk of hemolysis and thrombosis. T...
Chapter
Full-text available
We present numerical methods based on hierarchical Cartesian grids for the simulation of particle flows of different length scales. These include Eulerian-Lagrangian approaches for fully resolved moving particles with conjugate heat transfer as well as one-way coupled Lagrangian particle models for large-scale particle simulations. The domain decom...
Conference Paper
In this work, a highly scalable numerical method is presented that allows to compute the aerodynamic sound from the flow field for large-scale problems. The acoustic perturbation equations are solved by a high-order discontinuous Galerkin method and by using the acoustic source terms obtained from an approximate solution of the Navier-Stokes equati...
Thesis
Details Within this work the flow in the human nasal cavity is investigated using Computational Fluid Dynamics (CFD) methods. Different approaches exist to numerically simulate flows, e.g., Finite-Volume Methods (FVM), and Finite-Element Methods (FEM). However, when it comes to handling complex and intricate geometries like the nasal cavity, the L...
Article
Full-text available
This study presents a comparison of numerical and experimental results of the steady flow field in the left main-bronchus of the upper human airways during exhalation. Stereo-particle-image velocimetry measurements were performed in multiple parallel measurement planes for a Reynolds number of Re_D = 700 based on the hydraulic diameter of the trach...
Article
Full-text available
The automatic grid generation on high performance computers is a challenging task under the restriction of computational power and memory availability. The increasing demand for high grid resolutions to simulate complex flow configurations necessitates parallel grid generation on multicore machines with distributed memory. In this study, a new robu...
Article
Full-text available
The flow in the human nasal cavity is of great importance to understand rhinologic pathologies like impaired respiration or heating capabilities, a diminished sense of taste and smell, and the presence of dry mucous membranes. To numerically analyze this flow problem a highly efficient and scalable Thermal Lattice-BGK (TLBGK) solver is used, which...
Article
Full-text available
The human nose is a complex organ with different physiological functions. A treatment of dysfunctions of the human nose can therefore be difficult. One of the main reasons is a missing understanding of the flow phenomena which occur in the nasal cavity. The shape of the nasal cavity plays a major role in the heating and moisturizing capabilities an...
Article
Full-text available
This systematic review aims first to summarize the previous areas of application of computational fluid dynamics (CFD) and then to demonstrate that CFD is also a suitable instrument for generating three-dimensional images that depict drug effects on nasal mucosa. Special emphasis is placed on the three-dimensional visualization of the antiobstructi...
Article
Full-text available
The anatomy and the functionality of the human respiration system is well understood, whereas physical processes such as the details of the gas transport within the respiration cycle lack insight. The influence of the air flow on physiological functions like the sense of smell and taste is only one example which is of great interest. Furthermore, t...
Chapter
Full-text available
Complaints like impaired respiration capabilities or a reduced sense of smell and taste are common for pathologically shaped nasal cavities. The Lattice-Boltzmann Method (LBM), which is particularly suited to simulate flows in intricate geometries, is used to analyze the influence of the geometry of the nasal cavity on the pressure loss in a non-inva...
Conference Paper
Full-text available
Complaints like impaired respiration capabilities or a reduced sense of smell and taste are common for pathologically shaped nasal cavities. The Lattice-Boltzmann Method (LBM), which is particularly suited to simulate flows in intricate geometries, is used to analyze the influence of the geometry of the nasal cavity on the pressure loss in a non-inva...
Conference Paper
Full-text available
To analyze rhinological complaints like a reduction of breathing capabilities, performance reduction of the olfactory organ, and complaints inherited by diminished heating and moisturizing functions of the human nasal cavity, flow simulations with a Lattice − Boltzmann method are carried out using refined Cartesian meshes to resolve, e.g., the wall...
Chapter
Full-text available
The flow in a real human nose is numerically simulated at steady inspiration and expiration. The analysis uses a Lattice Boltzmann method (LBM) which is particularly suited for flows in extremely intricate geometries. The nasal geometry is extracted from computer tomography (CT) data using a so-called reconstruction pipeline. Thus, for any nose the...
Thesis
Full-text available
In this diploma thesis, the accuracy of three-dimensional surface reconstructions of the human nasal cavity from Computer Tomography (CT) volume images is analyzed. For this purpose, a reconstruction pipeline is developed, allowing the extraction of the nasal cavity surface, which then can be used to carry out flow simulations to analyze breathing...
Poster
Full-text available
In this study nasal allergen challenge tests have been performed with high resolution MR-imaging of the head, as a basis for 3D-visualization of the spatial distribution of mucosal swelling in the nasal cavity. The purpose of this investigation was to document the protective effect of Mometasone furoate nasal spray (MFNS) on exposure to allergens.

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Cited By

Projects

Projects (3)
Project
The European Center of Excellence in Exascale Computing "Research on AI- and Simulation-Based Engineering at Exascale" (CoE RAISE) is a project funded by the European Commission under the Horizon 2020 Framework Programme, European research infrastructures (including e-Infrastructures). In RAISE, researchers from science and industry develop novel, scalable Artificial Intelligence technologies towards Exascale along representative use-cases from Engineering and Natural Sciences.
Project
A meaningful rhinological diagnosis is key to evaluate the effectiveness of the patient-specific nasal functionalities, taking into account the respective pathology. The diagnostic quality is currently primarily based on the quality of the training of the practicing physician and his or her experience in the treatment of specific clinical pictures. Unfortunately, such analyses do not include any information on the respiratory comfort of a patient defined by the fluid mechanical properties of respiration. However, current developments in the field of computational fluid dynamics (CFD) and high performance computing (HPC) allow to patient-individually predict the flow in the human nasal cavity by means of numerical simulations, and thereby enable to identify anatomical locations of pathologies. In order to improve this situation the IraSME project RHINODIAGNOST will be offering extended possibilities of functional diagnostics, and providing a network of service points.
Project
The Rhinodiagnost project prepares the implementation of a NOSE Service Center to deliver new extended possibilities of functional diagnostics to practicing physicians in rhinology and to advance personalized medicine. A new standardized 4-phase rhinomanometer will be used together with computational fluid dynamics simulations to obtain detailed information on respiratory flows. This way, Rhinodiagnost will allow to optimze strategies to increase surgery success rates and adapt treatment therapies a-priori a medical intervention. That is, on-the-fly feedback of anatomical modifications performed in virtual surgeries and in-situ computational steering of simulations running on high-performance computers will support surgeons in finding the optimal procedure for the individual patient.