Benjamin Uekermann

Benjamin Uekermann
Universität Stuttgart · Institute for Parallel and Distributed Computing

Jun.-Prof.

About

47
Publications
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528
Citations

Publications

Publications (47)
Article
We propose two enhancements of quasi-Newton methods used to accelerate coupling iterations for partitioned fluid-structure interaction. Quasi-Newton methods have been established as flexible, yet robust, efficient and accurate coupling methods of multi-physics simulations in general. The coupling library preCICE provides several variants, the so-ca...
Article
preCICE is a free/open-source coupling library. It enables creating partitioned multi-physics simulations by gluing together separate software packages. This paper summarizes the development efforts in preCICE of the past five years. During this time span, we have turned the software from a working prototype -- sophisticated numerical coupling meth...
Preprint
Full-text available
preCICE is a free/open-source coupling library. It enables creating partitioned multi-physics simulations by gluing together separate software packages. This paper summarizes the development efforts in preCICE of the past five years. During this time span, we have turned the software from a working prototype-sophisticated numerical coupling methods...
Preprint
Full-text available
PreCICE is a free/open-source coupling library. It enables creating partitioned multi-physics simulations by gluing together separate software packages. This paper summarizes the development efforts in preCICE of the past five years. During this time span, we have turned the software from a working prototype -- sophisticated numerical coupling meth...
Article
The new software FEniCS–preCICE is a middle software layer, sitting in between the existing finite-element library FEniCS and the coupling library preCICE. The middle layer simplifies coupling (existing) FEniCS application codes to other simulation software via preCICE. To this end, FEniCS–preCICE converts between FEniCS and preCICE mesh and data s...
Article
Full-text available
preCICE is an open-source library, that provides comprehensive functionality to couple independent parallelized solver codes to establish a partitioned multi-physics multi-code simulation environment. For data communication between the respective executables at runtime, it implements a peer-to-peer concept, which renders the computational cost of t...
Preprint
Full-text available
The new software FEniCS-preCICE is a middle software layer, sitting in between the existing finite-element library FEniCS and the coupling library preCICE. The middle layer simplifies coupling (existing) FEniCS application codes to other simulation software via preCICE. To this end, FEniCS-preCICE converts between FEniCS and preCICE mesh and data s...
Article
Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in itself. Research software must be sustainable in order to understand, replicate, reproduce, and build upon existing research or conduct...
Chapter
Full-text available
In this paper, we present results of the second phase of the project ExaFSA within the priority program SPP1648—Software for Exascale Computing. Our task was to establish a simulation environment consisting of specialized highly efficient and scalable solvers for the involved physical aspects with a particular focus on the computationally challengi...
Article
We present novel coupling schemes for partitioned multi‐physics simulation that combine four important aspects for strongly coupled problems: implicit coupling per time step, fast and robust acceleration of the corresponding iterative coupling, support for multi‐rate time stepping, and higher‐order convergence in time. To achieve this, we combine w...
Article
Full-text available
Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in itself. Research software must be sustainable in order to understand, replicate, reproduce, and build upon existing research or conduct...
Preprint
Full-text available
Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in itself. Research software must be sustainable in order to understand, replicate, reproduce, and build upon existing research or conduct...
Preprint
We present novel coupling schemes for partitioned multi-physics simulation that combine four important aspects for strongly coupled problems: implicit coupling per time step, fast and robust acceleration of the corresponding iterative coupling, support for multi-rate time stepping, and higher-order convergence in time. To achieve this, we combine w...
Book
This open access book summarizes the research done and results obtained in the second funding phase of the Priority Program 1648 "Software for Exascale Computing" (SPPEXA) of the German Research Foundation (DFG) presented at the SPPEXA Symposium in Dresden during October 21-23, 2019. In that respect, it both represents a continuation of Vol. 113 in...
Poster
Full-text available
Coupling OpenFOAM solvers and external solvers for Conjugate Heat Transfer, Fluid-Structure Interaction, and other problem types using the free/open-source coupling library preCICE. Because of the advances coupling, mapping, and communication features of preCICE, the coupled simulations are high-performance and scalable.
Presentation
Full-text available
Fluid-structure interaction problems are solved by applying either the monolithic or the partitioned approach [1]. While the monolithic approach usually provides more stable solutions, the partitioned approach has many advantages from a software engineering perspective as, for example, the reuse of well-tested existing solvers (participants) in a b...
Conference Paper
Full-text available
Using the partitioned approach, specialized single-physics solvers with different numerical properties may be combined to solve a multi-physics setup. This allows us to use expert solvers for every considered phenomenon. To handle their respective problems in the most efficient way solvers use non-matching meshes-both in the spatial and temporal do...
Article
The propagation of uncertainty in physical parameters of fluid-structure interaction problems is a challenging task-both mathematically and in terms of computational workload. In this paper, we employ nonintrusive polynomial chaos expansion and model the uncertainty in five independent input parameters that characterize both fluid and structure. We...
Chapter
We present a multilevel stochastic collocation (MLSC) with a dimensionality reduction approach to quantify the uncertainty in computationally intensive applications. Standard MLSC typically employs grids with predetermined resolutions. Even more, stochastic dimensionality reduction has not been considered in previous MLSC formulations. In this pape...
Conference Paper
Full-text available
To deal with the increasing complexity of today’s multiphysics applications, the reuse of existing simulation software often becomes a necessity. Coupling to open-source simulation codes, in particular, is a time-efficient way to tackle new applications. The open-source coupling library preCICE enables such coupling in a minimally-invasive way. In...
Conference Paper
Full-text available
Interpolation based on radial basis functions (RBF) is a standard data mapping method used in multi-physics coupling. It works on scattered data without requiring additional mesh topology or neighborhood information of support points. However, system matrices of the equations for the coefficients tend to be ill-conditioned. In this work, we illustr...
Article
Full-text available
We present an Anderson acceleration-based approach to spatially couple three-dimensional Lattice Boltzmann and Navier–Stokes (LBNS) flow simulations. This allows to locally exploit the computational features of both fluid flow solver approaches to the fullest extent and yields enhanced control to match the LB and NS degrees of freedom within the LB...
Chapter
The partitioned simulation of fluid–structure interactions offers great flexibility in terms of exchanging flow and structure solver and using existing established codes. However, it often suffers from slow convergence and limited parallel scalability. Quasi-Newton or accelerated fixed-point iterations are a very efficient way to solve the converge...
Thesis
Full-text available
Today's multi-physics applications suffer from a lack of either flexibility or scalability. Only reconciling both will allow to translate the higher compute power of the forthcoming exa-scale era into more complex scenarios with more relevant physical effects covered. Only then, the promised tremendous advances in the most challenging multi-physics...
Article
Full-text available
The Quasi-Newton Inverse Least Squares method has become a popular method to solve partitioned interaction problems. Its performance can be enhanced by using information from previous time-steps if care is taken of the possible ill-conditioning that results. To enhance the stability, filtering has been used. In this paper we show that a relatively...
Book
The Quasi-Newton Inverse Least Squares method has become a popular method to solve partitioned interaction problems. Its performance can be enhanced by using information from previous time-steps if care is taken of the possible ill-conditioning that results. To enhance the stability, ltering has been used. In this paper we show that a relatively mi...
Book
The Quasi-Newton Inverse Least Squares method has become a popular method to solve partitioned interaction problems. Its performance can be enhanced by using information from previous time-steps if care is taken of the possible ill-conditioning that results. To enhance the stability, filtering has been used. In this paper we show that a relatively...
Article
In the emerging field of multi-physics simulations, we often face the challenge to establish new connections between physical fields, to add additional aspects to existing models, or to exchange a solver for one of the involved physical fields. If in such cases a fast prototyping of a coupled simulation environment is required, a partitioned setup...
Article
Full-text available
Within the last decade, very sophisticated numerical methods for the iterative and partitioned solution of fluid-structure interaction problems have been developed that allow for high accuracy and very complex scenarios. The combination of these two aspects - accuracy and complexity - demands very high computational grid resolutions and, thus, high...
Chapter
We present a coupled simulation approach for fluid–structure–acoustic interactions (FSAI) as an example for strongly surface coupled multi-physics problems. In addition to the multi-physics character, FSAI feature multi-scale properties as a further challenge. In our partitioned approach, the problem is split into spatially separated subdomains int...
Chapter
One of the great prospects of exascale computing is to simulate challenging highly complex multi-physics scenarios with different length and time scales. A modular approach re-using existing software for the single-physics model parts has great advantages regarding flexibility and software development costs. At the same time, it poses challenges in...
Chapter
Full-text available
The partitioned simulation of fluid-structure interactions offers great flexibility in terms of exchanging flow and structure solver and using existing established codes. However, it often suffers from slow convergence and limited parallel scalability. Quasi-Newton or accelerated fixed-point iterations are a very efficient way to solve the converge...
Research
Full-text available
Strongly coupled fluid-structure interaction simulations often suffer from slow convergence, limited parallel scalability or difficulties in using black-box solvers. As partitioned simulations still play an important role in cases where new combinations of models, discretizations and codes have to be tested in an easy and fast way, we propose a com...
Conference Paper
Full-text available
During the last 5 years, quasi-Newton schemes have proven to be a robust and efficient way to couple partitioned fluid-structure interaction. We showed in previous work that they also allow to perform a parallel coupling. Bogaers et al. introduced a new variant based on a multi-vector update [14]. This variant renders a tuning of the reuse of old i...
Conference Paper
Full-text available
Flexible and extensible partitioned multi-physics simulation environments require efficient and modular tools with a broad coupling functionality. preCICE is a library for flexible numerical coupling of single-physics solvers. It uses a partitioned black-box coupling scheme, thus requiring only minimal modifications to existing solvers. Codes curre...
Chapter
To simulate fluid-acoustics interaction, we couple inviscid Euler equations in the near-field, which is relevant for noise generation, to linearized Euler equations in the far-field. This allows us to separate the critical scales and treat each domain with an individual discretization. Both fields are computed by the high-order discontinuous Galerk...
Chapter
Strongly coupled fluid-structure interaction simulations often suffer from slow convergence, limited parallel scalability or difficulties in using black-box solvers. As partitioned simulations still play an important role in cases where new combinations of models, discretizations and codes have to be tested in an easy and fast way, we propose a com...
Article
Full-text available
For multi-field simulations involving a larger number of different physical fields and in cases where the involved fields or simulation codes change due to new modelling insights, e.g., flexible and robust partitioned coupling schemes are an important prerequisite to keep time-to-solution within reasonable limits. They allow for a fast, almost plug...
Conference Paper
Full-text available
Partitioned coupling approaches between a black-box fluid and a black-box structure solver allow a maximum flexibility to choose the right solver for a particular application. This flexibility guarantees a decent time-to-solution when developing simulations for complex multi-physics applications. In this work, we document the coupling of the highly...
Conference Paper
Full-text available
Partitioned coupling approaches are an important tool in order to achieve a decent time-to-solution for multi-physics problems with more than two physical fields or changing combinations of fields. We study different approaches to deduce coupling schemes for partitioned multi-physics scenarios, by means of a simple, but yet challenging fluid-struct...
Conference Paper
Full-text available
The simulation of multi-physics scenarios, in particular fluid-structure interaction has gained more and more importance in the last years due to increasing accuracy requirements for a large range of applications from biomedical fields to technical design problems. At the same time, this type of simulation has become feasible due to the increased c...

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Projects (2)
Project
(For more information, please visit www.precice.org and https://github.com/precice) preCICE is a coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations. preCICE couples existing simulation software in a minimally invasive way and is open-source under the LGPL3 license. We provide ready-to-use adapters for CalculiX, Code_Aster, OpenFOAM, and SU2. Adapters for in-house codes can be written in nearly 30 lines of code.
Project
Solve complex coupled multi-physics problems on supercomputers.