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Dive into the research topics where Daniel Baumgärtner is active.

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Featured researches published by Daniel Baumgärtner.


Advanced Modeling and Simulation in Engineering Sciences | 2018

A robust algorithm for implicit description of immersed geometries within a background mesh

Daniel Baumgärtner; Johannes Wolf; Riccardo Rossi; Pooyan Dadvand; R. Wüchner

The paper presents a robust algorithm, which allows to implicitly describe and track immersed geometries within a background mesh. The background mesh is assumed to be unstructured and discretized by tetrahedrons. The contained geometry is assumed to be given as triangulated surface. Within the background mesh, the immersed geometry is described implicitly using a discontinuous distance function based on a level-set approach. This distance function allows to consider both, “double-sided” geometries like membrane or shell structures, and “single-sided” objects for which an enclosed volume is univocally defined. For the second case, the discontinuous distance function is complemented by a continuous signed distance function, whereas ray casting is applied to identify the closed volume regions. Furthermore, adaptive mesh refinement is employed to provide the necessary resolution of the background mesh. The proposed algorithm can handle arbitrarily complicated geometries, possibly containing modeling errors (i.e., gaps, overlaps or a non-unique orientation of surface normals). Another important advantage of the algorithm is the embarrassingly parallel nature of its operations. This characteristic allows for a straightforward parallelization using MPI. All developments were implemented within the open source framework “KratosMultiphysics” and are available under the BSD license. The capabilities of the implementation are demonstrated with various application examples involving practice-oriented geometries. The results finally show, that the algorithm is able to describe most complicated geometries within a background mesh, whereas the approximation quality may be directly controlled by mesh refinement.


Archive | 2015

Contribution to the Fluid-Structure Interaction Analysis of Ultra-Lightweight Structures using an Embedded Approach

Daniel Baumgärtner; Johannes Wolf; Riccardo Rossi; R. Wüchner; Pooyan Dadvand

Designing large ultra-lightweight structures within a fluid flow, such as inflatable hangars in an atmospheric environment, requires an analysis of the naturally occurring fluid-structure interaction (FSI). To this end multidisciplinary simulation techniques may be used. The latter, though, have to be capable of dealing with complex shapes and large deformations as well as challenging phenomena like wrinkling or folding of the structure. To overcome such problems the method of embedded domains may be used. In this work we discuss a new solution procedure for FSI analyses based on the method of embedded domains. In doing so, we are in particular answering the questions: How to track the interface in the embedded approach, how does the subsequent solution procedure look like and how does both compare to the well-known Arbitrary-Lagrangian-Eulerian (ALE) approach? In this context a level set technique as well as different mapping and mesh-updating strategies are developed and evaluated. Furthermore the solution procedure of a completely embedded FSI analysis is established and tested using different small- and large-scale examples. All results are finally compared to results from an ALE approach. It is shown that the embedded approach offers a powerful and robust alternative in terms of the FSI analysis of ultra-lightweight structures with complex shapes and large deformations. With regard to the solution accuracy, however, clear restrictions are elaborated.


16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference | 2015

Towards shape optimization of steady-state fluid-structure interaction problems using vertex morphing

Reza Najian Asl; Daniel Baumgärtner; K.-U. Bletzinger


35th AIAA Applied Aerodynamics Conference | 2017

Aerodynamic Shape Optimization Progress on ADODG Benchmark Problems Using the elsA Software

Antoine Dumont; Michaël Méheut; Daniel Baumgärtner; K.-U. Bletzinger


12th World Congress of Structural and Multidisciplinary Optimisation | 2017

Assessment of filter properties and the numerical treatment in context of Vertex Morphing

A Geiser; Daniel Baumgärtner; R. Wüchner; Bletzinger K.-U.


11th European LS-DYNA Conference 2017 | 2017

Free-Form Shape Optimization using CAD Models

Daniel Baumgärtner; M Breitenberger; Bletzinger K.-U.


17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference | 2016

Comparison and combination of experience-based parametrization with Vertex Morphing in aerodynamic shape optimization of a forward-swept wing aircraft.

Daniel Baumgärtner; Andrea Viti; Antoine Dumont; Gérald Carrier; K.-U. Bletzinger


11th ASMO UK / ISSMO / NOED2016 International Conference on Numerical Optimisation Methods for Engineering Design | 2016

Node-based shape optimization in aircraft preliminary design

Daniel Baumgärtner; K.-U. Bletzinger; Andrea Viti; Antoine Dumont


11th ASMO UK / ISSMO / NOED2016 International Conference on Numerical Optimisation Methods for Engineering Design | 2016

Multidisciplinary Design Optimisation Research Contributions from the AMEDEO Marie Curie Initial Training Network

Mohammed Aissa; Christopher Chahine; Anna Arsenyeva; Daniel Baumgärtner; K.-U. Bletzinger; F. Duddeck; Ipek Basdogan; Gokhan Serhat; Dmitri Bettebghor; Marco T. Bordogna; Gérald Carrier; P.M.G.J. Lancelot; Andrea Viti; Roeland De Breuker; Kristofer Jovanov; Stefano Caloni; Gary A. Clayton; Shahrokh Shahpar; Sam Duckitt; Teun Weustink; Rob Hewson; Jonathan Ollar; Tim Surry; Julien Pohl; H.M. Thompson; Ralf Schlaps; Tom Verstraete; Vassili V. Toropov


The Nordic Seminar on Computational Mechanics | 2015

Potential and difficulties of node-based shape optimization taking into account fluid-structure interaction

Daniel Baumgärtner; R. Najian Asl; K.-U. Bletzinger

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Andrea Viti

Imperial College London

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Pooyan Dadvand

Polytechnic University of Catalonia

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Riccardo Rossi

Polytechnic University of Catalonia

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Jonathan Ollar

Queen Mary University of London

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Rob Hewson

Imperial College London

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Vassili V. Toropov

Queen Mary University of London

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