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Dive into the research topics where Asger Nyman Christiansen is active.

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Featured researches published by Asger Nyman Christiansen.


Computers & Graphics | 2015

Combined shape and topology optimization of 3D structures

Asger Nyman Christiansen; J. Andreas Bærentzen; Morten Nobel-Jørgensen; Niels Aage; Ole Sigmund

We present a method for automatic generation of 3D models based on shape and topology optimization. The optimization procedure, or model generation process, is initialized by a set of boundary conditions, an objective function, constraints and an initial structure. Using this input, the method will automatically deform and change the topology of the initial structure such that the objective function is optimized subject to the specified constraints and boundary conditions. For example, this tool can be used to improve the stiffness of a structure before printing, reduce the amount of material needed to construct a bridge, or to design functional chairs, tables, etc. which at the same time are visually pleasing.The structure is represented explicitly by a simplicial complex and deformed by moving surface vertices and relabeling tetrahedra. To ensure a well-formed tetrahedral mesh during these deformations, the Deformable Simplicial Complex method is used. The deformations are based on optimizing the objective, which in this paper will be maximizing stiffness. Furthermore, the optimization procedure will be subject to constraints such as a limit on the amount of material and the difference from the original shape. Graphical abstractDisplay Omitted HighlightsAutomatic design of 3D structures given a set of requirements for that structure.Efficient shape and topology optimization utilizing an adaptive tetrahedral mesh.Explicit shape representation made possible by the Deformable Simplicial Complex method.


spring conference on computer graphics | 2013

Generic graph grammar : a simple grammar for generic procedural modelling

Asger Nyman Christiansen; Jakob Andreas Bærentzen

Methods for procedural modelling tend to be designed either for organic objects, which are described well by skeletal structures, or for man-made objects, which are described well by surface primitives. Procedural methods, which allow for modelling of both kinds of objects, are few and usually of greater complexity. Consequently, there is a need for a simple, general method which is capable of generating both types of objects. Generic Graph Grammar has been developed to address this need. The production rules consist of a small set of basic productions which are applied directly onto primitives in a directed cyclic graph. Furthermore, the basic productions are chosen such that Generic Graph Grammar seamlessly combines the capabilities of L-systems to imitate biological growth (to model trees, animals, etc.) and those of split grammars to design structured objects (chairs, houses, etc.). This results in a highly expressive grammar capable of generating a wide range of types of models. Models which consist of skeletal structures or surfaces or any combination of these. Besides generic modelling capabilities, the focus has also been on usability, especially user-friendliness and efficiency. Therefore several steps have been taken to simplify the workflow as well as to make the modelling scheme interactive. As proof of concept, a generic procedural modelling tool based on Generic Graph Grammar has been developed.


Structural and Multidisciplinary Optimization | 2014

Topology optimization using an explicit interface representation

Asger Nyman Christiansen; Morten Nobel-Jørgensen; Niels Aage; Ole Sigmund; Jakob Andreas Bærentzen


Computer-aided Design | 2015

Automatic balancing of 3D models

Asger Nyman Christiansen; Ryan Schmidt; J. Andreas Bærentzen


Structural and Multidisciplinary Optimization | 2015

3D interactive topology optimization on hand-held devices

Morten Nobel-Jørgensen; Niels Aage; Asger Nyman Christiansen; Takeo Igarashi; J. Andreas Bærentzen; Ole Sigmund


Structural and Multidisciplinary Optimization | 2017

Combined shape and topology optimization for minimization of maximal von Mises stress

Haojie Lian; Asger Nyman Christiansen; Daniel A. Tortorelli; Ole Sigmund; Niels Aage


Journal of Spectral Imaging | 2012

Monitoring the change in colour of meat: A comparison of traditional and kernel-based orthogonal transformations

Asger Nyman Christiansen; Jens Michael Carstensen; Flemming Møller; Allan Aasbjerg Nielsen


Archive | 2015

Combined Shape and Topology Optimization

Asger Nyman Christiansen; Jakob Andreas Bærentzen; Ole Sigmund


10th World Congress on Structural and Multidisciplinary Optimization | 2013

Improving Topology Optimization using Games

Morten Nobel-Jørgensen; Asger Nyman Christiansen; J. Andreas Bærentzen; Niels Aage; Ole Sigmund


Visionday : Industrial | 2011

Kernel based pattern analysis methods using eigen-decompositions for reading Icelandic sagas

Asger Nyman Christiansen; Jens Michael Carstensen

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Ole Sigmund

Technical University of Denmark

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Niels Aage

Technical University of Denmark

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J. Andreas Bærentzen

Technical University of Denmark

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Morten Nobel-Jørgensen

Technical University of Denmark

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Jakob Andreas Bærentzen

Technical University of Denmark

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Jens Michael Carstensen

Technical University of Denmark

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Allan Aasbjerg Nielsen

Technical University of Denmark

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Haojie Lian

Technical University of Denmark

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