Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Baerentzen, J."'
Inspired by the seminal result that a graph and an associated rotation system uniquely determine the topology of a closed manifold, we propose a combinatorial method for reconstruction of surfaces from points. Our method constructs a spanning tree an
Externí odkaz:
http://arxiv.org/abs/2402.01893
This paper presents an alternative approach to dehomogenisation of elastic Rank-N laminate structures based on the computer graphics discipline of phasor noise. The proposed methodology offers an improvement of existing methods, where high-quality si
Externí odkaz:
http://arxiv.org/abs/2310.04881
Autor:
Jensen, Peter Dørffler Ladegaard, Olsen, Tim Felle, Bærentzen, J. Andreas, Aage, Niels, Sigmund, Ole
Inverse design of high-resolution and fine-detailed 3D lightweight mechanical structures is notoriously expensive due to the need for vast computational resources and the use of very fine-scaled complex meshes. Furthermore, in designing for additive
Externí odkaz:
http://arxiv.org/abs/2307.09518
In this paper we give a new, efficient algorithm for computing curve skeletons, based on local separators. Our efficiency stems from a multilevel approach, where we solve small problems across levels of detail and combine these in order to quickly ob
Externí odkaz:
http://arxiv.org/abs/2303.07210
Publikováno v:
Struct Multidisc Optim 65, 294 (2022)
The question of how methods from the field of artificial intelligence can help improve the conventional frameworks for topology optimisation has received increasing attention over the last few years. Motivated by the capabilities of neural networks i
Externí odkaz:
http://arxiv.org/abs/2208.02563
This paper presents a deep learning-based de-homogenization method for structural compliance minimization. By using a convolutional neural network to parameterize the mapping from a set of lamination parameters on a coarse mesh to a one-scale design
Externí odkaz:
http://arxiv.org/abs/2105.04232
Autor:
Jensen, Peter Dørffler Ladegaard, Olsen, Tim Felle, Bærentzen, J. Andreas, Aage, Niels, Sigmund, Ole
Publikováno v:
In Thin-Walled Structures February 2024 195
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 5 January 2024 418 Part B
Autor:
Koo, Jakeoung, Dahl, Anders B., Bærentzen, J. Andreas, Chen, Qiongyang, Bals, Sara, Dahl, Vedrana A.
In computed tomography, the reconstruction is typically obtained on a voxel grid. In this work, however, we propose a mesh-based reconstruction method. For tomographic problems, 3D meshes have mostly been studied to simulate data acquisition, but not
Externí odkaz:
http://arxiv.org/abs/2006.16120
This paper presents a highly efficient method to obtain high-resolution, near-optimal 3D topologies optimized for minimum compliance on a standard PC. Using an implicit geometry description we derive a single-scale interpretation of optimal multi-sca
Externí odkaz:
http://arxiv.org/abs/1910.13002