3 papers
cs.LG2021
De-homogenization using Convolutional Neural Networks
Martin O. Elingaard, Niels Aage, J. Andreas Bærentzen +1
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…
cs.CE2020
Large scale three-dimensional manufacturing tolerant stress-constrained topology optimization
Gustavo Assis da Silva, Niels Aage, André Teófilo Beck +1
In topology optimization, the treatment of stress constraints for very large scale problems has so far not been tractable due to the failure of robust agglomeration methods, i.e. t…
cs.CE2019
De-homogenization of optimal multi-scale 3D topologies
Jeroen Groen, Florian Stutz, Niels Aage +2
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 de…