Corpus ID: 52811139

Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics

@article{Fuhrimann2018DataDrivenDE,
  title={Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics},
  author={Lukas Fuhrimann and V. Moosavi and Patrick Ole Ohlbrock and P. Dacunto},
  journal={ArXiv},
  year={2018},
  volume={abs/1809.08660}
}

Lukas Fuhrimann, V. Moosavi, +1 author P. Dacunto

Published 2018

Computer Science, Mathematics

ArXiv

The aim of this research is to introduce a novel structural design process that allows architects and engineers to extend their typical design space horizon and thereby promoting the idea of creativity in structural design. The theoretical base of this work builds on the combination of structural form-finding and state-of-the-art machine learning algorithms. In the first step of the process, Combinatorial Equilibrium Modelling (CEM) is used to generate a large variety of spatial networks in… CONTINUE READING

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