Computational Design Laboratory

Computational Design of Cold Bent Glass Façades

teaser
Material-aware form finding of a cold bent glass façade. From left to right: initial and revised panel layouts from an interactive design session with immediate feedback on the glass shape and maximum stress (red color indicates panel failure). The surface design is then optimized for stress reduction and smoothness. The final façade realization using cold bent glass features doubly curved areas and smooth reflections.
Konstantinos Gavriil1 Ruslan Guseinov2 Jesús Pérez3 Davide Pellis1 Paul Henderson2 Florian Rist4 Helmut Pottmann4,1 Bernd Bickel2
1TU Wien 2IST Austria 3URJC 4KAUST

K. Gavriil and R. Guseinov are joint first authors.

ACM Transactions on Graphics 39(6) (SIGGRAPH Asia 2020)

Abstract

Cold bent glass is a promising and cost-efficient method for realizing doubly curved glass façades. They are produced by attaching planar glass sheets to curved frames and must keep the occurring stress within safe limits. However, it is very challenging to navigate the design space of cold bent glass panels because of the fragility of the material, which impedes the form finding for practically feasible and aesthetically pleasing cold bent glass façades. We propose an interactive, data-driven approach for designing cold bent glass façades that can be seamlessly integrated into a typical architectural design pipeline. Our method allows non-expert users to interactively edit a parametric surface while providing real-time feedback on the deformed shape and maximum stress of cold bent glass panels. The designs are automatically refined to minimize several fairness criteria, while maximal stresses are kept within glass limits. We achieve interactive frame rates by using a differentiable Mixture Density Network trained from more than a million simulations. Given a curved boundary, our regression model is capable of handling multistable configurations and accurately predicting the equilibrium shape of the panel and its corresponding maximal stress. We show that the predictions are highly accurate and validate our results with a physical realization of a cold bent glass surface.

Supplementary video

Presentation video

Citation

@article{Gavriil2020,
author = {Gavriil, Konstantinos and Guseinov, Ruslan and P{\'e}rez, Jes{\'u}s and Pellis, Davide and Henderson, Paul and Rist, Florian and Pottmann, Helmut and Bickel, Bernd},
title = {Computational Design of Cold Bent Glass Fa{\c c}ades},
journal = {ACM Transactions on Graphics (SIGGRAPH Asia 2020)},
year = {2020},
month = {12},
volume = {39},
number = {6}
articleno = {208},
numpages = {16}
}

Acknowledgements

We thank IST Austria’s Scientific Computing team for their support, Corinna Datsiou and Sophie Pennetier for their expert input on thepractical applications of cold bent glass, and Zaha Hadid Architects and Waagner Biro for providing the architectural datasets. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agree-ment No 675789 - Algebraic Representations in Computer-Aided Design for complEx Shapes (ARCADES), from the European Research Council (ERC) under grant agreement No 715767 - MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling, and SFB-Transregio “Discretization in Geometry and Dynamics” through grant I 2978 of the Austrian Science Fund (FWF). F. Rist and K. Gavriil have been partially supported by KAUST baseline funding.

EU ERC