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    Computational Design of Cold Bent Glass Façades

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    Type
    Article
    Authors
    Gavriil, Konstantinos
    Guseinov, Ruslan cc
    PÉREZ, JESÚS
    PELLIS, DAVIDE
    Henderson, Paul cc
    Rist, Florian
    Pottmann, Helmut cc
    Bickel, Bernd cc
    KAUST Department
    Applied Mathematics and Computational Science Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Visual Computing Center (VCC)
    Date
    2020-11-27
    Preprint Posting Date
    2020-09-08
    Online Publication Date
    2020-11-27
    Print Publication Date
    2020-11-26
    Permanent link to this record
    http://hdl.handle.net/10754/665638
    
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    Abstract
    Cold bent glass is a promising and cost-efficient method for realizing doubly curved glass facades. They are produced by attaching planar glass sheets to curved frames and require keeping the occurring stress within safe limits. However, it is very challenging to navigate the design space of cold bent glass panels due to the fragility of the material, which impedes the form-finding for practically feasible and aesthetically pleasing cold bent glass facades. We propose an interactive, data-driven approach for designing cold bent glass facades 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. 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 predictions are highly accurate and validate our results with a physical realization of a cold bent glass surface.
    Citation
    Konstantinos Gavriil, Ruslan Guseinov, Jesús Pérez, Davide Pellis, Paul Henderson, Florian Rist, Helmut Pottmann, and Bernd Bickel. 2020. Computational Design of Cold Bent Glass Façades. ACM Trans. Graph. 39, 6, Article 208 (December 2020), 16 pages. https://doi.org/10.1145/3414685.3417843
    Sponsors
    We thank IST Austria’s Scientific Computing team for their support, Corinna Datsiou and Sophie Pennetier for their expert input on the practical applications of cold bent glass, and Zaha Hadid Architects and Waagner Biro for providing the architectural datasets. Photo of Fondation Louis Vuitton by Francisco Anzola / CC BY 2.0 / cropped. Photo of Opus by Danica O. Kus. This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement 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.
    Publisher
    ACM
    Journal
    ACM Transactions on Graphics
    DOI
    10.1145/3414685.3417843
    arXiv
    2009.03667
    ae974a485f413a2113503eed53cd6c53
    10.1145/3414685.3417843
    Scopus Count
    Collections
    Articles; Applied Mathematics and Computational Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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