Plug-In for: Structural Engineering, Physics, Modeling, Mechanical Design, Mathematics, Architecture Rhino 5.0
Funicular Form Finding
The Rhinoceros® Plug-In RhinoVAULT emerged from current research on structural form finding using the Thrust-Network-Approach to intuitively create and explore compression-only structures. Using reciprocal diagrams, it provides an intuitive, fast method, adopting the same advantages of techniques such as Graphic Statics, but offering a viable extension to fully three-dimensional problems.
Our goal is to share key aspects of our research in a comprehensible and transparent setup to let one not only create beautiful shapes but also to give the user an understanding of the underlying structural principles. By now the plugin was downloaded by more than 10.000 people (via BRG website) and in 2014 RhinoVAULT was awarded in the category 'Structure / Physics Formation' at ALGODeQ, an international competition for algorithmic design programs. We are happy that the tool could be of use for students and professionals around the world to realize some amazing projects. Knowing about you work is very helpful for the development of the software and in general amazingly motivating. So, please get in touch if you have exciting projects, made with RhinoVAULT, you want to share or if you are interested in collaborative work and workshops (email@example.com).
The development of RhinoVAULT is currently supported by the BLOCK Research Group at ETH Zurich. It is shared freely in the hope that you will enjoy it and use it for original and creative work. It can be freely shared and used for academic and commercial purposes, but with proper attribution. Please refer to our papers:
Rippmann, M., Lachauer, L. and Block, P. Interactive Vault Design, International Journal of Space Structures 27 (4): 219-230, 2012
Rippmann, M. and Block, P. Funicular Shell Design Exploration, Proceedings of the 33rd Annual Conference of the ACADIA Waterloo/Buffalo/Nottingham, Canada 2013
Happy Form Finding!
Support Email: UQ.JUKY.UQLS@33S4DDGL@
Homepage: BLOCK Research ETH Zurich