MATSYS

Voronoi Morphologies

Prototype testing algorithm

Prototype testing algorithm

Prototype detail

Prototype detail

2.5D surface voronoi drawings

2.5D surface voronoi drawings

2.5D surface voronoi FDM model

2.5D surface voronoi FDM model

2.5D surface voronoi FDM model

2.5D surface voronoi FDM model

3D voronoi drawings

3D voronoi drawings

3D paper prototype

3D paper prototype

3D paper prototype detail

3D paper prototype detail

Plaster prototype

Plaster prototype

Plaster prototype

Plaster prototype

Year: 2005-2006
Location: Columbus, Ohio
Description: Voronoi Morphologies is the latest development in an ongoing area of research into cellular aggregate structures. The voronoi algorithm is used in a wide range of fields including satellite navigation, animal habitat mapping, and urban planning as it can easily adapt to local contingent conditions. Within our research, it is used as a tool to facilitate the translation and materialization of data from particle-simulations and other point-based data into volumetric form. Through this process, it becomes much easier to produce highly differentiated structures that are responsive to local performance criteria.

The project was developed though both 2D and 3D voronoi cellular structures. In both cases, a field of points is used to determine regions of space, or cells, that are closer to a certain point than any other point. As the cells are not constrained by a fixed geometric topology, the cells properties can be tuned in much more specific ways than a tradition rectangular or hexagonal cell arrangement. A custom-designed script was written to connect Rhino with Qhull which did the actual voronoi calculations. The script also digitally unfolds, labels, and prepares the geometry for CNC fabrication.

This technique was developed in collaboration with Jelle Feringa of EZCT Architecture and Design Research in Paris.

For more information about computing convex hulls, voronoi diagrams, and other triangulations, check out the qhull website. Qhull is used in Matlab and many other computational geometry applications.

One Response to “Voronoi Morphologies”

  1. […] Year: 2008 Projects Featured: Voronoi Morphologies […]