In collaboration with Valentina Soana
A self-aware mesh based linear growth algorithm.
Dripstones (Stalagmites and Stalactites) can take on a variety of shapes, dimensions, extension, directions and materials, always based on the ‘food’ condition. Looking at these structures from an architectural point of view, one might recognize the obvious potential of supporting or bridging between to or more instances, which is inherent to these grown structures.
Since concepts such as bridging and supporting are two fundamental fields to architecture and engeneering, we got interested in investigating the potential of computational design processes and methods for the sake of generating a less generic and material intensive and more discrete, performance oriented structural or architectural element.
On a more technical level, this project investigates the relationship between an agent based linear growth logic and the properties of a mesh. In our case, we designed a system that it highly reciprocal. While the simple trail follows its desired goal, its growth gets influenced by the desires of the mesh and the trail informs the growth of the mesh.
ITECH Master Studio | Computational Design Seminar, 2016.17 | Institue for Computational Design and Construction (ICD, Prof. Achim Menges) | Tutors: Ehsan Baharlou, Lauren Vasey, Long Ngyuen