Can we automate a space that hovers between the states of being exposed and enclosed?
The generative model produces a space that mediates between
degrees of openness and enclosure. It consists of solid volumes
and open space through a support structure. A static set of points
generates the basic structure, while a dynamic input cycles through
various configurations of solids and voids within this structure. The
model is optimized to minimize obstructions through a manually
generated path, which is the final input parameter.
The tension between generating this continuous structure and carving
out a section presented some challenges. One tradeoff was that the
use of a static frame, while limiting to the model’s possible forms,
inhibited variance. A design solution that sufficiently integrated
complexity and continuity was found through a series of tests using
different parameter values and experimenting in multiple generations
of the model.
The optimized design features an approximated, rather than a full
convergence of performance metrics - yet, it is a representation of the
design goals and the evolution of their outcomes.
Spring 2019. Generative Design. Professor: Danil Nagy.