Can the essence of the computer generated image of a Swiss cabin be translated on site? How do colors and textures materialize in a realistic building proposal?
Big data is a field that offers ways to analyse, systematically extract information from, or otherwise deal with data sets that are too large or complex to be analysed in a traditional form.
Translating from 2d to 3d, an interpretation of the image is made as a continuous façade, because of the flatness of the pattern generated by the GAN, where various projection methods are deployed to create a gradient of openings, deformations and curved surfaces.
The fortress is a building of thickened walls composed of various facades, not easily identifiable. Edges are curvy and all joints are subtle. It is caracterised by it’s chosen closeness and opaqueness towards the exterior as a fortress, with a facade made of a heavy stone pattern that works as a continuous surface. The openings are unique elements, in chosen places. They are not random nor repetitive, and even though some of them are big, they still show a will of closure towards some aspects of the exterior. The rest of the façade are deformed prefabricated elements that create a gradient texture, that only lets indirect light come in and ventilation.
The building works as a continue closed surface, making emphasis on chosen openings that could work as entrance, as receptions, as marked frames in the landspace, or only as light entrances in the roof. The skin peals off to create different situations: drone entrance, openings or skylights.
These “renewed” swiss elements are placed under a traditional swiss gable roof with a smokestack, that gives scale to the general volume and works as the iconic part of the building.
Swissness is interpreted in a new way, not only taking Swiss formal elements but also constructive processes and energy strategies, and as a consequence, Swissness is “formally updated” and integrated with 21st century needs and technologies.
Keywords: GAN, Artificial Design, Swissness, Housing
Master project student: Clara de Lapuerta
Studio tutors: Christina Doumpioti, Christoph Holz, Mikhael Johanes, Frederick Kim, Gianna Ledermann
Professor: Jeffrey Huang
Image credits: Clara de Lapuerta, MxD