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Parametric semiology – surface active tesselation 002

Project Design: Daniel Bolojan, Bogdan Zaha, Robert Loffler
Studio Directors: Prof. Zaha Hadid, Patrik Schumacher, Hannes Traupman, Jens Mehlan, Robert R. Neumayr, Mario Gasser, Christian Kronaus, Mascha Veech

The project’s main focus is to solve the articulations between a variety of spaces by transitions trough structural tectonic static morphing. We are trying by this, to exploit the advantages of a tensioned structure in producing optimized force flows in its geometry and permitting to achieve a great sense of dynamism.

The transformations are based on a series of transitions between tensile structures trough principles of decomposition and re-composition by the tensegrity concept, superimposition, and juxtapositions. The primary operations undertaken here in this project are based on surface-active deformations. This enabled us to reach a state of high dynamism in shape and composition. The articulation between multiple levels of tectonic superimposition is facilitated by this process. At the same time a better communication within the architectural overall language is obtained. This system is also offering a high degree of coherent tessellation, which in accordance with the architectural logic enhances the overall quality of the space, permitting a coherent reading of the space also by the use of perforation or pattern information inscribed within the surface.

The different tectonic properties are necessary to obtain a higher degree of atmospheric values and manifold semiotic information.

bolojan daniel sat1bolojan daniel sat2

48.23132616.329081
DATE Mar 2013 CATEGORY Uncategorized
nonstandardstudio - deep learning, creative ai, generative algorithms, genetic algorithms, parametric design, advanced computational design, architectureDEEP LEARNING Research augmented creativity design space explorer 3d domain translations Computer vision generative adversarial networks neural networks MACHINE LEARNING dimensionality reduction ADVANCED Computational Design genetic algorithms generative algorithms AGENT BASED SYSTEMS multi-agent systems structural encoded agents
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nonstandardstudio - deep learning, creative ai, generative algorithms, genetic algorithms, parametric design, advanced computational design, architecture
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