RILAB-architectural envelopes From spatial representation (generative algorithm) to geometric physical optimization (scientific modeling)

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Abstract

Augmented graphical thinking operates by integrating algorithmic, heuristic, and manufacturing processes. The Representation and Ideation Laboratory (RILAB-2018) exercise begins with the application of a parametric definition developed by the team of teachers, allowing for the construction of structural systems by the means of the combination of segmental shells and bending-active. The main objetive is the construction of a scientific model of simulation for bending-active laminar structures has brought into reality trustworthy previews for architectural envelopes through the interaction of parametrized relational variables. This way we put designers in a strategic role for the building of the pre-analysis models, allowing more preciseness at the time of picking and defining materials, shapes, spaces and technologies and thus minimizing the decisions based solely in the definition of structural typological categories, local tradition or direct experience. The results verify that the strategic integration of models of geometric physical optimization and spatial representation greatly expand the capabilities in the construction of the complex system that operates in the act of projecting architecture.

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APA

Chiarella, M., Gronda, L., & Veizaga, M. (2019). RILAB-architectural envelopes From spatial representation (generative algorithm) to geometric physical optimization (scientific modeling). In Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe (Vol. 3, pp. 17–24). Education and research in Computer Aided Architectural Design in Europe. https://doi.org/10.5151/proceedings-ecaadesigradi2019_249

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