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

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

Chiarella, Mauro ; Gronda, Luciana ; Veizaga, Martín ;

Article:

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

Article:

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

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DOI: 10.5151/proceedings-ecaadesigradi2019_249

Referências bibliográficas
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Como citar:

Chiarella, Mauro; Gronda, Luciana; Veizaga, Martín; "RILAB - architectural envelopes From spatial representation (generative algorithm) to geometric physical optimization (scientific modeling)", p. 17-24 . In: Proceedings of 37 eCAADe and XXIII SIGraDi Joint Conference, “Architecture in the Age of the 4Th Industrial Revolution”, Porto 2019, Sousa, José Pedro; Henriques, Gonçalo Castro; Xavier, João Pedro (eds.). São Paulo: Blucher, 2019.
ISSN 2318-6968, DOI 10.5151/proceedings-ecaadesigradi2019_249

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