The Generative pre-design process of tall buildings: tools and methodology

tools and methodology

Authors

DOI:

https://doi.org/10.46421/encac.v17i1.4109

Keywords:

parametric design, generative modeling, tall buildings

Abstract

Generative architecture develops in organic shapes that go beyond Euclidean geometry, seeking innovative, authentic, and parametric shapes. Digital design presents as a fundamental tool for conceiving new complex forms. Computing represents a significant milestone in expanding creative possibilities, enabling the creation of shapes that were previously unimaginable using traditional methodology. As a result, parametric modeling has emerged as one of the main tools in the design process of tall buildings, assisting in the exploration of different geometric configurations and controlling dimensions and proportions through parameters. However, parametric design is not limited solely to the formal conception of buildings. Its functionality extends to computational simulations, making it possible to assess results regarding energy efficiency. Therefore, the aim of this scientific initiation research is to understand the use of parametric language through Rhinoceros 3D software and its Grasshopper plugin. The acquired knowledge will then be applied in creating parametric three-dimensional forms that encompass various areas of architecture.This paper is structured in three steps: bibliographic review, training in parametric software and application in oriented exercises of tall building design. With this, it can be concluded that a parametric thinking is not limited to the number of parameters, but to the understanding of the stages of construction of the algorithm. In addition, it is important to state that digital technologies should not replace the physical relationship that happens with traditional drawing tools, limiting the creative potential, and that mastering the tool means reaching new possibilities, without giving up one's own authorship.

Author Biographies

Amane Lopes Bento Xavier, Universidade de Brasília

Studying Architecture and Urbanism at the University of Brasília (Brasília, DF, Brazil).

Érica Mitie Umakoshi Kuniochi, University of Brasilia

Ph.D. in Architecture and Urbanism from the University of São Paulo. Tenured Professor at the University of Brasília (Brasília, DF, Brazil).

Felipe Leal Caselato, University of Brasilia

Studying Architecture and Urbanism at the University of Brasília (Brasília, DF, Brazil).

References

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UMAKOSHI, E. M.; GONÇALVES, J. C. S. Avaliação de desempenho ambiental e arquitetura paramétrica generativa para o projeto do edifício alto. [s. l.], 2014. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&AuthType=ip,shib&db=edsbas&AN=eds bas.DEB565E9&lang=pt-br&site=eds-live. Acesso em: 15 de maio de 2021.

Published

26/10/2023

How to Cite

XAVIER, A. L. B.; MITIE UMAKOSHI KUNIOCHI, Érica; LEAL CASELATO, F. The Generative pre-design process of tall buildings: tools and methodology: tools and methodology. In: ENCONTRO NACIONAL DE CONFORTO NO AMBIENTE CONSTRUÍDO, 17., 2023. Anais [...]. [S. l.], 2023. DOI: 10.46421/encac.v17i1.4109. Disponível em: https://eventos.antac.org.br/index.php/encac/article/view/4109. Acesso em: 18 may. 2024.

Issue

Section

5. Eficiência Energética