http://repositorio2.unb.br/jspui/handle/10482/46185
Título: | Interoperability workflow method for designing NURBS surfaces and structures with generative programming |
Autor(es): | Silva, Lilian Maciel Furtado Silva, Neander Furtado Lacroix, Igor |
Afiliação do autor: | Universidade de Brasília, Faculdade de Arquitetura e Urbanismo Universidade de Brasília, Faculdade de Arquitetura e Urbanismo Centro Universitário de Brasília, Faculdade de Tecnologia e Ciências Sociais Aplicados |
Assunto: | NURBS Programação paramétrica Interroperabilidade BIM |
Data de publicação: | 2019 |
Editora: | CAAD Futures |
Referência: | SILVA, Lilian; SILVA, Neander; LACROIX, IGOR. Interoperability workflow method for designing NURBS surfaces and structures with generative programming. In: INTERNATIONAL CONFERENCE, 18., CAAD Futures 2019, 2019, Daejeon. Proceedings [...]. Daejeon, Korea:CAAD Futures, 2019. p. 166-178. Disponível em: https://papers.cumincad.org/cgi-bin/works/paper/cf2019_011. |
Abstract: | The workflow for integration of parametric modeling with BIM is using generative-programming described and tested in this research. The workflow aims to take advantage of these two distinctive design paradigms. This paper describes a design experiment that called for a NURBS roof generated by sweeping profiles along a curved path. Computer applications in the field of architecture are often based on a diverse range of design paradigms. We assumed the use of multiple applications, using various file formats, are facts and are unlikely to disappear. Given that interoperability issues will certainly arise, in this article, we propose and test a design workflow using parametric modeling, generative programming, and building information modeling. Our objective is to test the efficiency and improve upon the compatibility between Parametric-Algorithmic-Design and BIM applications. Our major contribution was defining a workflow for designing NURBS surfaces and corresponding supporting structures enhancing interoperability among different applications through generative-programming. |
Unidade Acadêmica: | Faculdade de Arquitetura e Urbanismo (FAU) |
Programa de pós-graduação: | Programa de Pós-Graduação em Arquitetura e Urbanismo |
Versão da editora: | https://papers.cumincad.org/cgi-bin/works/paper/cf2019_011 |
Aparece nas coleções: | Trabalhos apresentados em evento |
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