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Title: Integrating parametric modeling with BIM through generative programming for the production of NURBS surfaces and structures
Authors: Silva, Lilian Maciel Furtado
Silva, Neander Furtado
Lacroix, Igor
metadata.dc.contributor.affiliation: 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
Issue Date: Apr-2019
Publisher: Victoria University of Wellington
Citation: SILVA, Llian; SILVA, Neander; LACROIX, Igor. Integrating Parametric Modeling with BIM through Generative Programming for the production of NURBS Surfaces and Structures. In: HAEUSLER, M.; SCHNABEL, M. A.; FUKUDA, T. INTELLIGENT & INFORMED - CAADRIA CONFERENCE, 24., 2019, Wellignton. Proceedings [...]. Wellington, New Zealand: Victoria University of Wellington, 2019. v. 1, p. 635-644. DOI: https://doi.org/10.52842/conf.caadria.2019.1.635. Disponível em: https://papers.cumincad.org/cgi-bin/works/paper/caadria2019_103
Abstract: A workflow for integration of parametric modeling with BIM, using generative-programming, is described and tested in this research. The objective is to take advantage of these two distinctive design paradigms. This paper describes a design experiment that required a NURBS roof generated by sweeping profiles along a curved path. 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, we propose and test a design workflow using parametric modeling, generative programming, and building information modeling. Our major contribution was defining a workflow for designing NURBS surfaces and corresponding supporting structures enhancing interoperability among different applications through generative-programming.
metadata.dc.description.unidade: Faculdade de Arquitetura e Urbanismo (FAU)
metadata.dc.description.ppg: Programa de Pós-Graduação em Arquitetura e Urbanismo
DOI: https://doi.org/10.52842/conf.caadria.2019.1.635
metadata.dc.relation.publisherversion: https://papers.cumincad.org/cgi-bin/works/paper/caadria2019_103
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