Algoritmización del diseño arquitectónico en BIM: una aplicación en la industria del baño prefabricado
DOI:
https://doi.org/10.11606/gtp.v16i2.181038Palabras clave:
La planificación del espacio, automatizaciónResumen
Los beneficios del modelado de información de construcción y los algoritmos en el diseño arquitectónico ya se conocen y se publicitan ampliamente en la literatura. Sin embargo, la consolidación de un flujo de trabajo del día a día en las oficinas que integran estos dos campos de conocimiento aún no está totalmente consolidado, incluso en países con un mayor grado de industrialización. Este artículo tiene como objetivo describir un procedimiento que integra estas dos tecnologías en el diseño arquitectónico, en una aplicación orientada a la prefabricación. La industria del baño prefabricado, específicamente, se utilizó como un caso de estudio de aplicación. Con este fin, se adoptó una metodología de desarrollo de software exploratorio e incremental en un enfoque basado en reglas para la generación automatizada de diseños de baños prefabricados. Los resultados demuestran que la definición de reglas mediante algoritmos permite evitar trabajos repetitivos e innecesarios, así como mitigar errores de montaje. De esta forma, se abren nuevos horizontes para la actuación de arquitectos más cercanos a la fabricación, orientados a la optimización de procesos y reducción de costes desde las etapas iniciales de diseño.
Descargas
Referencias
ABANDA, F. H.; TAH, J. H. M.; CHEUNG, F. K. T. BIM in off-site manufacturing for buildings. Journal of Building Engineering, v. 14, p. 89–102, 2017. https://doi.org/10.1016/j.jobe.2017.10.002
ABDELMOHSEN, S. et al. A Heuristic Approach for the Automated Generation of Furniture Layout Schemes in Residential Spaces. In: Design Computing And Cognition Dcc’16, 2016, Chicago. Anais. Charlotte: Springer, 2016, pp. 483-502. Disponível em: < <https://www.researchgate.net/publication/297032365_A_Heuristic_Approach_for_the_Automated_Generation_of_Furniture_Layout_Schemes_in_Residential_Spaces> Acesso em: 08 ago. 2020.
ALPAYDIN, E. Machine Learning – The New AI. Cambridge: MIT Press, 2016. 172 p.
ANDERSON, C. et al. Augmented space planning: Using procedural generation to automate desk layouts. International Journal of Architectural Computing, v. 16, p. 164–177, 2018. Disponível em: <https://journals.sagepub.com/doi/full/10.1177/1478077118778586>. Acesso em 08 ago. 2020. https://doi.org/10.1177/1478077118778586
ARVIN, S. A.; HOUSE, H. Modeling architectural design objectives in physically based space planning. Automation in Construction, v. 11, n. 2, p. 213–225, 2002. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S0926580500000996>. Acesso em: 08 ago. 2020. https://doi.org/10.1016/S0926-5805(00)00099-6
AS, I.; PAL, S.; BASU, P. Artificial intelligence in architecture: Generating conceptual design via deep learning. International Journal of Architectural Computing, v. 16, n. 4, p. 306–327, 2018. Disponível em: <http://journals.sagepub.com/doi/10.1177/1478077118800982>. Acesso em: 08 ago. 2020.
BIANCONI, Fabio; FILIPPUCCI, Marco; BUFFI, Alessandro. Automated design and modeling for mass-customized housing. A web-based design space catalog for timber structures. Automation in Construction, v. 103, p. 13–25, 2019. https://doi.org/10.1177/1478077118800982
BIAGINI, C.; DONATO, V.; PELLIS, D. Preliminary Design Through Graphs: A Tool for Automatic Layout Distribution. In: ICONARP International Journal of Architecture and Planning, [S.l.], v. 2, n. 2, p. 1-13, feb. 2015. ISSN 2147-9380. Disponível em: <http://iconarp.selcuk.edu.tr/iconarp/article/view/60>. Acesso em: 08 ago. 2020.
CALIXTO, V. Geração automatizada de layouts com o uso de algoritmos evolutivos: aplicações em arquitetura e urbanismo. Dissertação (Mestrado em Arquitetura e Urbanismo) – Universidade Estadual de Campinas, Campinas, 2016.
CHAILLOU, S. AI + Architecture | Towards a New Approach. Dissertação (Mestrado em Arquitetura). Harvard University, 2019. Disponível em: <https://www.academia.edu/39599650/AI_Architecture_Towards_a_New_Approach>. Acesso em: 13 abr. 2020.
CHANG, J. HyperCell: A Bio-inspired Design Framework for Real-time Interactive Architectures. A+BE | Architecture and the Built Environment, [S.l.], n. 1, p. 1-250, jan. 2018. ISSN 2214-7233. Disponível em: <https://journals.open.tudelft.nl/abe/article/view/1947>. Acesso em: 08 ago. 2020. https://doi.org/10.7480/abe.2018.1.1947
CÔCO JÚNIOR, V. H.; CELANI, G. From the automated generation of layouts to fabrication with the use of BIM: a new agenda for Architecture in the 21st century. In: XXII CONGRESSO INTERNACIONAL DA SOCIEDADE IBEROAMERICANA DE GRÁFICA DIGITAL (SIGRADI), 7 nov. 2018, São Carlos. Anais eletrônicos. São Carlos: Blucher Design Proceedings, 7 nov. 2018. p. 23–30. Disponível em: <https://www.proceedings.blucher.com.br/article-details/-29680>. Acesso em: 11 nov. 2018. 10.5151/sigradi2018-1302
CORREIA, R.; DUARTE, J.; LEITÃO, A. GRAMATICA: A general 3D shape grammar interpreter targeting the mass customization of housing. In: 30th ECAADE CONFERENCE, 2012, Praga. Anais da 30th eCAADe Conference - Volume 1 / ISBN 978-9-4912070-2-0. Praga, 2012, pp. 489–496. Disponível em: <http://papers.cumincad.org/cgi-bin/works/Show?ecaade2012_273>. Acesso em: 08 ago. 2020.
DARKO et al. Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities. Automation in Construction, v. 112, p. 103081, 2020. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S092658051930651X>. Acesso em: 08 ago. 2020. https://doi.org/10.1016/j.autcon.2020.103081
DAS et al. Space Plan Generator: Rapid Generation & Evaluation of Floor Plan Design Options to Inform Decision Making. In: ACADIA // 2016: POSTHUMAN FRONTIERS: DATA, DESIGNERS, AND COGNITIVE MACHINES. Anais da 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 106-115. [s.l.]: CUMINCAD, 2016. Disponível em: <http://papers.cumincad.org/cgi-bin/works/Show?acadia16_106>. Acesso em: 25 abr. 2020.
DINO, I. An evolutionary approach for 3D architectural space layout design exploration. Automation in Construction, v. 69, p. 131–150, 2016. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S0926580516301005> Acesso em: 08 ago. 2020. https://doi.org/10.1016/j.autcon.2016.05.020
DU, T. et al. Gaps and requirements for automatic generation of space layouts with optimised energy performance. Automation in Construction, v. 116, p. 103132, 2020. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S0926580519307496> Acesso em: 08 ago. 2020. DOI: https://doi.org/10.1016/j.autcon.2020.103132
EASTMAN, Chuck. Explorations of the cognitive processes in design. Pittsburgh: Carnegie Mellon University, 1968. Access in: August 20, 2019. Available at: <https://www.researchgate.net/publication/235072413_EXPLORATIONS_OF_THE_COGNITIVE_PROCESSES_IN_DESIGN>.
EASTMAN, C et al. Manual de BIM: um guia de modelagem da informação da construção para arquitetos, engenheiros, gerentes, construtores e incorporadores. Porto Alegre: Bookman, 2014. 481 p
ESTRATÉGIA BIM BR. Estratégia Nacional de Disseminação do Building Information modeling - BIM. Brasília: Mninistério da Indústria, Comércio Exterior e Serviços, [s.d.]. Access in: August 20, 2019. Available at: <http://www.mdic.gov.br/images/REPOSITORIO/sdci/CGMO/26-11-2018-estrategia-BIM-BR-2.pdf>.
FU, Q. et al. Adaptive synthesis of indoor scenes via activity-associated object relation graphs. ACM Transactions on Graphics, v. 36, n. 6, p. 201:1–201:13, 2017. Disponível em: < https://dl.acm.org/doi/10.1145/3130800.3130805> Acesso em: 08 ago. 2020.
GHAFFARIAN, M.; FALLAH, R.; JACOB, C. Organic architectural spatial design driven by agent-based crowd simulation. In: SIMAUD ’18. Symposium on Simulation for Architecture and Urban Design (SIMAUD ’18). Anais. Delft: Society for Computer Simulation International, 2018, p. 1–8. Disponível em: <https://dl.acm.org/doi/10.5555/3289750.3289767>. Acesso em: 08 ago. 2020.
KNECHT, K; KOENIG, R. Generating floor plan layouts with k-d trees and evolucionary algorithms. In: GA2010 - 13TH GENERATIVE ART CONFERENCE, 2010, Milão. Anais da GA2010-13TH Generative Art Conference, 2010. Pp 238-253. Disponível em: <https://www.researchgate.net/publication/256471356_Generating_Floor_Plan_Layouts_with_K-d_Trees_and_Evolutionary_Algorithms>. Acesso em: 08 ago. 2020.
KIERAN, S.; TIMBERLAKE, J. Refabricating Architecture: How Manufacturing Methodologies are Poised to Transform Building Construction. 1 edition. New York: McGraw-Hill Education, 2003.
KOENIG, R.; KNECHT, K. Comparing two evolutionary algorithm based methods for layout generation: Dense packing versus subdivision. AI EDAM, v. 28, n. 3, p. 285–299, 2014. Disponível em: <https://www.cambridge.org/core/journals/ai-edam/article/comparing-two-evolutionary-algorithm-based-methods-for-layout-generation-dense-packing-versus-subdivision/CF1818B1DDA0BB4B15A72EF21F68E6AB>. Acesso em: 08 ago. 2020. https://doi.org/10.1017/S0890060414000237
LOPES et al. A constrained growth method for procedural floor plan generation. In: 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT GAMES AND SIMULATION, 2010, Leicester. Anais da 11th International Conference on Intelligent Games and Simulation. Leicester, Reino Unido, 2010. Pp. 13-23. Disponível em: <https://www.researchgate.net/publication/265988238_A_constrained_growth_method_for_procedural_floor_plan_generation>. Acesso em: 08 ago. 2020.
MICHALEK, J.; CHOUDHARY, R.; PAPALAMBROS, P. Architectural layout design optimization. Engineering Optimization, v. 34, n. 5, p. 461–484, 2002. Disponível em: < https://www.cmu.edu/me/ddl/publications/2002-Michalek,Choudhary,Papalambros-EO-ArchLayout.pdf>. Acesso em: 08 ago. 2020.
MITCHELL, W J. The Theoretical Foundation of Computer-Aided Architectural Design. Environment and Planning B: Planning and Design, v. 2, n. 2, p. 127–150, 1975.
OESTERREICH, T.; TEUTEBERG, F. Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Computers in Industry, v. 83, p. 121–139, 2016. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S0166361516301944>. Acesso em: 08 go. 2020. DOI: https://doi.org/10.1016/j.compind.2016.09.006
Oxford, Technology — Compact Oxford English Dictionary. Disponível em: <http://www.askoxford.com/concise_oed/technology?view=uk> Acesso em 15 de Abril de 2007. Apud SUCCAR, B. Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in Construction 18, 2009. Pp. 357–375. 10.1016/j.autcon.2008.10.003
PREIDEL, C; BORRMANN, A. Towards code compliance checking on the basis of a visual programming language. Journal of Information Technology in Construction (ITcon), v. 21, n. 25, pp. 402–421, 2016. Disponível em: <https://www.itcon.org/paper/2016/25>. Acesso em: 08 ago. 2020.
RACEC, E.; BUDULAN, S.; VELLIDO, A. Computational Intelligence in architectural and interior design : a state-ofthe-art and outlook on the field. Barcelona: Universitat Politècnica de Catalunya, 2016. Disponível em: <https://www.cs.upc.edu/~avellido/research/RacecBudulanVellido_CCIA16.pdf>. Acesso em 08 ago. 2020.
SUCCAR, B. Building information modelling framework: A research and delivery foundation for industry stakeholders. Automation in Construction 18, 2009. Pp. 357–375. 10.1016/j.autcon.2008.10.003
VELOSO, Pedro; CELANI, Gabriela; SCHEEREN, Rodrigo. From the generation of layouts to the production of construction documents: An application in the customization of apartment plans. Automation in Construction, v. 96, p. 224–235, 2018. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S0926580518304734?via%3Dihub> Acesso em 16 de jan de 2021. https://doi.org/10.1016/j.autcon.2018.09.013
WAHBEH, Wissam. Building skins, parametric design tools and BIM platforms. In: Conference Proceedings of the 12th Conference of Advanced Building Skins, 2017, p. 1104–1111. Access in: 19 out. 2019.Available at: <https://www.researchgate.net/publication/320244444_Building_skins_parametric_design_tools_and_BIM_platforms>.
WONG, S. S. Y.; CHAN, K. C. C. EvoArch: An evolutionary algorithm for architectural layout design. Computer-Aided Design, v. 41, n. 9, pp. 649–667, 2009. Disponível em: <https://www.sciencedirect.com/science/article/abs/pii/S0010448509001109?via%3Dihub> Acesso em: 08 ago. 2020. https://doi.org/10.1016/j.cad.2009.04.005
Descargas
Publicado
Número
Sección
Licencia
Derechos de autor 2021 Verley Henry Coco Jr, Gabriela Celani
![Creative Commons License](http://i.creativecommons.org/l/by-nc-nd/4.0/88x31.png)
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.
Autores que publicam nesta revista concordam com os seguintes termos:
- Autores mantém os direitos autorais e concedem à revista o direito de primeira publicação, com o trabalho simultaneamente licenciado sob a Licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 que permite o compartilhamento do trabalho com reconhecimento da autoria e publicação inicial nesta revista.
- Autores têm autorização para assumir contratos adicionais separadamente, para distribuição não-exclusiva da versão do trabalho publicada nesta revista (ex.: publicar em repositório institucional ou como capítulo de livro), com reconhecimento de autoria e publicação inicial nesta revista.
- Autores têm permissão e são estimulados a publicar e distribuir seu trabalho online (ex.: em repositórios institucionais ou na sua página pessoal) a qualquer ponto antes ou durante o processo editorial, já que isso pode gerar alterações produtivas, bem como aumentar o impacto e a citação do trabalho publicado (Veja O Efeito do Acesso Livre).
Datos de los fondos
-
Fundação de Amparo à Pesquisa do Estado de São Paulo
Números de la subvención 17/22105-0;17/09702-9