Research Article
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Year 2022, - Vol.23 - 16th DDAS (MSTAS) Special Issue -2022, 50 - 59, 23.12.2022
https://doi.org/10.18038/estubtda.1168718

Abstract

References

  • [1] Leitão A, Santos L. Programming languages for generative design: Visual or textual? 29th. In eCADe Conference, Slovenia. 2011. [2] Rafael Iván, Pazos Pérez. Blurring the Boundaries Between Real and Artificial in Architecture and Urban Design through the Use Artificial Intelligence. 2017. [3] Sutherland IE. Sketchpad a Man-Machine Graphical Communication System. SIMULATION. 1964; 2(5): 3- 20. [4] Rian IM, Asayama S. Computational design of a nature-inspired architectural structure using the concepts of self-similar and random fractals. Automation in Construction. 2016; 66: 43–58.
  • [5] Oxman R. Thinking difference: Theories and models of parametric design thinking. Design Studies. 2017; 52: 4–39. [6] Pauly, M., Mitra, N. J., Wallner, J., Pottmann, H., & Guibas, L. J. (2008). Discovering structural regularity in 3D geometry. In ACM SIGGRAPH 2008 papers (pp. 1-11).
  • [7] Caetano I, Santos L & Leitão A. Computational design in architecture: Defining parametric, generative, and algorithmic design. In Frontiers of Architectural Research Higher Edcation Press Limited Company. 2020; 9(2): 287–300.
  • [8] Terzidis K. Algorithmic architecture. Routledge. 2006. [9] Jabi W. Parametric design for architecture. Hachette UK. 2013.
  • [10] Schumacher P. Parametricism: A New Global Style for Architecture and Urban Design. Architectural Design. 2009; 79(4): 14–23.
  • [11] Oxman R, Gu N. Theories and Models of Parametric Design Thinking PDT Parametric Design Thinking View project The Impacts of Urban Density on Social Sustainability: A Computational Approach View project. 2015. [12] Burry M, Murray Z. Architectural Design Based on Parametric Variation and Associative Geometry in Challenges of the Future. 15th. In eCAADe Conference, Vienna. 1997.
  • [13] Hudson R. Knowledge Based Strategies for Parametric Design in Architecture. 2014; 77–81. [14] Vyzantiadou MA, Avdelas AV, Zafiropoulos S. The application of fractal geometry to the design of grid or reticulated shell structures. CAD Computer Aided Design. 2007; 39(1): 51–59.
  • [15] Alvarado RG & Muñoz JJ. The control of shape: Origins of parametric design in architecture in xenakis, gehry and grimshaw. Metu Journal of the Faculty of Architecture. 2012; 29(1): 107-118
  • [16] Lee J, Gu N, & Williams AP. (2014). Parametric Design Strategies for the Generation of Creative Designs. International Journal of Architectural Computing. 2014; 12(3): 263–282. [17] Osama A, Sherif L, Ezzeldin S. Fractal Geometry in Architecture: From Formative Idea to Surfical Skin DESIGN. RCHDESIGN. 2014; 14: 39–49.
  • [18] Çağdaş G. Fraktal geometri ve bilgisayar destekli mimari tasarımdaki rolü. CAD+ Bilgisayar Destekli Tasarım ve Ötesi. 1994; 23: 28-31.
  • [19] Amenta N, Choi S, & Kolluri RK. The power crust. Proceedings of the Symposium on Solid Modeling and Applications. 2001; 249–260.
  • [20] Ediz Ö, Çağdaş G. Mimari tasarımda fraktal kurguya dayalı üretken bir yaklaşım. İTÜ Journal. 2010; 4(1).
  • [21] Schmitt GN, Chen CC. Classes of design classes of methods classes of tools. Design Studies. 1991; 12(4): 246-251.
  • [22] Mayatskaya I, Kashina I, Gerlein N, Yazyev B. Fractal geometry and design of modern strcures. E3S Web of Conferences. 2021. [23] Catanese R. 3D Architectural Videomapping. International Archives of the Photogrammetry, Remote, Sensing and Spatial Information Sciences, Digital Fabrication in Architecture. 2012; 165–169.
  • [24] Aksu M. Mimarlıkta Video Projeksiyon Haritalama Kullanımı. Tasarım Enformatiği. 2019; 01(02):107–117.
  • [25] Bölek B, Yavuz B, Demirkol G, İnceoğlu, M. Video projeksiyon haritalama ve mimarlık. 2022, (sumitted for publication).

ARCHITECTURAL DESIGN WITH GENERATIVE ALGORITHM AND VIDEO PROJECTION MAPPING

Year 2022, - Vol.23 - 16th DDAS (MSTAS) Special Issue -2022, 50 - 59, 23.12.2022
https://doi.org/10.18038/estubtda.1168718

Abstract

The innovative and creative approach that is produced for architectural design problems involves quite complex stages. In architectural design, the designer's approach and numerical data make the design process a multi-layered structure. The integration of parametric modeling programs and generative algorithms makes it easy to carry out multi-layered design processes. Generative systems defined through generative algorithms enable conceptual approaches, various geometrical constructs, and different forms to be created in digital environments in solving design problems. The creation of the generative algorithm of the design eliminates the restrictive role of modeling software in the architectural design. The designer gets the opportunity to create every parameter and design criteria specific to his approach.
In this study, our aim is to develop a generative algorithm in a computer environment by using the principles of fractal geometry function. The generative system creates by overlaying the developed generative algorithm with the environmental factor parameters. In this system proposal, the goal is to produce various facade design proposals by coding the algorithm fractal functions and to make use of the visualization of various potentials of the generative algorithm in parametric facade proposals. Video projection mapping method is chosen to discuss the functionality of the parameters in the proposed generative system of the developed generative algorithm. Computation of the transformation relating consecutive image frames is an essential operation in video mapping. In this context, the design created with the generative system is reflected on a real scale medium , specifically a column in this study, and various image frames letting new design proposals produced by the algorithm were evaluated. In concluding rmarks, the advantages of architectural designs modeled by coding with the generative algorithm compared to the algorithms obtained directly with the software are discussed.

References

  • [1] Leitão A, Santos L. Programming languages for generative design: Visual or textual? 29th. In eCADe Conference, Slovenia. 2011. [2] Rafael Iván, Pazos Pérez. Blurring the Boundaries Between Real and Artificial in Architecture and Urban Design through the Use Artificial Intelligence. 2017. [3] Sutherland IE. Sketchpad a Man-Machine Graphical Communication System. SIMULATION. 1964; 2(5): 3- 20. [4] Rian IM, Asayama S. Computational design of a nature-inspired architectural structure using the concepts of self-similar and random fractals. Automation in Construction. 2016; 66: 43–58.
  • [5] Oxman R. Thinking difference: Theories and models of parametric design thinking. Design Studies. 2017; 52: 4–39. [6] Pauly, M., Mitra, N. J., Wallner, J., Pottmann, H., & Guibas, L. J. (2008). Discovering structural regularity in 3D geometry. In ACM SIGGRAPH 2008 papers (pp. 1-11).
  • [7] Caetano I, Santos L & Leitão A. Computational design in architecture: Defining parametric, generative, and algorithmic design. In Frontiers of Architectural Research Higher Edcation Press Limited Company. 2020; 9(2): 287–300.
  • [8] Terzidis K. Algorithmic architecture. Routledge. 2006. [9] Jabi W. Parametric design for architecture. Hachette UK. 2013.
  • [10] Schumacher P. Parametricism: A New Global Style for Architecture and Urban Design. Architectural Design. 2009; 79(4): 14–23.
  • [11] Oxman R, Gu N. Theories and Models of Parametric Design Thinking PDT Parametric Design Thinking View project The Impacts of Urban Density on Social Sustainability: A Computational Approach View project. 2015. [12] Burry M, Murray Z. Architectural Design Based on Parametric Variation and Associative Geometry in Challenges of the Future. 15th. In eCAADe Conference, Vienna. 1997.
  • [13] Hudson R. Knowledge Based Strategies for Parametric Design in Architecture. 2014; 77–81. [14] Vyzantiadou MA, Avdelas AV, Zafiropoulos S. The application of fractal geometry to the design of grid or reticulated shell structures. CAD Computer Aided Design. 2007; 39(1): 51–59.
  • [15] Alvarado RG & Muñoz JJ. The control of shape: Origins of parametric design in architecture in xenakis, gehry and grimshaw. Metu Journal of the Faculty of Architecture. 2012; 29(1): 107-118
  • [16] Lee J, Gu N, & Williams AP. (2014). Parametric Design Strategies for the Generation of Creative Designs. International Journal of Architectural Computing. 2014; 12(3): 263–282. [17] Osama A, Sherif L, Ezzeldin S. Fractal Geometry in Architecture: From Formative Idea to Surfical Skin DESIGN. RCHDESIGN. 2014; 14: 39–49.
  • [18] Çağdaş G. Fraktal geometri ve bilgisayar destekli mimari tasarımdaki rolü. CAD+ Bilgisayar Destekli Tasarım ve Ötesi. 1994; 23: 28-31.
  • [19] Amenta N, Choi S, & Kolluri RK. The power crust. Proceedings of the Symposium on Solid Modeling and Applications. 2001; 249–260.
  • [20] Ediz Ö, Çağdaş G. Mimari tasarımda fraktal kurguya dayalı üretken bir yaklaşım. İTÜ Journal. 2010; 4(1).
  • [21] Schmitt GN, Chen CC. Classes of design classes of methods classes of tools. Design Studies. 1991; 12(4): 246-251.
  • [22] Mayatskaya I, Kashina I, Gerlein N, Yazyev B. Fractal geometry and design of modern strcures. E3S Web of Conferences. 2021. [23] Catanese R. 3D Architectural Videomapping. International Archives of the Photogrammetry, Remote, Sensing and Spatial Information Sciences, Digital Fabrication in Architecture. 2012; 165–169.
  • [24] Aksu M. Mimarlıkta Video Projeksiyon Haritalama Kullanımı. Tasarım Enformatiği. 2019; 01(02):107–117.
  • [25] Bölek B, Yavuz B, Demirkol G, İnceoğlu, M. Video projeksiyon haritalama ve mimarlık. 2022, (sumitted for publication).
There are 16 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Buse Bölek 0000-0002-5540-6740

Hatice Günseli Demirkol 0000-0002-2301-3766

Mehmet İnceoglu 0000-0001-5264-8755

Publication Date December 23, 2022
Published in Issue Year 2022 - Vol.23 - 16th DDAS (MSTAS) Special Issue -2022

Cite

AMA Bölek B, Demirkol HG, İnceoglu M. ARCHITECTURAL DESIGN WITH GENERATIVE ALGORITHM AND VIDEO PROJECTION MAPPING. Estuscience - Se. December 2022;23:50-59. doi:10.18038/estubtda.1168718