MAKE DISCOVERY THROUGH SERENDIPITY: A GENERATIVE DESIGN PLATFORM FOR PERFORMATIVE ARCHITECTURAL DESIGN EXPLORATION

https://doi.org/10.22146/teknosains.100109

Aswin Indraprastha(1*)

(1) School of Architecture, Planning, and Policy Development Institut Teknologi Bandung
(*) Corresponding Author

Abstract


The repercussions of information technologies in the design process are undoubtedly revolutionary. As the digital natives will no longer require a traditional method to learn digital tools in architecture, there is a need to shift from tradition-bound techniques to an experimental mode where creativity and innovation rely upon a platform of explorative, speculative, and the recognition of serendipity and error as a credible basis on which innovation occurs. This study seeks to embrace a new method for design exploration by a generative design platform. Form-finding is encouraged through a bottom-up process of speculative actions. The goal is to cultivate serendipitous discoveries in the design process and leverage generative tools to explore performative aspects of architecture. The findings of this research offer some insights into how generative design platforms can encourage performative architectural design exploration.

 


Keywords


Generative Design; Design Platform; Design Exploration; Design Pedagogy; Performative Design.

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References

Ashari, A., Amoroso, N., Kelly, S. (2022). Generative Design in Landscape Architecture: Defining Three Design Scripts for Beginners. Journal of Digital Landscape Architecture. https://doi.org/10.14627/537724058

Axel Killian. (2006). Design exploration through bidirectional modeling of constraints. Thesis. Massachusetts Institute of Technology, Dept. of Architecture, MIT, Massachusetts.

Bollmann, D., Bonfiglio, A. (2013). Design constraint systems - A generative approach to architecture. International Journal of Architectural Computing 11. https://doi.org/10.1260/1478-0771.11.1.37

Carpo, M. (2017). The Second Digital Turn: Design Beyond Intelligence, Writing architecture series. Paperback, The MIT Press. ISBN: 9780262534024

Carroll, J.B., Guilford, J.P. (1968). The Nature of Human Intelligence. American Educational Research Journal. https://doi.org/10.2307/1161820

Daniel, D. (2013). Modelled on Software Engineering: Flexible Parametric Models in the Practice of Architecture. Thesis for Doctor of Philosophy. School of Architecture and Design, RMIT, Melbourne.

Deutsch, R. (2020). Design Thinking in Architecture, in: Think Like an Architect. Routledge. https://doi.org/10.4324/9781003108535-43

Deutsch, R. (2019). Superusers: Design technology specialists and the future of practice, Superusers: Design Technology Specialists and the Future of Practice. Routledge. https://doi.org/10.4324/9781351138987

Engelbart, D.C. (2023). AUGMENTING HUMAN INTELLECT: A Conceptual Framework, in: Augmented Education in the Global Age: Artificial Intelligence and the Future of Learning and Work. Routledge. https://doi.org/10.4324/9781003230762-3

Gu, N., Singh, V., Merrick, K. (2010). A framework to integrate generative design techniques for enhancing design automation, in: New Frontiers - Proceedings of the 15th International Conference on Computer-Aided Architectural Design in Asia, CAADRIA 2010. https://doi.org/10.52842/conf.caadria.2010.127

Hayes, J.R. (1989). Handbook of Creativity. Perspectives on Individual Differences. Plenum Press, New York.

Hensel, M., Menges, A., Weinstock, M. (2013). Morphogenesis and Emergence (2004‐2006), in: The Digital Turn in Architecture 1992–2012. https://doi.org/10.1002/9781118795811.ch11

Hensel, M., Menges, A., Weinstock, M. (2004). Emergence in Architecture. Architectural Design Vol. 74, 3rd Ed.

Johnson, J.S., Vermillion, J. (2016). Digital design exercises for architecture students, Digital Design Exercises for Architecture Students. Routledge. https://doi.org/10.4324/9781315742229

Kolarevic, B. (2004). Architecture in the digital age: Design and manufacturing, Architecture in the Digital Age: Design and Manufacturing. Taylor & Francis. https://doi.org/10.4324/9780203634561

Lee, J.H., Ostwald, M.J. (2020). Creative decision-making processes in parametric design. Buildings Journal. Vol.10, 12th Ed. https://doi.org/10.3390/buildings10120242

Mukkavaara, J., Sandberg, M. (2020). Architectural design exploration using generative design: Framework development and case study of a residential block. Buildings Journal. Vol. 10, 11th Ed. https://doi.org/10.3390/buildings10110201

Negroponte, N. (1973). The Architecture Machine: Toward a More Human Environment, Computer-Aided Design. MIT Press. https://doi.org/10.7551/mitpress/8269.001.0001

Oxman, R. (2017). Thinking difference: Theories and models of parametric design thinking. Design Studies. Elsevier Vol. 52. https://doi.org/10.1016/j.destud.2017.06.001

Oxman, R. (2006). Theory and design in the first digital age. Design Studies. Elsevier Vol. 27. https://doi.org/10.1016/j.destud.2005.11.002

Peteinarelis, A., Yiannoudes, S. (2018). Parametric Models and Algorithmic Thinking in Architectural Education, in: Proceedings of the International Conference on Education and Research in Computer Aided Architectural Design in Europe. https://doi.org/10.52842/conf.ecaade.2018.2.401

Schon, D.A. (1983). The Reflective Practitioner: How Professionals Think in Action (Arena). Basic Books. https://doi.org/10.4324/9781315237473

Schumacher, P. (2009). Parametricism: A new global style for architecture and urban design. Architectural Design. https://doi.org/10.1002/ad.912

Senske, N. (2014). Confronting the challenges of computational design instruction, in: Rethinking Comprehensive Design: Speculative Counterculture - Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2014. https://doi.org/10.52842/conf.caadria.2014.821

Stempfle, J. Badke-Schaub, P. (2002). Thinking in design teams - An analysis of team communication. Design Studies. Vol. 23. https://doi.org/10.1016/S0142-694X(02)00004-2

Sternberg, R.J. (2003). Creativity and Development; Oxford University Press, New York.

Steven, J. 2010. Where Good Ideas Come From, the Natural History of Innovation, 2010th ed. Riverhead Books, New York.

Terzidis, K. (2006). Algorithmic architecture, Algorithmic Architecture. Books: Routledge. https://doi.org/10.4324/9780080461298

Woodbury, R. (2010). Elements of parametric design. Book: Routledge. ISBN 9780415779876

Yehuda E. Kalay. (2004). Architecture’s New Media: Principles, Theories, and Methods of Computer-Aided Design. Nexus Network Journal. MIT Press. DOI:10.1007/s00004-005-0015-1



DOI: https://doi.org/10.22146/teknosains.100109

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