INFLUENCE OF PARAMETRIC TOOLS ON THE COMPLEXITY OF ARCHITECTURAL DESIGN IN EVERYDAY WORK OF SME’S

Adeline Stals, Sylvie Jancart, Catherine Elsen

DOI: http://dx.doi.org/10.26687/archnet-ijar.v12i3.1665

Abstract

Digital design tools and notably parametric ones have generated profound modifications of the architectural practice. In line with this evolution, technological and formal changes at the scale of architectural artifacts are underway, leading to a shift especially in regard of how architects deal on an everyday basis with CAD and morphological complexities. Big offices, thanks to their human and financial resources, have faced these difficulties and pushed the limits of their architectural projects. Little is known, however, about how smaller offices, accounting for the largest part of the European market, did adapt to these profound evolutions. Going through the results of a large-scale online survey, this paper analyzes the Belgian case regrouping mostly small and medium offices. The contribution discusses the meaning of parametric design for architects and reflects particularly on how architects do or do not implement these new digital tools in their everyday workflows. The results eventually shed light on the fact that parametric tools have the potential to free the creativity of SME’s and moreover unveil how these tools might overcome some of the current complexities of the daily architectural practice.


Keywords

architectural design; parametric modeling; complexity; SME’s

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References

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Ordre des Architectes. (2016). Annual report. From www.ordredesarchitectes.be.

Architects’ Council of Europe. (2015). La Profession d’architecte en Europe 2014 : une étude du secteur. Supported by Mirza & Nacey Research.

de Boissieu, A. (2013). Modélisation paramétrique en conception architecturale : Caractérisation des opérations cognitives de conception pour une pédagogie. PhD Thesis, ENSA Paris la Villette.

Chase, S., & Murty, P. (2000). Evaluating the Complexity of CAD Models as a Measure for Student Assessment. Eternity, Infinity and Virtuality in Architecture: Proceedings of ACADIA 2000, Washington, United-States, 19-22 October 2000. pp. 173–182.

Cichocka, J. M., Browne, W. N., & Rodriguez, E. (2017). Optimization in the architectural practice - An International Survey. Protocols, Flows and Glitches, Proceedings of the 22nd International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) China, 5-8 April 2017. pp. 387–397.

Dokonal, W., & Knight, M. W. (2008). What is the state of digital architectural design ? Proceedings SIGraDI 2008. Grafica Digital - Integración y Desarrolo. 12th Iberoamerican Congress of Digital Graphics, La Habana, Cuba, 1-5 December 2008. pp.1–6.

Guidera, S. (2011). Conceptual Design Exploration in Architecture Using Parametric Generative Computing : A Case Study. In A. S. for E. Education (Ed.), AC 2011.

Janssen, P. (2016). Parametric BIM. Intervention at International BIM Competition 2016 Sharing, from http://bimsg.org.

Janssen, P., & Stouffs, R. (2015). Types of parametric modelling. Proceedings International Conference of Association for Computer-Aided Architectural Design Research CAADRIA, Daegu, South Korea, May 2015. pp.157–166.

Kolarevic, B. (2003). Architecture in the Digital Age: Design and Manufacturing. New-York: Spon Press (Ed.).

Leach, N. (2014). Parametrics Explained. Next Generation Building, 1, University of Southern California, Harvard GSD. pp.1–10.

Oxman, R., & Gu, N. (2015). Theories and Models of Parametric Design Thinking. Real Time - Proceedings of the 33rd eCAADe Conference, Vienna, Austria, 16-18 September 2015. Vol. 2, pp. 477–482.

Peters, B., & Whitehead, H. (2008). Geometry , Form and Complexity. London: RIBA Publishing, 1–8.

Picon, A. (2010). Culture numérique et architecture. Birkhäuser (eds). Bâle.

Picon, A., & Razavi, A. (2011). Architecture numérique : culture et stratégies opératoires. D’architectures, 197, pp. 31–49.

Shelden, D. R. (2002). Digital Surface Representation and the Constructability of Gehry’s Architecture. PhD Thesis, Masachusetts Institute of Technology.

Stals, A., Elsen, C., & Jancart, S. (2016). Ruptures et démesures de l’architecture non-standard à l’ère du numérique : la paramétrisation comme outil de réconciliation. Mètre et paramètre, mesure et démesure du projet, SCAN 16, Toulouse, France, 7-9 September 2016.

Stals, A., Elsen, C., & Jancart, S. (2017). Practical Trajectories of Parametric Tools in Small and Medium Architectural Firms. Future trajectories in computanion in design, CAAD Futures, Istanbul, 12-14 July 2017.

Stals, A., Elsen, C., Jancart, S., & Delvaux, F. (2015). Challenges in Teaching Architectural Morphogenesis Architectural. Proceedings of the 3rd International Conference for Design Education Researchers, Chicago, United-States.

Stals, A., Jancart, S., & Elsen, C. (2016). How Do Small and Medium Architectural Firms Deal with Architectural Complexity ? A Look Into Digital Practices, 2, 159–168.

Terzidis, K. (2004). Algorithmic Design : A Paradigm Shift in Architecture ? Architecture in the Network Society - 22nd eCAADe Conference Proceedings, Copenhague, Denmark, 15-18 September 2004, pp. 201–207.

Turrin, M., Sariyildiz, S., & Paul, J. (2015). Interdisciplinary parametric design : the XXL experience. Iass - Proceedings of the International Association for Shell and Spatial Structures, Amsterdam, Holland.

Direction générale de l'Economie et de l'Emploi. Notice du dossier simplifié préalable à la demande d’intervention. Région Wallonne.

Weytjens, L., Verbeeck, G., & Verdonck, E. (2009). Classification and Use of Design Tools: The Roles of Tools in the Architectural Design Process. Design Principles and Practices: An International Journal, 3(1), 289–302.

Woodbury, R. (2010). Elements of Parametric Design. Routledge (eds.). New York.


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