Smart Structures in Architectural Projects: Towards an interactive design framework combining multiscalar structural optimisation and custom-optimized structural nodes for generative design

Authors

  • Lukas Himsel Scalabs UG, Nuremberg, Germany.
  • Markus Schaller Independent Artist, Berlin, Germany.
  • Manuel Muehlbauer RMIT Melbourne, Cadolzburg, Germany.

DOI:

https://doi.org/10.29393/UR15-3SSLM30003

Keywords:

Human-In-The-Loop, Artificial Intelligence, Evolutionary Design, Design Optimisation, Generative Design

Abstract

Interactive mass customisation is changing practice in the architecture, engineering, and construction (AEC) industry. Future workflows in software systems could address human-in-the-loop technology to augment human creative capacities. Early design stages require quick and well-informed decisions in response to data available from building information modelling technology. Architectural de-sign has been transformed by the in-troduction of design software but until recently the actual design has continued to be performed by the architect. That has begun to change with the exploration of interactive design frame works. Optimizing structures on multiple scales effects both, the overall structure in dependence of the architectural geometry and the local expression of 3D printed structural nodes.

The reported research explored an algo-rithm to close geometric gaps in generative design of structural components. This foam-like algorithm allowed the artist and architect to design New Structuralism style using a combination of different optimisation routines. As a result, the SPUME algorithm was investigated to inte-grate several geometric parts in an organic shape for design of custom-optimized structural nodes. As part of the case study, a pavilion with a tessellated structure and 3D printed custom-optimized structural nodes was designed by an artist and an architect to showcase the application potential of the conceptualized framework. Finally, a prototype for connecting brackets and BESO optimized shape of the structural nodes was produced to combine all aspects of the local node geometry in the tectonic representation.

Downloads

Download data is not yet available.

References

Abdelwahab, M.M., & Tsavdaridis, K.D. (2021). Application of Topology Optimisation to Steel Node Connections and Additive Manufacturing. M. Meboldt and C. Klahn (Eds.), Industrializing Additive Manufacturing (pp. 374–390). Springer International Publishing.

Akin, O. (1979). Models of Architectural Knowledge. An Information Processing View of Architectural Design. Carnegie Mellon University.

Araújo, A.A., Paixao, M., Yeltsin, I., Dantas, A., & Souza, J. (2016). An Architecture based on interactive optimisation and machine learning applied to the next release problem. Automated Software Engineering, 24, 623-671. https://doi.org/10.1007/s10515-016-0200-3.

Barros, M., Duarte, J.P., & Chaparro, B. M. (2015). A Grammar Based Model for the Mass Customisation of Chairs. Modelling the Optimisation Part. Nexus Network Journal, 17(3), 875–898. https://doi.org/ 10.1007/s00004-015-0265-5.

Bertling, J., & Rommel, S. (2016). A Critical View of 3D Printing Regarding Industrial Mass Customization Versus Individual Desktop Fabrication. J.P.P. Ferdinand (Ed.), The Decentralized and Networked Future of Value Creation. 3D Printing and its Implications for Society, Industry, and Sustainable Development. Springer.

Bright, J., Suryaprakash, R., Akash, S., & Giridharan, A. (2021). Optimization of quadcopter frame using generative design and comparison with DJI F450 drone frame. IOP Conference Series: Materials Science Engineering, 1012. https://doi.org/10.1088/1757-899X/1012/1/012019.

Burry, M., & Burry, J. (2016). Prototyping for architects. London: Thames & Hudson.

Cichocka, J.M., Browne, W.N., & Rodriguez, E. (2017), Optimization in the architectural practice. Janssen, P., Loh, P., Raonic, A., Schnabel, M.A. (Eds.) Protocols, Flows and Glitches: Proceedings of the 22nd International Conference of the Association for Computer Aided Architectural Design Research in Asia (CAADRIA), 2017. The Association for Computer Aided Architectural Design Research in Asia (CAADRIA).

Crolla, K., Williams, N., Muehlbauer, M., & Burry, J. (2017). Smartnodes pavilion towards custom-optimized nodes applications in construction. Protocols, Flows, and Glitches Proceedings of the 22nd CAADRIA Conference. 2017, 467-477. The Association for Computer Aided Architectural Design Research in Asia (CAADRIA).

Gibson, I., Rosen, D., & Stucker, B. (2015). Development of Additive Manufacturing Technology. R.P. Naboni (Ed.), Additive manufacturing technologies. 3D printing, rapid prototyping and direct digital manufacturing. Springer.

Haeusler, M., Muehlbauer, M., Bohnenberger, S., & Burry, J. (2017). Furniture design using custom optimised structural nodes. Proceedings of the 22nd International Conference of the Association for Computer Aided Architectural Design Research in Asia 2017 Protocols, Flows and Glitches, 841-851. The Association for Computer Aided Architectural Design Research in Asia.

Harding, J., & Brandt-Olsen, C. (2018). Biomorpher: Interactive evolution for parametric design. International Journal of Architectural Computing, 16(2), 144-163.

Huang, X., & Xie, M. (2010). Evolutionary topology optimization of continuum structures: methods and applications. John Wiley & Sons.

Johnson, L. M. (2012). B-Shelves: A Web Based Mass Customized Product. Master of Science in Architecture. University of Washington.

Lee, H.C., Herawan, T., & Noraziah, A. (2012). Evolutionary grammars based design framework for product innovation. Procedia Technology, 1, 132–136. https://doi.org/10.1016/j.protcy.2012.02.026.

Martinez, A.C.P., Souza, D.L. de, Santos, D.M. dos, Pedroti, L.G., Carlo, J.C., & Martins, M.A.D. (2019). Avaliação do comportamento mecânico dos polímeros ABS e PLA em impressão 3D visando simulação de desempenho estrutural. Gestão & Tecnologia De Projetos, 14(1), 125-141. https://doi.org/10.11606/gtp.v14i1.148289

Moustapha, H. (2005). Architectural Explorations. A Formal Repre-sentation for the Generation and Transformation of Design Geometry. Carnegie Mellon University.

Muehlbauer, M. (2021). Interaktive Bauteiloptimierung für intelligente Produktion Human-In-The-Loop-Design-Systeme für fortgeschrittene Fertigungsnetzwerke. Kompetenzen für die digitale Transformation 2020: Digitalisierung der Arbeit-Kompetenzen-Nachhaltigkeit 1. Digital-kompetenz-Tagung. 49-60. Springer.

Muehlbauer, M., Song, A., & Burry, J. (2020). Smart Structures-A Generative Design Framework for Aesthetic Guidance in Structural Node Design. Berlin. Proceedings of the 38th eCAADe Conference.

Na, S., Kim, S., & Moon, S. (2022). Additive manufacturing (3D Printing)applied construction: Smart node system for an irregular building façade. Journal of Building Engineering, 56. https://doi.org/10.1016/j.jobe.2022.104743.

Naboni, R., & Paoletti, I. (2015). Additive Manufacturing. R.P. Naboni (Ed.), Advanced Customization in Architectural Design and Construction.Springer.

Özdemir, S. (2021). Analysis of structural system behaviors for architectural form alternatives in the schematic design. JCoDe: Journal of Computational Design, 2(2), 103-126. https://doi.org/10.53710/jco de.984086

Preisinger, C. (2013). Linking Structure and Parametric Geometry. Architectural Design, 83(2), 110–113. https://doi.org/10.1002/ad.1564

Preisinger, C., & Heimrath, M. (2014). Karamba—A Toolkit for Parametric Structural Design. Structural Engineering International, 24(2), 217–221. https://doi.org/10.2749/101686614X13830790993483

Prohasky, D., Williams, N., Crolla, K. & Burry, J. (2015). SmartNodes: Light weight parametric structural design process with BESO. In Proceedings of IASS Annual Symposia. 2015, 29, 1-12. International Association for Shell and Spatial Structures (IASS).

Seifi, H., Xie, Y. M., O’Donnell, J., & Williams, N. (2016). Design and fabrication of structural connections using bidirectional evolutionary structural optimization and additive manufacturing. Applied Mechanics and Materials, 846, 571-576.

Snijder, A.H., van der Linden, L.P.L., Goulas, C., Louter C., & Nijsse, R. (2020). The glass swing: a vector active structure made of glass struts and 3D printed steel nodes. Glass Structures Engineering, 5, 99–116. https://doi.org/10.1007/s40940-019-00110-9

Takagi, H. (2001). Interactive evolutionary computation. Fusion of the capabilities of EC optimisation and human evaluation. Proceedings IEEE, 89(9), 1275–1296. https://doi.org/10.1109/5.949485.

Teixeira, J., Schaefer, C.O., Rangel, B., Maia, L., & Alves, J.L. (2022). A road map to find in 3D printing a new design plasticity for construction e The state of art. Frontiers of Architectural Research, 12(2), 337-360. https://doi.org/10.1016/j.foar.2022.10.001

Wang, X., Xu, S., Zhou, S., Xu, W., Leary, M., Choong, P., & Xie, Y.M. (2016). Topological design and additive manufacturing of porous metals for bone scaffolds and orthopaedic implants: A review. Biomaterials, 83, 127-141.

Xie, Y.M., & Steven, G. P. (1993). A simple evolutionary procedure for structural optimization. Computers & structures, 49(5), 885-896.

Wachsmann, K. (1959). Wendepunkt im Bauen. Wiesbaden.

Published

2022-12-31

How to Cite

Himsel, L. ., Schaller, M. ., & Muehlbauer, M. . (2022). Smart Structures in Architectural Projects: Towards an interactive design framework combining multiscalar structural optimisation and custom-optimized structural nodes for generative design. URBE. Arquitectura, Ciudad Y Territorio, (15), 36-55. https://doi.org/10.29393/UR15-3SSLM30003

Issue

Section

Articles