Advertisement

Adaptive Wooden Architecture. Designing a Wood Composite with Shape-Memory Behavior

  • Maryam MansooriEmail author
  • Negar Kalantar
  • Terry Creasy
  • Zofia Rybkowski
Chapter
Part of the Lecture Notes in Civil Engineering book series (LNCE, volume 24)

Abstract

Wood is a sustainable and attractive material with a venerable history of use in architectural construction and carpentry. It also has a promising and innovative future in architecture and design. The aim of our research is to reintroduce wood as a responsive and transformable material for use in novel adaptive architectural design. By combining a refurbished technique of wood-cutting known as kerfing with the use of a shape-memory polymer resin, we have created wood-based surfaces that can turn into precise curvilinear forms without incurring damage, and then self-transform to their original shape in response to environmental stimuli. We developed a temperature-based responsive polymer and a flexible, diamond-shaped kerfing pattern in our prototype testing and were able to achieve the desired results. This method enabled us to design and control the material and its behavior by taking advantage of the micro-scale resin polymer’s effects, combined with wood’s specifically cut geometry. In addition to demonstrating the possibilities of shape memory behavior for wood-based architecture, this prototype offers a practical technique that can be used by designers to create flexible and inexpensive wood-based fabrications on the required scale with compact storage and transportation alignments.

Keywords

Adaptive architecture Wood design Shape memory behavior Curvilinear surfaces Responsive wooden surfaces Smart Materials in Architecture 

Notes

Acknowledgements

This project was funded by the National Science Foundation’s EAGER Award #1548243 and titled “Interaction of Smart Materials for Transparent, Self-regulating Building Skins.” A previous description of this ongoing project was published in the CAADRIA 2018 conference proceeding (Mansoori et al. 2018).

References

  1. Beites S (2013) Morphological behavior of shape memory polymers toward a deployable, adaptive architecture. In: Association for computer aided design in architecture (ACADIA) 2013: adaptive architecture, University of Waterloo Cambridge, Ontario, Canada, pp 121–127, 24–26 October 2013Google Scholar
  2. Branko K (2009) Digital production. In: Branko K (ed) Architecture in the digital age: design and manufacturing, 2nd edn. Taylor and Francis, New York, pp 44–48Google Scholar
  3. Correa D, Papadopoulou A, Guberan C, Jhaveri N, Reichert S, Menges A, Tibbits S (2015) 3D-printed wood: programming hygroscopic material transformations. 3d Print Addit Manuf 2(3):106–116.  https://doi.org/10.1089/3dp.2015.0022CrossRefGoogle Scholar
  4. Huang WM, Zhao Y, Wang CC, Ding Z, Purnawali H, Tang C, Zhang JL (2016) Thermo/chemo-responsive shape memory effect in polymers: a sketch of working mechanisms, fundamentals and optimization. J Polym Res 19:9952.  https://doi.org/10.1007/s10965-012-9952-zCrossRefGoogle Scholar
  5. Kalantar N, Borhani A, Akleman E (2016) Nip and tuck: a simple approach to fabricate double curved surfaces with 2d cutting. In: eCAADe 2016, 1: 344–337, Aulikki Herneoja Toni Österlund Piia Markkanen (ed) Oulu School of Architecture, Finland, 22–26 August 2016Google Scholar
  6. López M, Rubio R, Martín S, Croxford B (2017) How plants inspire façades. from plans to architecture: Biomimetic principles for the development of adaptive architectural envelopes. Renew Sustain Energy Rev 67(C):692–703.  https://doi.org/10.1016/j.rser.2016.09.018CrossRefGoogle Scholar
  7. Mansoori M, Kalantar K, Creasy T, Rybkowski Z (2018) Toward adaptive architectural skins designing temperature-responsive curvilinear surfaces. In: CAADRIA 2018, Osaka T, Huang W, Patrick C, Crolla Chinese K, Alhadidi S (ed) Tsinghua University, Beijing, China, 17–19 May 2018Google Scholar
  8. Menges A (2012) Material computation: higher integration in morphogenetic design. Archit Design 82(2):14–21CrossRefGoogle Scholar
  9. Oxman N, Rosenberg JL (2007) Material based design computation material-based design computation: an inquiry into digital simulation of physical material properties as design generators. Int J Archit Comput 1(5):25–44CrossRefGoogle Scholar
  10. Pottmann H, Schiftner A, Wallner J (2008) Geometry of architectural freeform structures. Int Math Nachr 209(2):15–28Google Scholar
  11. Tibbits S, Zuniga B, McKnelly C, Papadopoulou A (2014) Fluid-assembly chair. [online] Available at: https://selfassemblylab.mit.edu/fluid-assembly-chair/. Accessed 21 Mar 2017
  12. Timoshenko S (1925) Analysis of bi-metal thermostats. J Opt Soc Am 11:233–255.  https://doi.org/10.1364/JOSA.11.000233.CrossRefGoogle Scholar
  13. Ugolev BN (1998) Effect of freezing wood deformations at complex force and heat actions. In: 2nd international symposium on wood rheology, RydzinaGoogle Scholar
  14. Vailati C, Hass P, Burgert I, Rüggeberg M (2017) Upscaling of wood bilayers: design principles for controlling shape change and increasing moisture change rate. Mater Struct 50(250).  https://doi.org/10.1617/s11527-017-1117-4
  15. Wei ZG, Sandstrom R, Miyazak S (1998) Review Shape memory materials and hybrid composites for smart systems: part I Shape-memory hybrid composites. J Mater Sci 33(15):3763–3783CrossRefGoogle Scholar
  16. Wood D, Vailati C, Menges A (2018) Hygroscopically actuated wood elements for weather responsive and self-forming building parts: facilitating upscaling and complex shape changes. Constr Build Mater 165:785–787.  https://doi.org/10.1016/j.conbuildmat.2017.12.134CrossRefGoogle Scholar
  17. Xie T, Rousseau IA (2009) Facile tailoring of thermal transition temperatures of epoxy shape memory polymers. Polymer 50(8):1852–1856CrossRefGoogle Scholar
  18. Yang Y, Chen Y, Wei Y, Li Y (2016) Novel design and three-dimensional printing of variable stiffness robotic grippers. ASME J Mech Robot 8(6):061010–061010-15.  https://doi.org/10.1115/1.4033728CrossRefGoogle Scholar
  19. Zarrinmehr S, Ettehad M, Akleman E, Kalantar N, Borhani A (2017) Kerfing with generalized 2D meander-patterns conversion of planar rigid panels into locally-flexible panels with stiffness control. In: CAAD Futures 2017, Istanbul, Turkey, 12–14 July 2017Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Maryam Mansoori
    • 1
    Email author
  • Negar Kalantar
    • 1
  • Terry Creasy
    • 1
  • Zofia Rybkowski
    • 1
  1. 1.Architecture DivisionCalifornia College of the ArtsSan FranciscoUSA

Personalised recommendations