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SHAPING COMPLEX GEOMETRY WITH USING EVOLUTIONARY DIGITALS OPTIMALIZATION TOOLS. A NEW APPROACH TO ARCHITECTURAL DESIGN

Krystyna Januszkiewicz

First published: 2017-06-20https://doi.org/10.5593/sgem2017/62/s27.095View metrics

Abstract

The paper explores the possibilities of defining geometry and its behaviors with using ESO digital tools in an integrated structural and architectural design. It is an response to the current needs geared towards sustainability, combining ecological and economic efficiency. The first part of the paper defines the Evolutionary Structural Optimization tools, which were developed specifically for engineering purposes using finite element analysis as a framework. The development of ESO has led to several variations which are all briefly discussed (Additive ESO, Bi-directional ESO, Extended ESO). The second part presents results of using these tools in structural and architectural design. Actual building projects which involve optimization as a part of the original design process will be presented (Crematorium in Kakamigahara Gifu, Japan, 2006 SANAAпїЅs Learning Centre, EPFL in Lausanne, Switzerland 2008 among others). The conclusion emphasizes, that the structural engineering and architectural design means directing attention to the solutions, which are used by Nature, designing works optimally shaped and forming their own environments. Contemporary digital methods make the simulation of such processes possible, and thus enable us to refer back to the empirical methods of previous generations.

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Publication details

Title
SHAPING COMPLEX GEOMETRY WITH USING EVOLUTIONARY DIGITALS OPTIMALIZATION TOOLS. A NEW APPROACH TO ARCHITECTURAL DESIGN
Authors
Krystyna Januszkiewicz
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Nano, Bio and Green - Technologies for a Sustainable Future
Publisher
STEF92 Technology
Year
2017
Pages
749-756
SWS Citekey
Januszkiewicz201727749756
ISSN
1314-2704
ISBN
978-619-7408-13-3
Language
en
Publication type
Conference Paper
Keywords
References8
  1. Xie Y. M., Steven G. P., Nielsen M. P., A simple evolutionary procedure for structural optimization, Computers & Structures No. 49, 5/1993, pp. 885-896 also: Xie Y.M., Steven G.P., Evolutionary Structure Optimization, Springer Verlag, 1997.

  2. X. Huang, A. Radman and Y. M. Xie, Topological Design of Microstructures of Cellular Materials for Maximum Bulk or Shear Modulus, Computational Materials Science 50, no.6, 2011, pp. 1861–70.

  3. Huang X., Xie Y. M., and Burry M. C., Advantages of B-Directional Evolutionary Atructural Optimization (BESO) over Evolutionary Structural Optimization (ESO), Advances in Structural Engineering Vol. 10 No. 6, 2007, pp. 727-737.

  4. Sasaki M., Morphogenesis of Flux Structures, AA Publication, London 2007.

  5. Ohmori H., Computational Morphogenesis. Its Current State and Possibility for the Future, Proceedings of the 6th International Conference on Computation of Shell and Spatial Structures, 28-31 May 2008, Cornell University, Ithaca, NY, USA, pp. 148-152.

  6. Januszkiewicz K., Evolutionary digital tools in designing nonlinear shaping of concrete structures in current architecture, Central European Congress on Concrete Engineering, Concrete Structures in Urban Areas, September 4-6, Wroclaw 2013, DC full version: pp. 75-80.

  7. C. Cui, H. Ohmori, M. Sasaki, Computational Morphogenesis of 3D Structures by Extended ESO Method, Journal of the International Association for Shell and Spatial Structures, vol.44, no141, 2003, pp. 51-61.

  8. Bollinger K., Grohman M., Tessmann O., Form, Force, Performance. Multiparametric Structural Design, AD Vol. 78, No. 2–3, 2008, pp. 20–25.

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