Optimizing the Cross-sectional Shapes of Extruded Aluminium Structural Members for Unitized Curtain Wall Facades

Adam D Lee, Paul Shepherd, Mark C Evernden, David Metcalfe

Research output: Contribution to journalArticlepeer-review

84 Citations (SciVal)
282 Downloads (Pure)

Abstract

Curtain walls are lightweight, weathertight, exterior facades. They are capable of resisting wind loads, but provide no support for the building it to which they are attached. Although they are used to enclose many different types of modern building, and although they may be designed to carry any of the outward-facing materials an architect might wish to specify, the stereotypical curtain wall is a skyscraper's fully-glazed outer skin.

The materials used in these wall systems, particularly their structural aluminium frames, are produced by energy intensive methods. Even though there is an environmental motive to reduce the embodied energy by minimizing aluminium content, and despite the obvious commercial incentive, it is a difficult mathematical challenge to find optimal extrusion shapes. The authors believe that because of the inherent complexity of the optimization task, in the curtain walls of real buildings, metal is used inefficiently.

This paper describes the way in which near-optimal shapes for any particular building's curtain wall extrusions may be found using a parametrically-controlled geometric model in conjunction with a numerical search routine – in this case, a genetic algorithm.

When the curtain walls designed for large and recently-constructed buildings by experienced facade engineers are compared with designs developed using the algorithmic techniques described herein, it is consistently the numerically-optimized solutions which are more efficient. The magnitude of the metal savings achieved by applying computational methods will vary from building to building, but this study suggests that in many cases aluminium mass may be reduced by 20% or more.
Original languageEnglish
Pages (from-to)147-156
Number of pages10
JournalStructures
Volume10
Early online date18 Mar 2017
DOIs
Publication statusPublished - 31 May 2017

Keywords

  • facade design
  • genetic algorithm
  • embodied energy
  • green building
  • structural optimization

ASJC Scopus subject areas

  • Engineering(all)

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