Design optimization of cold-formed steel portal frames taking into account the effect of building topology

Duoc Phan, James Lim, Wei Sha, Calvin Siew, Tiku Tanyimboh, Honar Issa, Fouad Mohammad

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

Cold-formed steel portal frames are a popular form of construction for low-rise commercial, light industrial and agricultural buildings with spans of up to 20 m. In this article, a real-coded genetic algorithm is described that is used to minimize the cost of the main frame of such buildings. The key decision variables considered in this proposed algorithm consist of both the spacing and pitch of the frame as continuous variables, as well as the discrete section sizes. A routine taking the structural analysis and frame design for cold-formed steel sections is embedded into a genetic algorithm. The results show that the real-coded genetic algorithm handles effectively the mixture of design variables, with high robustness and consistency in achieving the optimum solution. All wind load combinations according to Australian code are considered in this research. Results for frames with knee braces are also included, for which the optimization achieved even larger savings in cost.
Original languageEnglish
Pages (from-to)415-433
Number of pages19
JournalEngineering Optimization
Volume45
Issue number4
Early online date23 May 2012
DOIs
Publication statusPublished - 2013

Keywords

  • cold formed steel
  • portal frames
  • genetic algorithm
  • building topology
  • design optimization

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