Optimum design of cold-formed steel columns by using micro genetic algorithms

Jaehong Lee, Sun Myung Kim, Hyo Seon Park

Research output: Contribution to journalArticle

27 Citations (Scopus)

Abstract

Cold-formed steel members such as beams and columns have the great flexibility of cross-sectional profiles and sizes available to structural steel designers. However, this flexibility makes the selection of the most economical section difficult for a particular situation. In this study, micro genetic algorithm (MGA) is used to find an optimum cross section of cold-formed steel channel and lipped channel columns under axial compression. Flexural, torsional and torsional-flexural buckling of columns and flat-width-to-thickness ratio of web, flange and lip are considered as constraints. The design curves are generated for optimum values of the thickness, the web flat-depth-to-thickness ratio, the flange flat-width-to-thickness ratio for columns. As numerical results, the optimum design curves are presented for various load level and column lengths.

Original languageEnglish
Pages (from-to)952-960
Number of pages9
JournalThin-Walled Structures
Volume44
Issue number9
DOIs
Publication statusPublished - 2006 Sep 1

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Genetic algorithms
Flanges
Steel
Axial compression
Buckling
Optimum design

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Building and Construction
  • Mechanical Engineering

Cite this

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Optimum design of cold-formed steel columns by using micro genetic algorithms. / Lee, Jaehong; Kim, Sun Myung; Seon Park, Hyo.

In: Thin-Walled Structures, Vol. 44, No. 9, 01.09.2006, p. 952-960.

Research output: Contribution to journalArticle

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