In this article, a genetic algorithm (GA) is presented for the optimum design of geometrically non-linear elasticΒ± plastic steel frames with discrete design variables. Design variables are selected from practically available sets of standard steel sections. Relatively large displacement restrictions
Optimum design of pitched roof steel frames with haunched rafters by genetic algorithm
β Scribed by M.P Saka
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 275 KB
- Volume
- 81
- Category
- Article
- ISSN
- 0045-7949
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β¦ Synopsis
The pitched roof steel frames appear to be the simplest structural form used in single storey buildings. However, its design necessitates consideration of many different structural criteria that are required in the design of complex structures. In this paper, a genetic algorithm is used to develop an optimum design method for pitched roof steel frames with haunches for the rafters in the eaves. The algorithm selects the optimum universal beam sections for columns and rafters from the available steel sections tables. Furthermore, it determines the optimum depth of the haunch at the eaves and the length of the haunch required for reaching the most cost-effective form. Formulation of the design problem is based on the elastic design method. The serviceability and the strength constraints are included in the design problem as defined in BS 5950. Furthermore, the overall buckling of columns and rafters in the torsional mode between effective torsional restraints to both flanges is also checked. A pitched roof frame is designed by the algorithm developed to demonstrate its practical application.
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