Abstract
The design optimization of cold-formed steel portal frame buildings is considered in this paper. The objective function is based on the cost of the members for the main frame and secondary members (i.e., purlins, girts, and cladding for walls and roofs) per unit area on the plan of the building. A real-coded niching genetic algorithm is used to minimize the cost of the frame and secondary members that are designed on the basis of ultimate limit state. It iis shown that the proposed algorithm shows effective and robust capacity in generating the optimal solution, owing to the population's diversity being maintained by applying the niching method. In the optimal design, the cost of purlins and side rails are shown to account for 25% of the total cost; the main frame members account for 27% of the total cost, claddings for the walls and roofs accounted for 27% of the total cost.
| Original language | English |
|---|---|
| Title of host publication | Twenty-First International Specialty Conference on Cold-Formed Steel Structures |
| Subtitle of host publication | Recent Research and Development in Cold-Formed Steel Design and Construction |
| Editors | Roger LaBoube, Wei-Wen Yu |
| Place of Publication | St. Louis, Missouri, USA |
| Publisher | Missouri University of Science and Technology |
| Pages | 485-497 |
| Number of pages | 13 |
| Publication status | Published - Oct 2012 |
Keywords
- portal frame
- cold-formed steel
- optimization
- genetic algorithm