| Title |
Optimum Design of Cold-Formed Steel Beams using Micro Genetic Algorithm |
| Keywords |
Cold-Formed Steel Beam ; Optimization ; Micro-Genetic Algorithm |
| Abstract |
An important advantage of cold-formed steel is 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(μ-GA) is used to find an optimum cross section of cold-formed steel beams. μ-GA is one of the improved form of GA, to reduce iteration and computing resources by using small populations. The efficiency of μ-GA has been proved through many problems, especially the problem with 3～5 design variables. The design curves are generated for optimum values of the thickness and the web flat-depth-to-thickness ratio for unbraced beams under pure bending. The optimum design curves presented in this paper can be a valuable guide to structural engineers. |