| Title |
Optimum Design of Cold-Formed Channel Beams under Uniformly Distributed Load using Micro Genetic Algorithm |
| Authors |
Woo Byung-Hun ; Kim Sun-Myung ; Lee Jae-Hong ; Park Hyo-Seon |
| Keywords |
Cold-Formed Channel Beams ; 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 channel beams under uniformly distributed load. All structural constraints such as moments, deflection, shear, web crippling, and flange curling are considered. 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. The optimum design curves presented in this paper can be a valuable guide to structural engineers. |