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우병헌(Woo Byung-Hun),김선명(Kim Sun-Myung),이재홍(Lee Jae-Hong),박효선(Park Hyo-Seon) 대한건축학회 2003 大韓建築學會論文集 : 構造系 Vol.19 No.2
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.
우병헌(Woo Byung-hun),이준호(Lee Joon-Ho),박효선(Park Hyo-Seon) 대한기계학회 2001 대한기계학회 춘추학술대회 Vol.2001 No.11
With the generality of algorithm, ease of implementation, and robustness in solving a wide variety of problems, several GA-based optimization models for solving complex structural problems were proposed. However, implementation of GA-based optimization is computationally too expensive for practical use in the field of structural optimization, particularly for large-scale problems. Currently, the only general and promising approach to improve the performance of GA -based optimization algorithm is development of parallel or distributed algorithms. Therefore, in this paper, a distributed genetic algorithm with a variable mutation rate is developed for structural optimization on a cluster of personal computers. For implementation of the algorithm, a virtual distributed computing system in a collection of personal computers connected via a 100 Mb/s Ethernet LAN. The algorithm is applied to the minimum weight design of steel structures. The results show that the computational time required for serial GA-based structural optimization process is drastically reduced.