유전알고리즘을 이용한 철근콘크리트 보의 최적설계 = Optimum Design of Reinforced Concrete Be using Genetic Algorithm

다국어 초록 (Multilingual Abstract)

This paper describes the application of genetic algorithm for the optimum design of reinforced concrete beam. The cost of reinforced concrete beam as an objective function which includes the costs of concrete, formwork, tensile steel reinforcement and shear reinforcement is minimized. The flexural and shear strength, deflection, upper-lower bounds on steel reinforcement and beam width-depth ratio are considered as the constraints. For the check of the serviceability, deflection is calculated under the service loading by the effective moment of inertia instead of the gross moment of inertia.
Optimum results obtained from GA are compared to verify the validity of GA with other literature. Then, GA is applied to 3 span RC beam based on standard specifications.