• Magazine of the Korean Society of Agricultural Engineers
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• v.37 no.1
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• pp.90-99
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• 1995

In this study, the algorithm for the optimum design of cantilever retaining wall was de veloped and solved using Modified Method of Feasible Directions(MMFD), Sequential Linear Programming(SLP) and Sequential Quadratic Programming(SQP). The algorithm was applied to the optimum design of 3-different height cantilever re tairing walls. It was shown that even though the starting points and optimization strategies are dif- ferent, the objective function and optimum design variables converge to within a close range, and consequently the reliability and efficiency of the underlying optimum design algorithm can be verified. It is expected that the optimum design algorithm developed in this study can be utilized efficiently for the optimum design of any scale cantilever retaining wall. Using optimum design method, cantilever retaining wall will be designed more economi- cally and reasonably than using traditional design method.

• Transactions of the Korean Society of Mechanical Engineers
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• v.2 no.3
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• pp.69-77
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• 1978

스폿 용접 기구를 탄성체로 생각하여 접촉 응력과 용접봉의 최적 형상을 구하였다. 접촉 응력은 2차 계획법 문제로 바꾸어 해석하였고, 이에 필요한 용접봉과 피용접판의 Flexibility matrix 들은 유한 요소법의 프로그램인 SAPIV 를 사용하였다. 최애 접촉 응력을 최소로 하는 용접봉의 형상설계를 위해 축차적인 선형 계획법을 적용하고 특정한 경우의 해를 도시하였다. 최적의 용접봉 모양은 중심부가 오목하고 가장자리 부분이 볼록한 형태로 나타났다.

• Journal of the Korea institute for structural maintenance and inspection
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• v.10 no.2
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• pp.123-133
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• 2006

The main objective of this study is to develop an optimization algorithm of framed structures with rigid and various semi-rigid connections using the multilevel dynamic programming and the sequential unconstrained minimization techniques (SUMT). The second-order elastic analysis is performed for steel framed structures. The second order elastic analysis is developed based on nonlinear beam-column theory considering the bowing effect. The following semi-rigid connections are considered; double web angle, top-seat angle and top-seat angle with web angle. We considered the three connection models, such as modified exponential, polynomial and three parameter model. The total weight of the structural steel is used as the objective function in the optimization process. The dimensions of steel cross section are selected as the design variables. The design constraints consist of strength requirements for axial, shear and flexural resistance and serviceability requirements.