• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.41 no.3
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• pp.173-184
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• 2013

A multi-level design optimization framework for aerodynamic design of rotary wing such as propeller and helicopter rotor blades is presented in this study. Strategy of the proposed framework is to enhance aerodynamic performance by sequentially applying the planform and sectional design optimization. In the first level of a planform design, we used a genetic algorithm and blade element momentum theory (BEMT) based on two-dimensional aerodynamic database to find optimal planform variables. After an initial planform design, local flow conditions of blade sections are analyzed using high-fidelity CFD methods. During the next level, a sectional design optimization is conducted using two dimensional Navier-Stokes analysis and a gradient based optimization algorithm. When optimal airfoil shape is determined at the several spanwise locations, a planform design is performed again. Through this iterative design process, not only an optimal flow condition but also an optimal shape of an EAV propeller blade is obtained. To validate the optimized propeller-blade design, it is tested in wind-tunnel facility with different flow conditions. An efficiency, which is slightly less than the expected improvement of 7% predicted by our proposed design framework but is still satisfactory to enhance the aerodynamic performance of EAV system.

• Proceedings of the KAIS Fall Conference
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• 2001.05a
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• pp.108-112
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• 2001

본 논문에서는 전산유체해석 기법을 이용하여 저소음ㆍ고효율 공조기의 입구형상에 대한 유동해석을 하였다. 공조기 입구형상을 결정하는 여러 설계변수가 입구와 출구의 유동조건과 유로의 압력손실에 미치는 영향을 평가하였다. 이를 바탕으로 입구와 출구유동의 균일성과 압력손실의 최소화를 만족하는 최적의 설계 변수를 결정하여 공조기의 최적설계를 달성하였다.

• Journal of the Korea Society for Simulation
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• v.16 no.2
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• pp.45-54
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• 2007

In this article, we propose a different modeling approach, which aims at the simulation optimization so as to meet the design specification. Generally, Multi objective optimization problem is formulated by dependent factors as objective functions and independent factors as constraints. However, this paper presents the critical(dependent) factors as objective function and design(independent) factors as constraints for the selection of design factors directly. The objective function is normalized far the generalization of design factors while the constraints are composed of the simulation-based regression metamodels fer the critical factors and design factor's domain. Then the effective and fast solution procedure based on the pareto optimal solution set is proposed. This paper provides a comprehensive framework for the system design using the simulation and metamodels. Therefore, the method developed for this research can be adopted for other enhancements in different but comparable situations.

• Journal of the Korea institute for structural maintenance and inspection
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• v.12 no.1
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• pp.135-142
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• 2008

This study is concerned with the optimum design of LB-Deck plate girder bridge. The optimizing problems of the composite bridge are formulated with objective functions and constraints. The objective functions are formulated as the total cost of the concrete deck and steel girder construction and the constraints are derived by criteria with respect to the Korean Highway bridge design. The optimizing algorithm using SUMT for optimum design of the Simple span, 2-Span, 3-span LB-deck plate and general RC-steel composite girder bridges (L=60m) which act live load(DB24). And their optimum numerical results are compares and analyzed to examine the possibility of optimization, the application and convergency of this optimizing algorithm.

• Journal of Korean Society of Steel Construction
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• v.15 no.2
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• pp.197-206
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• 2003

The optimal design method in cooperation with a nonlinear elastic analysis method was presented. The proposed nonlinear elastic method overcame the drawback of the conventional LRFD method this approximately accounts for the nonlinear effect caused by using the moment amplification factors of and. The genetic algorithm uses a procedure based on the Darwinian notions of the survival of the fittest, where selection, crossover, and mutation operators are used to look for high performance among the sections of the database. They satisfy constraint functions and give the lightest weight to the structure. The objective function was set to the total weight of the steel structure. The constraint functions were load-carrying capacities, serviceability, and ductility requirement. Case studies for a two-dimensional frame, a three-dimensional frame, and a three-dimensional steel arch bridge were likewise presented.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2011.04a
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• pp.702-705
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• 2011

본 논문에서는 초고층 전단벽-아웃리거 시스템에 대해, 기존의 근사해석법과 유전알고리즘을 이용하여, 물량최적설계 기반의 구성요소 단면 및 아웃리거 최적위치 결정에 관해 연구를 진행하였다. 아웃리거 시스템의 최적성은 아웃리거의 위치와 아웃리거 시스템을 구성하는 전단벽-아웃리거, 외곽기둥의 단면 성능의 복잡한 관계에 의해 역학적으로 결정된다. 하지만 기존의 아웃리거 시스템의 최적화 연구는 대부분 전단벽과 아웃리거, 외곽기둥의 단면은 고정된 상태에서, 아웃리거의 위치만 설계변수로 하여 아웃리거의 최적위치를 찾는 연구에 국한되어 있다. 이에 본 연구에서는 G.A.를 이용하여, 아웃리거 설치위치뿐만 아니라 전단벽과 아웃리거, 외곽기둥의 단면까지 설계변수로 하여 물량최적설계 조건을 만족시키는 아웃리거시스템의 최적설계 연구를 진행하였다. 또한 반복 계산의 시간을 줄이기 위해 기존의 근사해석법을 사용하였다. 본 연구의 결과는 초고층 구조물의 초기 설계 시에 구성요소의 단면 및 아웃리거 설치 층의 선정에 적극 활용될 수 있을 것이다.

• Solar Energy
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• v.10 no.1
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• pp.14-21
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• 1990

The entropy generation rate in a fin-tube heat exchanger is investigated as a basis for thermodynamic optimization associated with single fin-tube heat exchanger. The entropy generation (irreversibility)analysis is used to find the optimum design factor and investigate total entropy generation, optimum dimensions of fin length, tube inner and outer diameters, and fin spacing on the variation of design factors. The results of this study are as follows: As the outer diameter increases, optimum !in spacing and fin length increase but the entropy generation and optimum inner diameter decrease; As fin thickness increases, the entropy generation of system and optimum fin spacing increase; As fin length increases, entropy generation and optimum outer diameter increase.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.14 no.2
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• pp.97-106
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• 2001

본 연구에서는 트러스 구조물의 이산최적설계를 위해 유전알고리즘(GA)을 적용하였다. 확률론적인 절차를 통해 설계에 필요한 초기 집단을 생성시킨 후, 설계를 개선시키기 위해서 자연선택 및 적자생존의 원리를 적용하였다. 다하중조건 하에서 트러스 구조물의 중량 최소화를 위해 응력 및 변위 제약을 고려하였다. 먼저, 이미 잘 알려진 트러스 구조물에 대해서 GA를 이용하여 얻은 최적해와 기존 문헌들에서 제시하고 있는 값들을 비교함으로써 GA의 신뢰성 및 적용성을 검증하였고, 이러한 신뢰성 검증을 바탕으로 사용성 있는 트러스 구조물의 이산최적설계를 위해 현재 생산중인 강재제원표로부터 부재가 선택되도록 하였다. 강재의 단면으로는 L형강을 사용하였으며, L형강의 강종은 9개의 강종들 (SS 400, SWS 400, SMA 41, SWS 490Y, SWS 520, SMA 50, SWS 570, SMA 58) 중에서 설계자에 의해 자유롭게 선택되도록 하였다.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2010.04a
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• pp.568-573
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• 2010

본 논문에서는 압축하중 및 풍하중, 지진하중을 받는 RC (Reinforced Concrete) 빌딩 시공에 필요한 부재의 재료비를 최소화하기 위해 부재의 부피를 최소화하는 최적설계를 수행한다. 최적설계 수행을 위해 상용 PIDO (Process Integration and Design Optimization) 툴인 PIAnO (Process Integration, Automation and Optimization)에서 제공하는 다양한 설계기법들을 이용한다. 먼저 실험계획법을 사용하여 실험계획을 세우고, 실험점에 따라 범용 구조해석 프로그램인 MIDAS Gen을 사용하여 구조해석을 수행한다. 그리고 해석결과를 바탕으로 각 응답에 대한 근사모델을 생성한 후 근사모델과 최적화기법을 이용하여 최적설계를 수행하고, 제한조건을 만족하면서 부재의 부피를 최소화함으로써 제안된 설계방법의 유효성을 보인다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.6 no.4
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• pp.1-9
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• 1986

In this paper research results of developing a method of selecting design variables of an optimization problem from a finite set of pre-specified numbers, which can be utilized for the structural optimization with standardized structural members, is presented. The method first finds a continuous optimum under the assumption that design variables can be varied continuously. Then a pseudo-optimum is determined by selecting numbers from the set that are near to the continuous optimum and do not violate constraints. The pseudo-optimum is further improved to obtain the final discrete optimum from the set which minimizes cost function of the problem. In this research, the method is combined with the gradient projection optimization algorithm. The method is applied to several minimum weight truss optimization problems with constraints on the stresses, displacements, and design variables. As the results, it is found that the method can be efficiently applied to various optimization problems of which design variables must be chosen from a standard.