• Geomechanics and Engineering
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• 제20권6호
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• pp.527-536
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• 2020

The paper represents an optimization algorithm for reinforced concrete retaining wall design. The proposed method, called Rao-3 optimization algorithm, is a recently developed algorithm. The total weight of the steel and concrete, which are used for constructing the retaining wall, were chosen as the objective function. Building Code Requirements for Structural Concrete (ACI 318-05) and Rankine's theory for lateral earth pressure were considered for structural and geotechnical design, respectively. Number of the design variables are 12. Eight of those express the geometrical dimensions of the wall and four of those express the steel reinforcement of the wall. The safety against overturning, sliding and bearing capacity failure were regarded as the geotechnical constraints. The safety against bending and shear failure, minimum and maximum areas of reinforcement, development lengths of steel reinforcement were regarded as structural constraints. The performance of proposed algorithm was evaluated with two design examples.

• 한국정밀공학회지
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• 제26권12호
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• pp.102-109
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• 2009

This study proposes the structural optimization of a manifold valve. FE analysis is performed to evaluate the strength of a manifold valve. In addition, the structural optimization technique is applied to reduce its weight. In this study, the optimization method using the kriging interpolation method is adopted to obtain the minimum weight satisfying the strength constraint. The maximum stress and the weight are replaced by the metamodels. In this process, tile sample points are generated by latin-hypercube design. Optimum designs are obtained by ANSYS Workbench and the in-house program.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 춘계 학술논문 발표대회
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• pp.185-186
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• 2018

The slabfrom, which is commonly used in construction sites, has drawbacks in that the workability of the workers is reduced due to their heavy weight. This study investigates the possibility of design optimization of euro form between structural stability and weight using harmonic search algorithm. The harmonic search algorithm is a metaheuristic optimization technique that obtains multiple optimal solution candidates through iterative. As a result of multiple attempts of optimization through the algorithm, it was possible to design the formwork which is structurally stable and light in weight than the existing formwork.

• 대한기계학회논문집A
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• 제31권2호
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• pp.269-276
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• 2007

Optimal thickness and shape of the pedal arm of an automotive clutch is determined, using the numerical optimization technique, by solving the size and shape optimization problems to minimize its weight. For the optimization problems, two cases of stress and displacement constraints are considered: one from the vertical, and the other from the transverse stiffness test condition. The result of the transverse case is shown to be more conservative than that from the vertical case, being determined as the final optimum.

• 한국자동차공학회논문집
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• 제23권3호
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• pp.336-343
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• 2015

One of various main jobs in the design of a new tactical vehicle is to develop the lightest chassis parts satisfying the required durability target. In this study, the analytic methods to reduce the size and weight of a lower control arm and chassis frame of a Korean light tactical vehicle are presented. Topology optimization by ATOM (Abaqus Topology Optimization Module) is applied to find the optimal design of the suspension arm with volume and displacement constraints satisfied. In case of chassis frame, the light-weight optimization process associated with design sensitivity method is developed using Isight and ABAQUS. By these analytic methods we can provide design engineers with guides to where and how much the design changes should be made.

• Journal of the Korean Data and Information Science Society
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• 제12권2호
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• pp.1-10
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• 2001

신경망은 점차 분류 및 함수추정을 위한 현대 통계적 방법론으로 부각되고 있다. 신경망은 특히 선형 회귀함수를 일반화시키는 유연한(flexible) 방법을 제공하며 일반적 비선형 함수를 모수화하는 방법으로 간주된다. 본 논문에서는 함수추정을 위한 신경망을 생각한다. 신경망이 훈련자료를 과대적합하는 것을 피할 수 있도록 하는 간단한 방법은 정칙화(regularization)이다. 신경망에서는 정칙화를 위해 주로 가중치 감소법(weight decay method)을 사용한다. 함수추정을 위해 가중치감소 신경망을 사용할 때 은닉노드수, 가중치모수, 학습률 및 학습반복회수가 중요한 모수이다. 본 논문에서는 유전자 알고리즘을 사용하여 가중치감소 신경망의 중요한 모수들을 자동으로 최적화하는 방법을 제안하고 결과적으로 가중치감소 신경망을 자동학습하는 방법을 설명한다. 그리고 다른 함수추정방법들과 자동학습된 가중치감소 신경망을 비교분석한다.

• 한국기계가공학회지
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• 제21권4호
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• pp.100-106
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• 2022

Topology optimization is applied for the optimal design of various products to ensure weight reduction and productivity improvement. Reducing the weight of the mold while maintaining its rigidity can ensure shortening of the production cycle, stabilization of the mold temperature, and reduction of mold material costs. In this study, a topology optimization technique was applied to the optimal design of the injection mold, and a topology-optimized model of the mold was obtained. First, the injection mold for the square specimens was modeled. Subsequently, a structural analysis was performed by implementing a load condition generated during the injection molding process. Topology optimization was performed based on the structural analysis results, and the models of the initial and topology-optimized designs were manufactured at 1/4 magnification using a 3D printer. Consequently, compared with the existing model, the weight of the topology-optimized model decreased by 9.8%, and the manufacturing time decreased by 7.61%.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2000년도 봄 학술발표회논문집
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• pp.187-194
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• 2000

Weight reduction for an automobile body is being sought for the fuel efficiency and the energy conservation. One way of the efforts is adopting Ultra Light Steel Auto Body (ULSAB) concept. The ULSAB concept can be used for the light weight of an automobile door with the tailor welded blank (TWB). A design process is defined for the TWB. The inner panel of door is designed by the TWB and optimization. The design starts from an existing component. At first, the hinge and inner reinforcements are removed. In the conceptual design stage, topology optimization is conducted to find the distribution of variable thicknesses. The number of parts and the welding lines are determined from the topology design. In the detailed design process, size optimization is carried out to find thickness while stiffness constraints are satisfied. The final parting lines are determined by shape optimization.

• 대한기계학회논문집A
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• 제35권2호
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• pp.213-221
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• 2011

알루미늄 재질의 도시철도차량 차체의 경량화를 위해 이중 판재구조로 이루어진 철도차량용 알루미늄 압출재의 최적설계를 수행하였다. 위상최적설계 기법을 이용하여 알루미늄 차체에서 가장 큰 중량을 차지하는 하부 프레임 베이스 플레이트의 경량화된 위상을 도출하였고, 이를 기반으로 압출재 부재별 치수 최적화를 수행하였다. 하부 프레임 다음으로 큰 중량을 차지하는 측면 프레임 압출재에 대해서는 치수 최적화를 통하여 경량설계를 수행하였다. 최적설계안과 현재 설계의 최대발생응력과 최대 변형량을 비교하여 최적설계결과의 타당성을 검증하였다. 이 과정을 통하여 언더프레임과 사이드프레임의 중량을 현재보다 평균 12% 줄일 수 있었고, 차체 전체로는 8.5%의 경량화 효과를 얻었다.

• Steel and Composite Structures
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• 제19권1호
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• pp.75-92
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• 2015

In this paper, optimization of cylindrical shells under external pressure to minimize its weight has been studied. Buckling equations are based on standard of ABS underwater vehicles. Dimension and type of circumferential stiffeners, and its distance from each other are assumed as variables of optimization problem. Considering the extent of these variables, genetic algorithms have been used for optimization. To study the effect of hydrostatic pressure on the shell and its fabrication according to the existing standards, geometrical and construction as well as stress and buckling constraints have been used in optimization algorithm and also penalty functions are applied to eliminate weak model. Finally, the best model which has the minimum weight considering the applied pressure has been presented.