• 월간 기계설비
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• s.35
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• pp.84-96
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• 1993

본 연구는 '초고층 아파트 최적 설비시스템 개발'의 제2차년도 연구로서 아직까지 국내에서 확립되어 있지 않은 초고층 아파트 급수설비 시스템 및 수격방지 시스템의 모델정립과 연돌효과에 의한 열손실 추정 및 적정 설계 지침 설정에 관한 연구를 수행하였다. 이를 위하여 이론 해석 및 현장실험을 수행하였고, 결과분석을 통하여 최적화 설계방안도 아울러 도출하였다. 급수설비 분야에서는 각종 급수 시스템의 해석 및 비교를 통한 효율적인 시스템의 설계 및 선정방법을 제시 하였고, 실제 초고층 아파트에 대한 수격현상 해석 및 실험을 통하여 수격작용의 영향을 감소시킬 수 있는 설계방안을 검토하였다. 또 입주중인 초고층 아파트 현장에서의 실측을 통하여 건물의 높이에 따라 불균일한 틈새가 있는 일반적인 경우에 대한 모델을 정립하였고, 수치해석을 통한 수직통로 내의 실제 열유동 현상을 정량화하고 설계지침을 제시하였다. 결과로서 각종 급수시스템의 해석을 위한 프로그램을 개발하였고, 수격의 발생을 억제하기 위한 최적 밸브 폐쇄형태를 제시하였으며, 초고층 건물의 내외부에 형성되는 압력차와 유인풍량 및 열손실량 사이의 관계식을 얻었다.

• Proceedings of the KIEE Conference
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• 2015.07a
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• pp.1088-1089
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• 2015

본 논문에서는 태양광발전시스템의 발전 효율을 극대화하기 위한 태양전지 모듈의 배면온도를 낮출 수 있는 부유구조물의 최적화 설계에 대한 것이다. 저수지 수면은 태양에너지를 흡수하게 되면 물 온도의 상승으로 밀도저하가 발생되고 저수지의 수면이 최상층에 위치하여 지속적으로 태양에너지가 흡수는 경우 최상층의 수면온도가 $60^{\circ}C$ 이상 상승하게 된다. 이는 태양전지 모듈의 배면온도 상승을 주도하여 시스템 발전량의 감소원인으로 작용한다. 수상 태양광발전시스템의 효율 향상을 위해 태양전지 모듈의 온도 저하가 반드시 필요하고, 더불어 저수지 지리적 요건에 따른 바람의 영향 등을 고려한 태양광발전 부유구조물 최적 설계가 요구된다. 열전달 수치해석을 통해 태양광발전 구조물에 대한 최적설계, 태양전지 모듈의 온도 측정 및 성능 검증을 통해 태양광발전 구조물의 상하단의 높이의 최적 설계 조건을 확립하였다.

• Journal of the Korean Institute of Telematics and Electronics
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• v.21 no.3
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• pp.60-65
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• 1984

In this paper, we have used symmetrical GaAs/(Ga, Al) As DH-LED as a model for the optimization of frequency response which is the most important design parameter of the optical communication-LED. And optimum design parameters have been chosen to improve performance factors of the DH-LED by computer simulation. This is for the purpose of systematic consideration of the interrelation of the physical parameters such as impurity concentration of the active layer, thickness of the active layer, minority carrier lifetime, space charge capacitance and injected current density.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1968-1969
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• 2011

본 논문에서는 패턴 인식을 위한 다중 출력을 가지는 Interval Type-2 퍼지 집합을 이용한 퍼지 집합 기반 퍼지 뉴럴 네트워크를 소개한다. Interval Type-2 퍼지 집합 기반 퍼지 뉴럴 네트워크는 각 입력 변수에 따른 서로 분리된 입력 공간을 분할함으로서 네트워크 및 규칙을 구성한다. 규칙의 전반부는 퍼지 입력 공간을 개별적으로 분할하여 표현하고, 각 공간은 Interval Type-2 퍼지 집합으로 구성된다. 규칙의 후반부는 패턴 인식을 위한 다중 출력을 가지며 Interval 집합을 이용하여 다항식으로서 표현된다. 다항식의 계수인 연결가중치는 오류역 전파 알고리즘을 이용하여 학습한다. 또한 실수 코딩 유전자 알고리즘을 이용하여 제안된 네트워크를 최적화한다. 제안된 네트워크는 표준 모델로서 널리 사용되는 수치적인 예를 통하여 평가한다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.29 no.11 s.242
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• pp.1445-1454
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• 2005

In order to minimize warping deformation which is an essential factor in the failure of injection molding parts, this study proposes an optimization design method fer determining design variables of injection molding parts. First, using a commercial package program for injection molding analysis, namely, Computer Aided Plastics Application(CAPA), we investigate the effects of parameters of injection molding process. Next, an optimum design process is established by interfacing CAPA to PQRSM embedded in EMD10S, a design framework developed by the conte. of innovative Design Optimization Technology(iDOT). PQRSM is a very efficient sequential approximate optimization algorithm. Optimum design results demonstrate the effectiveness of the design method suggested in this study by showing that the results of the optimum design is better than those of the initial design. It is believed that the proposed methodology can be applied to other injection molding design applications.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.16 no.3
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• pp.293-302
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• 2004

In this study the optimization of plate-fin type heat sink for the thermal stability is peformed numerically. The optimum design variables are obtained when the temperature rise and the pressure drop are minimized simultaneously. The flow and thermal fields are predicted using the finite volume method and the optimization is carried out by using the sequential quadratic programming (SQP) method which is widely used in the constrained non-linear optimization problem. The results show that when the temperature rise is less than 34.6K, the optimal design variables are as follows; B$_1$=2.468mm, B$_2$=1.365mm, and t=10.962mm. The Pareto optimal solutions are also presented for the pressure drop and the temperature rise.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.36 no.4
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• pp.385-390
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• 2012

A radial heat sink, adopted to LED(light emitting diode) downlight, was optimized. Discrete transfer radiation model (DTRM) was used to calculate radiation heat transfer, and numerical model was verified with experimental results. The effects of number of fin, long fin length and middle fin length on overall thermal resistance and radiation heat transfer were analyzed. As the emissivity increased, thermal resistance decreased due to the increment of radiation heat transfer. The radial heat sink was optimized and optimum number of long fins is 19~28, optimum length of long fin is about half of radius of heat fink and optimum fin ratio is 0.4~0.7.

• Journal of the Korea Concrete Institute
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• v.26 no.3
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• pp.401-409
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• 2014

This research develops tools and strategies for optimizing RC column sections applied in tall buildings. Optimization parameters are concrete strength and section shape, the objective function for which is subject to several predefined constraints drawn from the original structural design. For this purpose, we developed new components for StrAuto, a parametric modeling and optimization tool for building structure. The components receive from external analysis solvers member strengths calculated from the original design model, and output optimized column sections satisfying the minimum cost. Using these components, optimized sections are firstly obtained for each predefined concrete strength applied to the whole floors in the project building. The obtained results for each concrete strength are comparatively examined to determine the fittest sections which will also result in the fittest vertical zoning for concrete strength. The main optimization scenario for this is to search for the vertical levels where the identical optimized sections coincide for the two different concrete strengths in concern, and select those levels for the boundaries where a concrete strength will be changed to another. The optimization process provided in this research is a product of an intensive development designed for a specific member in a specific project. Thus, the algorithm suggested takes on a microscopic and mathematical approach. However, the technique has a lot of potential that it can further be extensively developed and applied for future projects.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.9 no.3
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• pp.57-64
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• 1989

This study presents a reliability-based optimum design of reinforced concrete frames, in which the AFOSM and SOSM methods are applied for the evaluation of the failure probabilities, and the sequential linear programming method is used as a practical approach to the system optimization. One-story two-bay reinforced concrete frame is chosen for the numerical illustration of the proposed reliability-based optimum design. As a result, it is found that the proposed procedure for the reliability-based optimization of RC frames could provide the accurate estimation of the optimal level of safety, and appears applicable to real structures with reasonable complexity. It is shown in the paper that the probability distributions of the basic random variables and the uncertainties of the applied loadings and material strengths may have great effect on the optimum design, but the AFOSM and SOSM methods do not show significant discrepancy in the optimum design results, but the former appears more realistic and time saving than the latter for this specific study.

• Journal of Korean Tunnelling and Underground Space Association
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• v.21 no.1
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• pp.177-188
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• 2019

The purpose of the optimization of the installation of supply/exhaust ports for tunnels with transverse ventilation system is to supply fresh air from outside to inside of tunnels uniformly and exhaust pollutant from tunnels properly for creating safe and clean environment for tunnel users. For this purpose, a ventilation port area optimization program was developed to obtain a uniform supply or exhaust air volume inside a great depth double deck tunnel with transverse ventilation system. In order to area optimize the developed port sizing program, the wind velocity was measured in the duct of the currently operated tunnel with semi-transverse ventilation. Also 3D cfd was performed on the same tunnel and cfd results were compared to the measured value. As a result, the error rate between the predicted value from the program and measured value was 6.72%, while the error rate between the predicted value from the program and 3D cfd analysis value was 4.86%. Both of comparison results show less than 10% of error rate. Thus It is expected that supply/exhaust port optimization design of transverse ventilation tunnel can be possible with using this large exhaust port area optimization program.