As a safety device, a rupture disc are used to control pressure to minimize the explosion risk once the internal pressure of high pressure equipment exceeds a critical level. In this paper, optimization method was developed to secure optimal design of domed Rupture disks. The parameter analysis was performed through design of experiment to parameter of Rupture disk made of AISI 316.The Diameter, Thickness and Hight of Rupture disk were selected as design parameters for design parameter analysis. The results of parameter analysis revealed that the Diameter, thickness and hight were burst pressure-sensitive design parameters. Based on the valid performance factors, a regression equation to predict its performance was deducted and using the equation, an optimal design. And a sample model was fabricated, followed by burst pressure testing, after optimal design and analytical verification. In this research, it is verified that the optimal design method and the credibility of the analysis of this study is deemed very high. Furthermore, utilizing this mechanism would inspect the effect of the design parameter performance and increase the credibility and efficiency of a design.

Engineering design involves making numerous decisions as the design process. These decisions can be broadly categorized into selection decisions and compromise decisions. The outcomes of these decisions heavily depend on the designer's intentions, highlighting the need to systematically and accurately incorporate the designer's intentions. The Analytic Hierarchy Process (AHP) is a design technique that systematically reflects the designer's intentions by hierarchically analyzing and evaluating ambiguous decision problems. Therefore, in this study, effective optimal structure designs that maximally reflect the designer's intentions were confirmed by introducing AHP (Analytic Hierarchy Process) and Neural Network into the foundational decision-making process of engineering design.

본 논문에서는 초고층 건물의 철근콘크리트 아웃리거 벽체 개구부의 최적설계를 위한 수학적 최적화 프레임워크를 제시하였다. 전용 유한요소해석 프로그램을 이용하여 아웃리거 벽체를 해석하였으며 깊은 보의 스트럿-타이 거동을 고려하여 개구부를 배치하였다. 최적화를 위해 파이썬 SciPy 라이브러리 중 순차이차계획법(Sequential Quadratic Programming)을 이용하여 제약 경계 최적화를 수행 하였다. 최적화에 필요한 미분가능한 연속 함수를 얻어내기 위해 선형 보간법을 사용하였으며, 최적화 프로그램의 효율성을 위해 데이터베이스를 이용하였다. 2변수 최적화의 결과를 탐색 알고리즘의 이동 경로를 통해 살펴본 결과 알고리즘이 최적화된 결과를 효율적으로 찾아냄을 확인하였다. 그리고 개구부의 폭을 모두 같게 설정한 것이 아닌 각각의 개구부의 크기를 개별 변수로 설정하였을 경우 목적함수의 값이 최소화되어 더 우수한 최적화 결과를 도출함을 확인하였다. 또한, 최적화의 과정에 있어 데이터베이스를 이용할 경우 최적화 시간을 효과적으로 단축시킬 수 있음을 확인하였다.

본 연구에서 적용한 SMRPF system은 구조물 접합부의 패널존을 고려하는 동시에 지진하중에 대하여 각층별 전단력을 산정하여 댐퍼의 감쇠력과 변위를 결정해준다. 이는 내진설계가 반영되지 않은 구조물에 적용할 경우 부재단면을 변경하지 않고 내진성능을 확보 할 수 있는 감쇠기의 역량 결정이 가능함을 보여 주었다. 또한 본 논문에서 적용한 유전자 알고리즘을 통해 최적설계를 수행한 결과, 무보강 구조물에 비해 점성감쇠기와 패널존을 고려한 SMRPF 강골조 구조물의 총 중량이 약 50%이상 감소되는 것이 확인되었다.

본 연구에서는 전 바나듐 레독스 흐름전지(VRFB)에 적용하기 위한 세공충진 음이온교환막의 최적 설계 조건을 도출하고자 하였다. 실험결과를 통해 VRFB 충방전 성능에 가장 지대한 영향을 미치는 막 설계인자는 이온교환용량, 지지체의 기공율 및 가교도임을 확인할 수 있었다. 즉, 상기 인자들에 의해 VRFB의 ohmic loss와 활물질의 crossover가 결정되었다. 또 한 세공충진 음이온교환막의 제조 시 낮은 가교도에서 이온교환용량을 감소시키는 것과 높은 이온교환용량에서 가교도를 증 가시키는 두 가지 방안을 검토하였다. 그 결과 충분히 높은 이온교환용량에서 가교도를 최적화 하는 것이 VRFB 충방전 성능 관점에서 바람직한 것으로 판단되었다.

In the power steering systems used for automobiles, because of its small size and low noise, a balanced type hydraulic vane pump is mainly used as a power source. Therefore it is requested to research on the lubrication characteristics of a oil hydraulic vane pump which is the key part to improve its performance. The performance of a oil hydraulic vane pump is influenced by the lubrication characteristics of the critical sliding components. Thus, lubrication characteristics between the shaft and the journal bearing have to be researched for the design and the performance improvement of a oil hydraulic vane pump. Therefore, in this paper, it is theoretically investigated that the lubrication characteristics between the shaft and the journal bearing of a balanced type oil hydraulic vane pump for power steering systems. The results demonstrate that lubrication characteristics are significantly influenced by the clearance between the shaft and the journal bearing.

The tubular link chain conveyor works under very extreme conditions such as high tensile load, friction, and dangerous operating environments. In this study, we propose an optimal design plan for reducing cost and improving performance through weight reduction of tubular link chain conveyors for sludge transport. For light weight of tubular link chain conveyor, the optimization software using SHERPA algorithms, HEEDS was used in conjunction with ANSYS Mechanical V14.5, which is widely used in structural analysis, to achieve optimal tubular link chain. Through the optimization process, 19% light weight was achieved.

A study on the weight reduction of a motor shaft in electric vehicle by using optimum design technique was carried out. The structural analysis of a motor shaft was performed by using ANSYS to investigate the structural safety. We also used HEEDS to find the optimal hollow shaft thickness. When the material of the hollow shaft is changed to SCM822H by using ANSYS 14.5 and HEEDS MDO, the weight could be reduced by about 53 % compared to the conventional solid one. From this study, the optimized dimensions of a hollow shaft were determined for light weight design.

본 논문에서는 복합재 판 스프링의 설계 최적화를 위해 유전자 알고리즘을 사용한 적층 최적화 과정을 제시하였다. 다목적 소형 승합 자동차 판 스프링을 유한요소모델로 구성하여 초기 설계를 검증한 이후, 유전자 알고리즘을 통해 복합재료의 적층수와 적층각도를 최적화하는 과정을 기술하였다. 최적화 과정을 통해 판 스프링의 하중 감소과정, 반복수에 따라 강 구조의 해석 결과와 비교하였다. 더불어 유전자 알고리즘을 통해 최적화된 적층 시퀀스를 구조에 적용하여 구조의 건전성을 검증하기 위해 유한요소 모델로 구성하여 안전여유를 계산하였다. GA를 적용할 때, 복합재료 판 스프링의 적층 두께와 적층각을 획득하였으며, 이는 적절한 강도와 강성으로 최소 무게를 달성하는데 기여한다. 동일한 설계 매개 변수 및 최적화 조건에서 강철된 판 스프링을 복합재 판 스프링으로 교체하면 65.6%의 중량이 감소한다.

The various hydraulic equipments including main control valves are composed of relatively long replacement parts, so the stability is very important. These systems ensure system safety by not delivering pressure to actuators when pressure exceeds the limiting pressure. According to various hydraulic equipments, the required pressure of every hydraulic actuators are differenced. So the optimal design of the main valve is indeed needed. In the previous study, the detail shapes and the boundary conditions of the main control valve were studied by CFD analysis using FLUENT. Based on the previous study, the optimal design of the main control valve is done by applying the parametric modeling technique and then the optimum design of the main control valve is investigated by CFD analysis.

Direct spring loaded pressure relief valve(DSLPRV) is a safety valve to relax surge pressure of the pipeline system. DSLPRV is one of widely used safety valves for its simplicity and efficiency. However, instability of the DSLPRV can caused by various reasons such as insufficient valve volume, natural vibration of the spring, etc. In order to improve reliability of DSLPRV, proper selection of design factors of DSLPRV is important. In this study, methodology for selecting design factors for DSLPRV was proposed. Dynamics of the DSLPRV disk was integrated into conventional 1D surge pressure analysis. Multi-objective genetic algorithm was also used to search optimum design factors for DSLPRV.

As a preparation of a design standard regarding road facilities in terms of reliability based optimum design examples, such as cantilever columns for traffic lights, optimum design in deterministic and probabilistic ways for the foundation of traffic lights poles are proposed. Most of the previous study have focused on the foundation surrounded by cohesionless soil. However, the design would be governed by risky condition. Therefore the resistance by clay-soil is investigated compared with other design specifications. In deterministic optimization, GRG method is applied. It is found that both geometries of deep and shallow foundation provides optimum values. The resistance of cohesive soil is selected to represent the ultimate limit states, in terms of sliding, overturning and bearing pressures from super structures to the foundation under external loads. Example foundations with varying height of columns for traffic lights are optimized about 30% decreased embedded depth of foundation. The optimum coefficients of resistant and load factors may need to be developed with design load combinations in order to prepare design specifications as the next step.

Surge pressure is created by rapid change of flow rate due to operation of hydraulic component or accident of pipeline. Proper control of surge pressure in distribution system is important because it can damage pipeline and may have the potential to degrade water quality by pipe leakage due to surge pressure. Surge relief valve(SRV) is one of the most widely used devices and it is important to determine proper parameters for SRV’s installation and operation. In this research, determining optimum parameters affecting performance of the SRV were investigated. We proposed the methodology for finding combination of parameters for best performance of the SRV. Therefore, the objective function for evaluate fitness of candidate parameters and surge pressure simulation software was developed to validate proposed parameters for SRV. The developed software was integrated into genetic algorithm(GA) to find best combination of parameters.

Structural dynamic system involves random variables conditions such as material property, geometric parameters and applied loads. This uncertainties result from the structural parameter are carefully considered the dynamic structural response in displacement, stress, and natural frequencies. The random vibrational system must be designed to withstand a certain amount of the fluctuation with respect to the uncertainties. Harmonic response of a spring-mass system is mathematically modelled with the probabilistic finite element method using the Monte Carlo simulation. The aim of this paper is to find the optimal lowest frequency for the spring-mass system with random input variables and response parameters to the displacements. The probabilistic design is carried out using ANSYS probabilistic design module in a commercial application software and then the optimal design is sequentially solved. An efficient and practical optimal design evaluation method is proposed for the design of the harmonic system. The numerical results are obtained where the next highest frequency of the system and displacements treated as constraints.

As a preparation of a design standard regarding road facilities, such as cantilever columns for traffic lights, optimum design and risk assessment for foundation of street lights on highways are proposed. The preliminary evaluation of optimization with reliability assessment resultantly makes it possible to reduce not only the duration of construction but the cost of construction as well. Ultimate limit states and constraints functions are selected for the sliding, overturning and settlement of the foundation under external loads from super and sub-structures itself. An example foundation under the super structure of height 12m, is optimized as 30% decreased embedded depth of foundation, in which as increasing the depth of embedded connection parts, the necessary depth of foundation is deceased. However, the optimum depths and the reliability indices are sensitively dependent with earth properties and dimensions of foundation.

본 논문에서는 Goal-Driven Optimization(GDO)을 바탕으로 한 양방향 차도선의 차량갑판의 구조설계에 대하여 최적화를 수행하였다. 차량갑판의 강도와 변형에 대한 영향을 검토하여 경제적 비용을 절약할 수 있는 최적점을 결정하였다. 실험계획법(DOE)과 반응표면법을 바탕으로 한 갑판두께를 110% 증가시켜 차량갑판의 강도와 강성을 높일 수 있었다. 이 결과에 대한 회귀분석을 수행하여 3차 다항식 모형인 최적 회귀모형식으로 제안하며 결정계수 R² 0.98정도로 나타내어 신뢰성을 확보할 수 있었다.