• 대한조선학회 특별논문집
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• 대한조선학회 2008년도 특별논문집
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• pp.106-111
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• 2008

A hull form is 181K DWT Bulk Carrier, of which new design and hull form have been developed using CFD tools and model tests. The basic concept design of hull form has been carried out with considering the factors, which are a lot of influence of the wave and viscosity resistance. The considered factors of particular are LCB, DLWL shape, tern and stem profile, Cp-curve shape, etc. Numerical calculations are carried out in the initial design stage and experimental model tests are also carried out in towing tank of MOERI. The variation of the significantly effective characteristics is carried out to achieve optimized hull form. The results from numerical calculations and model test as well as the design procedures to obtain an optimized hull form resent in this paper.

• Advances in Computational Design
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• 제1권3호
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• pp.235-251
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• 2016

We have performed a design optimization of a stiffened panel with curvilinear stiffeners using an artificial neural network (ANN) residual kriging based surrogate modeling approach. The ANN residual kriging based surrogate modeling involves two steps. In the first step, we approximate the objective function using ANN. In the next step we use kriging to model the residue. We optimize the panel in an iterative way. Each iteration involves two steps-shape optimization and size optimization. For both shape and size optimization, we use ANN residual kriging based surrogate model. At each optimization step, we do an initial sampling and fit an ANN residual kriging model for the objective function. Then we keep updating this surrogate model using an adaptive sampling algorithm until the minimum value of the objective function converges. The comparison of the design obtained using our optimization scheme with that obtained using a traditional genetic algorithm (GA) based optimization scheme shows satisfactory agreement. However, with this surrogate model based approach we reach optimum design with less computation effort as compared to the GA based approach which does not use any surrogate model.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 추계학술대회논문집
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• pp.576-581
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• 2002

The suspension is a structure that supports reading, writing head in information storage device. In order to develop the information storage device of high track density, it is necessary to study about the suspension. To satisfy operation condition of information storage device, the suspension shape is very important since it correlates to dynamic characteristics. Therefore, it is necessary to analyze the dynamic characteristics by using finite element analysis and to optimize the suspension of information storage device using size optimization and topology optimization. The suspension has various modes according to different kinds of frequency bandwidth. Sway mode and second torsion mode are especially critical among them. In this paper, we investigated method to improve bandwidth of sway and second torsion mode of HDD and ODD suspension by using size optimization and topology optimization.

• Structural Engineering and Mechanics
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• 제53권5호
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• pp.847-865
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• 2015

This paper presents the application of a recently developed meta-heuristic algorithm, called Colliding Bodies Optimization (CBO), for size and topology optimization of steel trusses. This method is based on the one-dimensional collisions between two bodies, where each agent solution is considered as a body. The performance of the proposed algorithm is investigated through four benchmark trusses for minimum weight with static and dynamic constraints. A comparison of the numerical results of the CBO with those of other available algorithms indicates that the proposed technique is capable of locating promising solutions using lesser or identical computational effort, with no need for internal parameter tuning.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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• pp.565-583
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• 1993

In order to reduce the production cost and improve the quality of dairy feed, several dairy feed mill model suitable for Korean farm size are developed. Also, capital requirement and operating costs of the model mill are analyzed. And these analyzed data are compared with the commercial feed production cost, in order to test whether the model mills are suitable or not in Korean dairy farm. Also optimum model is recommended depending on size of dairy farm. As a result, developed model mill(TMR) is very useful in Korea dairy farm not only reduce production cost up to 78% but also improve the qualities.

• Korean Chemical Engineering Research
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• 제59권3호
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• pp.455-466
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• 2021

Micro and nanoparticles of Finasteride were prepared by gas-antisolvent method. The influence of process parameters such as pressure (100, 130 and 160 bar), temperature (308, 318 and 328 K) and solute concentrations (10, 25 and 40 mg/ml) on mean particle size was studied by Box-Behnken design. As ANOVA results indicated, the highest influence in production of smaller particles was attributed to the pressure. Optimum condition leading to the smallest particle size was as follows: initial solute concentration, 10 mg/ml; temperature, 308 K and pressure, 160 bar. The particles were evaluated with FTIR, SEM, DLS, XRD as well as DSC. The analyses revealed a size decrease in the precipitated Finasteride particles (232.4 nm, on mean) via gas-antisolvent method, as compared to the original particles (55.6 ㎛).

• 한국전산구조공학회논문집
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• 제19권2호
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• pp.195-202
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• 2006

박판 구조물은 자동차를 비롯하여 항공기, 인공위성, 선박 등의 운송 수단과 건축물의 돔과 같이 효율적으로 활용되어지고 있으며 동시에 경량화를 필요로 하는 경우 널리 사용되는 구조물이다. 엔진, 변속기 등의 회전체의 부품을 보호하는 박판 구조물인 자동차 후드에서의 새로운 보강재 형상을 제시하였다. 자동차 후드는 엔진 룸에 장착되어 있는 회전체의 진동 영향을 민감하게 받아 공진현상이 발생할 우려가 있다. 따라서 설계하중을 지지할 강성을 가지며 동적 특성이 고려되어야 한다. 즉, 강성을 유지하면서 공진에 의한 진동도 고려해야 한다. 이는 곧 승차감과 직결된 중요한 문제이다. 그러므로 최적의 강성증대 설계결과를 얻기 위해서는 정적 동적 강성평가와 함께 고유진동수를 고려한 보강재의 최적설계가 도입되어야 한다. 본 연구에서는 고유진동수를 고려한 대표적인 박판 구조물인 자동차 후드의 보강재 위상을 구하고, 도출된 위상에서 보강재의 형상 최적 설계 후 제시된 보강재 단면의 최적 치수를 다구찌 방법을 이용한 직교 배열표상에서의 각 설계변수의 수준과 최적의 설계변수의 조건으로 구하였다.

• 상하수도학회지
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• 제12권1호
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• pp.70-80
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• 1998

Many algorithms to find a minimum cost design of water distribution network (WDN) have been developed during the last decades. Most of them have tried to optimize cost only while satisfying other constraining conditions. For this, a certain degree of simplification is required in their calculation process which inevitably limits the real application of the algorithms, especially, to large networks. In this paper, an optimum design method using the Genetic Algorithms (GA) is developed which is designed to increase the applicability, especially for the real world large WDN. The increased to applicability is due to the inherent characteristics of GA consisting of selection, reproduction, crossover and mutation. Just for illustration, the GA method is applied to find an optimal solution of the New York City water supply tunnel. For the calculation, the parameter of population size and generation number is fixed to 100 and the probability of crossover is 0.7, the probability of mutation is 0.01. The yielded optimal design is found to be superior to the least cost design obtained from the Linear Program method by $4.276 million.

• 한국전산구조공학회논문집
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• 제13권3호
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• pp.285-294
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• 2000

계류돌핀의 강관말뚝식 하부구조에 대한 실용적 설계최적화 과정을 제시하고, 수치 예를 통하여 유용성을 평가하였다. 유한차원 최적설계 문제의 정식화에서, 말뚝들을 몇 개의 그룹으로 구분하여 이들의 기하학적 위상과 단면의 치수를 설계변수로 활용하였다. 설계목적함수는 말뚝의 총 중량이며, 설계제약조건은 응력과 근입 깊이, 설계변수의 상한과 하한 등이다. 설계변수의 연계와 고정을 통해 몇 가지의 실용적 설계 대안을 검토하였다. 최적화 프로그램으로는, 순차2차계획법(SQP)을 사용하고 또 쉽게 얻을 수 있는 PLBA 및 IMSL 라이브러리의 DNCONF서브루틴을 이용하였다. 수치예제의 돌핀은 20개의 강관말뚝으로 하부구조를 형성하며, 이중 4개는 연직말뚝이고 16개는 경사말뚝이다. 다양한 대안 설계에서 성공적으로 최적해를 얻었으며, 실용적인 최적 설계과정 임을 확인할 수 있었다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2005년도 춘계 학술발표회 논문집
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• pp.359-366
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• 2005

Most engineering optimization are based on numerical linear and nonlinear programming methods that require substantial gradient information and usually seek to improve the solution in the neighborhood of a starting point. These algorithm, however, reveal a limited approach to complicated real-world optimization problems. If there is more than one local optimum in the problem, the result may depend on the selection of an initial point, and the obtained optimal solution may not necessarily be the global optimum. This paper describes a new harmony search(HS) meta-heuristic algorithm-based approach for structural size optimization problems with continuous design variables. This recently developed HS algorithm is conceptualized using the musical process of searching for a perfect state of harmony. It uses a stochastic random search instead of a gradient search so that derivative information is unnecessary. Two classical space truss optimization problems are presented to demonstrate the effectiveness and robustness of the HS algorithm. The results indicate that the proposed approach is a powerful search and optimization technique that may yield better solutions to structural engineering problems than those obtained using current algorithms.