• 한국자동차공학회논문집
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• 제6권4호
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• pp.76-85
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• 1998

Recently, Genetic Algorithm(GA) is widely adopted into a search procedure for structural optimization, which is a stochastic direct search strategy that mimics the process of genetic evolution. This methods consist of three genetics operations maned selection, crossover and mutation. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GA, being zero-order method, is very simple. So, they can be easily applicable to wide area of design optimization problems. Also, owing to multi-point search procedure, they have higher probability of converge to global optimum compared to traditional techniques which take one-point search method. In this study, a method of finding the optimum values of suspension parameters is proposed by using the GA. And vehicle is modelled as planar vehicle having 5 degree-of-freedom. The generalized coordinates are vertical motion of passenger seat, sprung mass and front and rear unsprung mass and rotate(pitch) motion of sprung mass. For rapid converge and precluding local optimum, share function which distribute chromosomes over design bound is introduced. Elitist survival model, remainder stochastic sampling without replacement method, multi-point crossover method are adopted. In the sight of the improvement of ride comfort, good result can be obtained in 5-D.O.F. vehicle model by using GA.

• Structural Engineering and Mechanics
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• 제81권6호
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• pp.677-689
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• 2022

Generally, the goal of seismic retrofit design of an existing structure using energy dissipation devices is to determine the optimum design parameters of a retrofit device to satisfy a specified limit state with minimum cost. However, the presence of multiple parameters to be optimized and the computational complexity of performing non-linear analysis make it difficult to find the optimal design parameters in the realistic 3D structure. In this study, genetic algorithm-based optimal seismic retrofit methods for determining the required number, yield strength, and location of steel slit dampers are proposed to retrofit an asymmetric soft first-story structure. These methods use a multi-objective and single-objective evolutionary algorithms, each of which varies in computational complexity and incorporates nonlinear time-history analysis to determine seismic performance. Pareto-optimal solutions of the multi-objective optimization are found using a non-dominated sorting genetic algorithm (NSGA-II). It is demonstrated that the developed multi-objective optimization methods can determine the optimum number, yield strength, and location of dampers that satisfy the given limit state of a three-dimensional asymmetric soft first-story structure. It is also shown that the single-objective distribution method based on minimizing plan-wise stiffness eccentricity turns out to produce similar number of dampers in optimum locations without time consuming nonlinear dynamic analysis.

• 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.

• 대한조선학회논문집
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• 제35권1호
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• pp.80-87
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• 1998

선미의 불균일유동장에서 작동하는 박용 프로펠라의 구조적 안전을 평가하는 강도해석 프로그램을 개발하였다. 이 논문은 여러 가지 선종에 대하여 실선자료를 기초로 하여 선속과 스큐각의 관계를 제시하였고, 대형 고속 컨테이너선박의 초기설계시 강도측면에서 스큐각의 최적화를 위하여 여러 가지 스큐각에 대한 프로펠라 강도해석을 수행하였다. 프로펠라 날개는 양력면이론으로부터 계산된 표면압력과 원심력을 받고 있다. 선박의 전진 및 후진시의 프로펠라날개의 구조응답을 구하기 위하여 정적 구조해석을 수행해서 그 결과를 기초로 피로강도를 평가하였다.

• Smart Structures and Systems
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• 제19권6호
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• pp.643-652
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• 2017

Pitched roof frames are widely used in construction of the industrial buildings, gyms, schools and colleges, fire stations, storages, hangars and many other low rise structures. The weight and shape of the gable frames with tapered members, as a familiar group of the pitched roof frames, are highly dependent on the properties of the member cross-sectional. In this work Enhanced Colliding Bodies Optimization (ECBO) is utilized for optimal design of three gable frames with tapered members. In order to optimize the frames, the design is performed using the AISC specifications for stress, displacement and stability constraints. The design constraints and weight of the gable frames are computed from the cross-section of members. These optimum weights are obtained using aforementioned optimization algorithms considering the cross-sections of the members and design constraints as optimization variables and constraints, respectively. A comparative study of the PSO and CBO with ECBO is also performed to illustrate the importance of the enhancement of the utilized optimization algorithm.

• 한국도로학회논문집
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• 제11권4호
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• pp.9-15
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• 2009

본 연구는 도로안전 시설물의 풍하중에 의한 손상발생 사례를 토대로 현행 도로안전 시설물의 구조적 휨 성능을 평가하고 이에 대한 부재별 휨 성능개선을 위한 연구이다. 본 연구의 대상구조물로는 대표적인 도로안전시설물이며 풍하중에 대한 선행 피해사례가 밝혀진 방음벽 지주프레임을 대상으로 고려하였으며 이들 지주프레임의 휨 구조성능 및 형상설계에 대한 평가를 우선적으로 수행하였다. 본 연구평가 결과에서 나타난 현행 보강재의 구조적 성능을 토대로 중량 대비 구조적 강성이 우수한 유리섬유 강화플라스틱 (GFRP)을 활용하여 다양한 보강 형태에 따른 성능개선방법을 해석 및 실험적 연구를 통하여 수행하였다. 그 결과 효율적 성능개선을 위한 GFRP 적용방법의 경우 구조적, 시공적 측면에서 효율적인 것으로 평가되었고 자체적인 형상단면 최적설계를 통한 개선방법도 성능보강에 효과적인 것으로 해석적으로 평가되었다. 본 연구에서 적용된 GFRP 단면보강 및 최적형상설계 연구는 향후 노후 도로안전 시설물의 풍하중 또는 태풍으로 인한 피해예방을 위한 기초자료로서 효율적으로 활용될 수 있을 것으로 판단된다.

• 한국해양공학회지
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• 제30권1호
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• pp.10-17
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• 2016

This paper reports a simulation-based design method for the optimized arrangement design of buoyancy modules in a marine riser system. A buoyancy module is used for the safe operation and structural stability of the riser. Engineers design buoyancy modules based on experience and experimental data. However, they are difficult to design because of the difficulty of conducting real sea experiments and quantifying the data. Therefore, a simulation-based design method is needed to tackle this problem. In this study, we developed a simulation-based design algorithm using a multi-body dynamic simulation and genetic algorithm to perform optimization arrangement design of a buoyancy module. The design results are discussed in this paper.

• 한국군사과학기술학회지
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• 제3권2호
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• pp.179-188
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• 2000

Multi-disciplinary optimization design concept can provide a solution to many engineering problems. In the field of structural analysis, much development of size or topology optimization has been achieved in the application of research. This paper demonstrates an optimum design of a multi-layer cylindrical tube which behaves thermoelastically. A multi-layer cylindrical tube that has several different material properties at each layer is optimized within allowable stress and temperature range when mechanical and thermal loads are applied simultaneously. When thermal loads are applied to a multi-layer tube, stress phenomena become complicated due to each layer's thermal expansion and the layer thicknesses. Factors like temperature; stress; and material thermal thicknesses of each tube layer are very difficult undertaking. To analyze these problems using an efficient and precise method, the optimization theories are adopted to perform thermoelastic finite element analysis.

• 한국해양공학회지
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• 제20권3호
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• pp.96-102
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• 2006

The butterfly valve has been used to control the switch and flux of fluid. While research about the characteristics of butterfly valve fluid have been done, study of the optimum design, considering structural safety, must keep pace with it. Thus, a method is proposed for an optimum butterfly valve. Initially, the stability of the butterfly valve, using FEM and CFD, is evaluated, and a variable is selected using the initial analysis results. Also, the shape optimization design is accomplished using the DACE model. In terms of research results, the experiment satisfied the objective and limitation functions.