• Title/Summary/Keyword: 최적구조설계

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Optimum Design of Truss Structures with Pretension Considering Bucking Constraint (프리텐션을 받는 트러스 구조물의 좌굴을 고려한 최적설계)

  • Kim, Yeon-Tae;Kim, Dae-Hwan;Lee, Jae-Hong
    • Journal of Korean Society of Steel Construction
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    • v.22 no.2
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    • pp.197-208
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    • 2010
  • An under-tension system is frequently employed for large-span structures to reduce the deflection and member size. In this study, a microgenetic algorithm was used to find the optimum cross-section of truss structures with an undertension cable under transverse loading. Maximum deflection, allowable stress, and buckling were considered constraints. The proposed approach was verified using a 10-bar truss sample that shows good agreement with the previous results. In the numerical results, minimum-weight design of the under-tension structure was performed for various magnitudes of pretension.

32비트 VLSI프로세서 HARP의 마이크로 아키텍츄어 최적설계에 관한 연구

  • Park, Seong-Bae;Kim, Jong-Hyeon;O, Gil-Rok
    • ETRI Journal
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    • v.11 no.4
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    • pp.105-118
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    • 1989
  • HARP(High performance Architecture for RISC type Processor)는 고유의 명령어 세트, 데이터 타입, 메모리 입출력, 예외 처리 기능을갖는 32비트 VLSI 프로세서 구조이다. 마이크로 아키텍츄어는 설계된 구조를 기대할 수 있는최고 성능을 갖도록 구조(architecture)와 구현(implementation) 사이의 최적 모델링을 통해 정의되는 구조체로서 구조의 개념 설계를 구현의 실물 설계로 변환 시켜주는 조율(tuning)모델이다. HARP의 고유한 명령어 세트를 비롯한 구조적 기능들을 최적 구현 하기위해 32비트 크기의 명령어 입력 유니트(Instruction Fetch Unit), 데이터 입출력 유니트(Data I/O Unit), 명령어/데이터 처리유니트(Instruction/Data Processing Unit), 예외 상황 처리 유니트(Exception Processing Unit)등 4개 유니트가 설계되었으며 이들 4개 유니트의 동작을 최대 속도로 유지시키기 위해 각급 주요 설계 변수들이 시뮬레이션을 통해 최적화 되었다. 유효 채널길이 $0.7\mum$급 3층 메탈 배선의 HCMOS(High performance CMOS)공정 기술을 구현 기준 기술로 사용하여 50MHz외 동작 주파수에서 최대50 MIPS(Million Instructions Per Second)의 성능을 갖도록 3단계 파이프라인이 설계되었다. 단일 위상의 50MHz클럭 입력과 동기화된 명령어/데이터 입출력을 위해 액세스 타임 20nsec이내의 고속 메모리 입출력 구조가 시뮬레이션되었으며 설계된 마이크로 아키텍츄어를 이용하여 HARP구조의 기대된 최대 성능을 검증하였다.

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Experimental Validation of Isogeometric Optimal Design (아이소-지오메트릭 형상 최적설계의 실험적 검증)

  • Choi, Myung-Jin;Yoon, Min-Ho;Cho, Seonho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.27 no.5
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    • pp.345-352
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    • 2014
  • In this paper, the CAD data for the optimal shape design obtained by isogeometric shape optimization is directly used to fabricate the specimen by using 3D printer for the experimental validation. In a conventional finite element method, the geometric approximation inherent in the mesh leads to the accuracy issue in response analysis and design sensitivity analysis. Furthermore, in the finite element based shape optimization, subsequent communication with CAD description is required in the design optimization process, which results in the loss of optimal design information during the communication. Isogeometric analysis method employs the same NURBS basis functions and control points used in CAD systems, which enables to use exact geometrical properties like normal vector and curvature information in the response analysis and design sensitivity analysis procedure. Also, it vastly simplify the design modification of complex geometries without communicating with the CAD description of geometry during design optimization process. Therefore, the information of optimal design and material volume is exactly reflected to fabricate the specimen for experimental validation. Through the design optimization examples of elasticity problem, it is experimentally shown that the optimal design has higher stiffness than the initial design. Also, the experimental results match very well with the numerical results. Using a non-contact optical 3D deformation measuring system for strain distribution, it is shown that the stress concentration is significantly alleviated in the optimal design compared with the initial design.

The Optimum Design of Truss Dome Structures by Evolution Strategy (진화전략을 이용한 트러스 돔 구조물의 최적설계)

  • Han, Sang-Eul;Kim, Man-Jung;Lee, Jae-Young;Ryu, Ji-Su
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2009.04a
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    • pp.396-399
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    • 2009
  • 본 논문의 연구 목적은 생물의 진화 현상을 모방한 진화전략 알고리즘을 이용하여 돔형 트러스 구조물을 최적화 설계하는 것이다. 최적화 방법으로 부재 단면적의 최적화 값을 찾음으로써 최적 목적값 또는 최소 구조물 중량을 산출하는데 목적이 있다. 진화전략 알고리즘은 1960년대 중반, 실수기반 매개변수의 최적화로부터 소개되어 1970년대 많은 발전을 하였다. 진화전략은 컴퓨터 시스템 최적화 알고리즘 연구분야에서 많이 활용되며, 더불어 사용되는 유전자 알고리즘과는 다른 몇 개의 연산자를 가지고 있다. 본 논문에서는 진화전략에서 사용되는 연산자를 소개하고 연산자간의 논리 흐름과 수치예제로써 최적설계의 적합성을 확인해볼 수 있다.

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Optimization to Control Buckling Temperature and Mode Shape through Continuous Thickness Variation of Composite Material (복합소재의 연속 두께 변화를 통한 좌굴온도 및 모드형상 최적화)

  • Lee, Kang Kuk;Lee, Hoo Min;Yoon, Gil Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.6
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    • pp.347-353
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    • 2021
  • In this study, we presented a novel size optimization framework to control the linear buckling temperature and several buckling modes of plates, by optimizing thickness values of composite structures for practical engineering applications. Predicting the buckling temperature and mode shape of structures is a vital research topic in engineering to achieve structural stability. However, optimizing designs of engineering structures through engineering intuition is challenging. To address this limitation, we proposed a method that combines finite element simulation and size optimization. Based on the idea that the structural buckling temperature and mode shape of a plate are affected by the thickness of the structure, the thickness values of the nodes of the target structure were set as the design variables in this optimization method; and the buckling temperature values, and buckling mode shapes were set as the objective functions. This size optimization method enabled the determination of optimal thickness distributions, to induce the desired buckling temperature values and mode shapes. The validity of the proposed method was verified in terms of their buckling temperature values and buckling mode shapes, using several numerical examples of rectangular composite structures.

Stiffness-based Optimal Design of Shear Wall-Frame Structure System using Sensitivity Analysis (민감도 해석을 이용한 전단벽-골조 구조시스템의 강성최적설계)

  • Lee Han-Joo;Kim Ho-Soo
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.19 no.1 s.71
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    • pp.63-71
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    • 2006
  • This study presents the effective stiffness-based optimal technique to control Quantitatively lateral drift for shear wall-frame structure system using sensitivity analysis. To this end, the element stiffness matrices are constituted to solve the compatibility problem of displacement degree of freedom between the frame and shear wall. Also, lateral drift constraint to introduce the approximation concept that can preserve the generality of the mathematical programming and can effectively solve the large scaled problems is established. And, the section property relationships for shear wall and frame members are considered in order to reduce the number of design variables and differentiate easily the stiffness matrices. Specifically, constant-shape assumption which is uniformly varying in size during optimal process is applied in frame structure. The thickness or length of shear wall can be changed depending on user's intent. Two types of 20 story shear wall-frame structure system are presented to illustrate the features of the stiffness-based optimal design technique.

Multi-component Topology Optimization Considering Joint Distance (조인트 최소거리를 고려한 다중구조물 위상최적설계 기법)

  • Jun Hwan, Kim;Gil Ho, Yoon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.35 no.6
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    • pp.343-349
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    • 2022
  • This paper proposes a new topology optimization scheme to determine optimized joints for multi-component models. The joints are modeled as zero-length high-stiffness spring elements. The spring joints are considered as mesh-independent springs based on a joint-element interpolation scheme. This enables the changing of the location of the joints regardless of the connected nodes during optimization. Because the joints are movable, the locations of the optimized joints should be aggregated at several points. In this paper, the novel joint dispersal (JD) constraint to prevent joint clustering is proposed. With the joint dispersal constraint, it is possible to determine the optimized joint location as well as optimized topologies while maintaining the minimum distance between each joint. The mechanical compliance value is considered as the objective function. Several topology optimization examples are solved to demonstrate the effect of the joint dispersal constraint.

Optimum Shape Design of Gearbox Housing for 5MW Wind Turbines (5MW급 풍력발전기용 기어박스 하우징의 형상 최적설계)

  • Jeong, Ki-Yong;Lee, Dae-Yeon;Choi, Eun-Ho;Cho, Jin-Rea;Lim, O-Kaung
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.25 no.3
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    • pp.237-243
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    • 2012
  • The thickness optimization of the gearbox housing for 5MW wind turbine is carried out with the help of the efficient structure analysis model and the approximation model of objective function. Wind turbine gearbox is a complex structural system composed of a number of gear trains, shafts, bearing and gearbox housing, requiring a tremendous number of elements for the structural analysis and design. In this paper, an effective analysis and design model considering the tooth stiffness of helical gears is proposed. It enables to significantly reduce the total element number and the analysis time. Through the numerical optimization of housing thickness making use of the effective gearbox model and the approximate model of objective function, the total weight of the gearbox housing is minimized. It has been observed from the numerical experiment that the approximation model is reliable and the optimization result is acceptable and verified analysis.

Optimal Design of Laminated Stiffened Composite Structures using a parallel micro Genetic Algorithm (병렬 마이크로 유전자 알고리즘을 이용한 복합재 적층 구조물의 최적설계)

  • Yi, Moo-Keun;Kim, Chun-Gon
    • Composites Research
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    • v.21 no.1
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    • pp.30-39
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    • 2008
  • In this paper, a parallel micro genetic algorithm was utilized in the optimal design of composite structures instead of a conventional genetic algorithm(SGA). Micro genetic algorithm searches the optimal design variables with only 5 individuals. The diversities from the nominal convergence and the re-initialization processes make micro genetic algorithm to find out the optimums with such a small population size. Two different composite structure optimization problems were proposed to confirm the efficiency of micro genetic algorithm compared with SGA. The results showed that micro genetic algorithm can get the solutions of the same level of SGA while reducing the calculation costs up to 70% of SGA. The composite laminated structure optimization under the load uncertainty was conducted using micro genetic algorithm. The result revealed that the design variables regarding the load uncertainty are less sensitive to load variation than that of fixed applied load. From the above-mentioned results, we confirmed micro genetic algorithm as a optimization method of composite structures is efficient.

Minimum Weight Design of Ship Structure by Reanalysis Technique (재해석기법에 의한 선체 최소중량설계)

  • S.W.,Park;J.K.,Paik;I.S.,Nho;H.S.,Lee
    • Bulletin of the Society of Naval Architects of Korea
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    • v.26 no.3
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    • pp.62-70
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    • 1989
  • For the conduct of optimum design for such complicated and large structures as ship structure by direct structural analysis such as finite element method, it is very important problem that the process needs much computational efforts due to the repeated structural analysis. In this study, the reanalysis technique based on the modified reduced basis method is applied in the process to reduce the computing time required in repeated structural analysis. Numerical examples to simple grillage and actual ship structure are performed and applicability of reanalysis technique to structural optimization process is discussed.

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