• Title/Summary/Keyword: 다목적 최적설계

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Optimal Structural Design Using Artificial Intelligence Techniques (인공지능 기술을 이용한 최적 구조설계)

  • 양영순;유원선;한상민
    • Computational Structural Engineering
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    • v.11 no.3
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    • pp.213-228
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    • 1998
  • 구조설계 과정에서 설계대안을 효율적으로 생성하여 평가하면서, 특히 다목적 환경 속에서 최적구조의 위상과 부재의 치수까지 동시에 결정할 수 있는 새로운 방식을 제시하고자 한다. 설계자가 설계대안을 생성하기 위해 설계자의 경험과 노하우를 체계적으로 구축해 놓고 이를 적절한 시기에 활용할 수 있게 하는 방법으로는 인공지능 기술의 하나인 사례기반 추론 기법을 사용하였다. 이와 더불어, 설계대안들 간의 효율적인 비교와 평가를 위해서 구조물의 계층적인 면을 고려한 새로운 유전적인 표현법을 개발하였다. 여기에 기존의 유전적 표현법을 변경시켜 생긴 여분의 효과와 계층적인 특징을 가지는 Structured Genetic Algorithm(StrGA)를 변형시켜서 사례기반 추론에 의해 생성된 설계대안들을 표현하였다. 일반적인 구조설계 과정에서는 구조물을 평가하는 기준이 여러 개가 존재하므로, 모든 대안들을 동시에 최적화 하는 과정에 Multicriteria Optimization for Genetic Algorithm(MOGA)를 병합하였다. 본 논문에서는 인공지능 기술을 이용하여 구조물의 위상설계를 할 수 있는 새로운 방법을 제안하여 그 유용성을 truss 설계문제에 대해 검토하였다.

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Optimal design of nonlinear damping system for seismically-excited adjacent structures using multi-objective genetic algorithm integrated with stochastic linearization method (추계학적 선형화 방법 및 다목적 유전자 알고리즘을 이용한 지진하중을 받는 인접 구조물에 대한 비선형 감쇠시스템의 최적 설계)

  • Ok, Seung-Yong;Song, Jun-Ho;Koh, Hyun-Moo;Park, Kwan-Soon
    • Journal of the Earthquake Engineering Society of Korea
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    • v.11 no.6
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    • pp.1-14
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    • 2007
  • Optimal design method of nonlinear damping system for seismic response control of adjacent structures is studied in this paper. The objective functions of the optimal design are defined by structural response and total amount of the dampers. In order to obtain a solution minimizing two mutually conflicting objective functions simultaneously, multi-objective optimization technique based on genetic algorithm is adopted. In addition, stochastic linearization method is embedded into the multi-objective framework to efficiently estimate the seismic responses of the adjacent structures interconnected by nonlinear hysteretic dampers without performing nonlinear time-history analyses. As a numerical example to demonstrate the effectiveness of the proposed technique, 20-story and 10-story buildings are considered and MR dampers of which hysteretic behaviors vary with the magnitude of the input voltage are considered as nonlinear hysteretic damper interconnecting two adjacent buildings. The proposed approach can provide the optimal number and capacities of the MR dampers, which turned out to be more economical than the uniform distribution system while maintaining similar control performance. The proposed damper system is verified to show more stable performance in terms of the pounding probability between two adjacent buildings. The applicability of the proposed method to the design problem for optimally placing semi-active control system is examined as well.

The Multi-Objective Optimal Design of Vehicle Component Manufacturing System with Simulation and ANP (시뮬레이션과 네트워크 분석법을 이용한 자동차 부품 가공시스템의 다목적 최적운영설계)

  • Kim, Woo-Kyun;Kim, Youn-Jin;Lee, Hong-Chul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.12
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    • pp.4697-4706
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    • 2010
  • This paper suggested the optimal operating design method using simulation and ANP(Analytic Network Process) for mass-customization in the automotive component manufacturing industry. For this, first of all, we built the simulation model including various and complex factors in the field, and estimated the meta-model by RSM(Response Surface Method). Secondly using ANP, we calculated the weight of relative importance of evaluation factors gathered from decision makers. And then, we proposed the optimal operation designs by MOGA(Multi-Objective Genetic Algorithm), analyzed results of them. Moreover, by comparing the results with the consequences using AHP(Analytic Hierarchy Process), we showed its superiority of suggested method to the manner using AHP, because it reflects inner, outer dependency, and inter-relation among judgement factors. In conclusion, through this process, we can present the better way to serve mover effective, precise, and accurate information to decision makers when they build operation design for mass-customization system as automotive parts production system.

The Study about the Optimization of the low noise axial fan (대형 축류팬 저소음화를 위한 최적설계 연구)

  • Shin, Hyung-Ki;Lee, Soo-Gab;Cheon, Seung-Hyun
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2002.11b
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    • pp.641-645
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    • 2002
  • 저소음 팬의 설계는 팬 성능의 저감 없이 이루어져야 한다. 따라서 저소음 팬 설계는 기본적으로 다분야간 설계 최적화 또는 다목적 설계 최적화의 문제이다. 본 연구에서는 이러한 요구를 수행하기 위해 반응면 기법을 저소음 축류 팬 설계에 적용하여 보았다. 또한 이러한 설계 단계에서 필요한 수백가지 시험 결과를 효과적으로 구하기 위해 효율적인 유동 해석 툴과 소음 해석 툴을 개발하여 적용시켰다. 마지막으로 이렇게 설계된 팬을 실제 크기로 제작 측정 비교 분석하여 적용된 기법을 검증하며 문제점에 대해 고찰해 보았다.

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Optimal design of hybrid laminated composite plates (혼합 적층 복합 재료판의 최적설계)

  • 이영신;이열화;나문수
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.14 no.6
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    • pp.1391-1407
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    • 1990
  • In this paper, optimization procedures are presented considering the static and dynamic constraints for laminated composite plate and hybrid laminated composite plate subject to concentrated load on center of the plates. Design variables for this problem are ply angle or ply thickness. Deflection, natural frequency and specific damping capacity are considered as constraints. Using a recursive linear programming method, the nonlinear optimization problems are solved. By introducing the design scaling factor, the number of iterations is reduced significantly. Composite plates could be designed optimally combined with FEM analysis under various conditions. In the optimization procedure, verification for both analysis and design of the laminated composite plates are compared with the results of the others. Various design results are presented for the laminated composite plates and hybrid laminated composite plates.

Design Optimization for 3D Woven Materials Based on Regression Analysis (회귀 분석에 기반한 3차원 엮임 재료의 최적설계)

  • Byungmo, Kim;Kichan, Sim;Seung-Hyun, Ha
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.35 no.6
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    • pp.351-356
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    • 2022
  • In this paper, we present the regression analysis and design optimization for improving the permeability of 3D woven materials based on numerical analysis data. First, the parametric analysis model is generated with variables that define the gap sizes between each directional wire of the woven material. Then, material properties such as bulk modulus, thermal conductivity coefficient, and permeability are calculated using numerical analysis, and these material data are used in the polynomial-based regression analysis. The Pareto optimal solution is obtained between bulk modulus and permeability by using multi-objective optimization and shows their trade-off relation. In addition, gradient-based design optimization is applied to maximize the fluid permeability for 3D woven materials, and the optimal designs are obtained according to the various minimum bulk modulus constraints. Finally, the optimal solutions from regression equations are verified to demonstrate the accuracy of the proposed method.

Simultaneous Aero-Structural Design of HALE Aircraft Wing using Multi-Objective Optimization (고고도 장기체공 항공기 날개의 다목적 최적화를 이용한 공력-구조 동시 설계)

  • Kim, Jeong-Hwa;Jun, Sang-Ook;Hur, Doe-Young;Lee, Dong-Ho
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.39 no.1
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    • pp.50-55
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    • 2011
  • In this study, simultaneous aero-structural design was performed for HALE aircraft wing. The span and the shape of main spar were considered as design variables. To maximize aerodynamic performance and to minimize weight, multi-objective optimization was used. Nonlinear static aeroelastic analysis was performed to compute large deflection of wing. Design of experiment and response surface method were used to reduce computation cost in the design process. Also, aerodynamic performances of deformed wing and rigid wing were compared.

Multi-objective Integrated Optimization of Diagrid Structure-smart Control Device (다이어그리드 구조물-스마트 제어장치의 다목적 통합 최적화)

  • Kim, Hyun-Su;Kang, Joo-Won
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.26 no.1
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    • pp.69-77
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    • 2013
  • When structural design of a tall building is conducted, reduction of wind-induced lateral displacement is one of the most important problem. For this purpose, additional dampers and vibration control devices are generally considered. In this process, control performance of additional devices are usually investigated for optimal design without variation of characteristics of a structure. In this study, multi-objective integrated optimization of structure-smart control device is conducted and possibility of reduction of structural resources of a tall building with additional smart damping device has been investigated. To this end, a 60-story diagrid building structure is used as an example structure and artificial wind loads are used for evaluation of wind-induced responses. An MR damper is added to the conventional TMD to develop a smart TMD. Because dynamic responses and the amount of structural material and additional smart damping devices are required to be reduced, a multi-objective genetic algorithm is employed in this study. After numerical simulation, various optimal designs that can satisfy control performance requirement can be obtained by appropriately reducing the amount of structural material and additional smart damping device.