• 제목/요약/키워드: 신뢰성기반 위상최적화

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양방향 진화적 구조최적화를 이용한 신뢰성기반 위상최적화 (Reliability-Based Topology Optimization Based on Bidirectional Evolutionary Structural Optimization)

  • 유진식;김상락;박재용;한석영
    • 한국생산제조학회지
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    • 제19권4호
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    • pp.529-538
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    • 2010
  • This paper presents a reliability-based topology optimization (RBTO) based on bidirectional evolutionary structural optimization (BESO). In design of a structure, uncertain conditions such as material property, operational load and dimensional variation should be considered. Deterministic topology optimization (DTO) is performed without considering the uncertainties related to the design variables. However, the RBTO can consider the uncertainty variables because it can deal with the probabilistic constraints. The reliability index approach (RIA) and the performance measure approach (PMA) are adopted to evaluate the probabilistic constraints in this study. In order to apply the BESO to the RBTO, sensitivity number for each element is defined as the change in the reliability index of the structure due to removal of each element. Smoothing scheme is also used to eliminate checkerboard patterns in topology optimization. The limit state indicates the margin of safety between the resistance (constraints) and the load of structures. The limit State function expresses to evaluate reliability index from finite element analysis. Numerical examples are presented to compare each optimal topology obtained from RBTO and DTO each other. It is verified that the RBTO based on BESO can be effectively performed from the results.

신뢰성 해석을 이용한 차량 후드 보강재의 위상최적화 (Topology Optimization of the Inner Reinforcement of a Vehicle's Hood using Reliability Analysis)

  • 박재용;임민규;오영규;박재용;한석영
    • 한국생산제조학회지
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    • 제19권5호
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    • pp.691-697
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    • 2010
  • Reliability-based topology optimization (RBTO) is to get an optimal topology satisfying uncertainties of design variables. In this study, reliability-based topology optimization method is applied to the inner reinforcement of vehicle's hood based on BESO. A multi-objective topology optimization technique was implemented to obtain optimal topology of the inner reinforcement of the hood. considering the static stiffness of bending and torsion as well as natural frequency. Performance measure approach (PMA), which has probabilistic constraints that are formulated in terms of the reliability index, is adopted to evaluate the probabilistic constraints. To evaluate the obtained optimal topology by RBTO, it is compared with that of DTO of the inner reinforcement of the hood. It is found that the more suitable topology is obtained through RBTO than DTO even though the final volume of RBTO is a little bit larger than that of DTO. From the result, multiobjective optimization technique based on the BESO can be applied very effectively in topology optimization for vehicle's hood reinforcement considering the static stiffness of bending and torsion as well as natural frequency.

신뢰성 해석을 이용한 구조최적화 (Structural Optimization using Reliability Analysis)

  • 박재용;임민규;오영규;박재용;한석영
    • 한국생산제조학회지
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    • 제19권2호
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    • pp.224-229
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    • 2010
  • This paper presents a reliability-based topology optimization (RBTO) using bi-directional evolutionary structural optimization (BESO). An actual design involves uncertain conditions such as material property, operational load and dimensional variation. Deterministic topology optimization (DTO) is obtained without considering of uncertainties related to the uncertainty parameters. However, the RBTO can consider the uncertainty variables because it has the probabilistic constraints. In this paper, the reliability index approach (RIA) is adopted to evaluate the probabilistic constraint. RBTO based on BESO starting from various design domains produces a similar optimal topology each other. Numerical examples are presented to compare the DTO with the RBTO.

강성구속 조건을 갖는 구조물의 신뢰성기반 위상최적설계 (Reliability-Based Topology Optimization for Structures with Stiffness Constraints)

  • 김상락;박재용;이원구;유진식;한석영
    • 한국공작기계학회논문집
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    • 제17권6호
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    • pp.77-82
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    • 2008
  • This paper presents a Reliability-Based Topology Optimization(RBTO) using the Evolutionary Structural Optimization(ESO). An actual design involves some uncertain conditions such as material property, operational load and dimensional variation. The Deterministic Topology Optimization(DTO) is obtained without considering the uncertainties related to the uncertainty parameters. However, the RBTO can consider the uncertainty variables because it has the probabilistic constraints. In order to determine whether the probabilistic constraints are satisfied or not, simulation techniques and approximation methods are developed. In this paper, the reliability index approach(RIA) is adopted to evaluate the probabilistic constraints. In order to apply the ESO method to the RBTO, sensitivity number is defined as the change in the reliability index due to the removal of the ith element. Numerical examples are presented to compare the DTO with the RBTO.

신뢰성 기반 위상최적화에 대한 비교 연구 (Comparative Study on Reliability-Based Topology Optimization)

  • 조강희;황승민;박재용;한석영
    • 한국생산제조학회지
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    • 제20권4호
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    • pp.412-418
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    • 2011
  • Reliability-based Topology optimization(RBTO) is to get an optimal design satisfying uncertainties of design variables. Although RBTO based on homogenization and density distribution method has been done, RBTO based on BESO has not been reported yet. This study presents a reliability-based topology optimization(RBTO) using bi-directional evolutionary structural optimization(BESO). Topology optimization is formulated as volume minimization problem with probabilistic displacement constraint. Young's modulus, external load and thickness are considered as uncertain variables. In order to compute reliability index, four methods, i.e., RIA, PMA, SLSV and ADL(adaptive-loop), are used. Reliability-based topology optimization design process is conducted to obtain optimal topology satisfying allowable displacement and target reliability index with the above four methods, and then each result is compared with respect to numerical stability and computing time. The results of this study show that the RBTO based on BESO using the four methods can effectively be applied for topology optimization. And it was confirmed that DLSV and ADL had better numerical efficiency than SLSV. ADL and SLSV had better time cost than DLSV. Consequently, ADL method showed the best time efficiency and good numerical stability.

컴플라이언트 메커니즘의 신뢰성 기반 위상최적설계 (Reliability Based Topology Optimization of Compliant Mechanisms)

  • 임민규;박재용;한석영
    • 한국생산제조학회지
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    • 제19권6호
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    • pp.826-833
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    • 2010
  • Electric-thermal-structural actuated compliant mechanisms are mechanisms onto which electric voltage drop is applied as input instead of force. This mechanism is based on thermal expansion of material while being heated. Compliant mechanisms are designed subjected to electric charge input using BESO(bi-directional evolutionary structural optimization) method. Reliability-based topology optimization (RBTO) is applied to the topology design of actuators. performance measure approach (PMA), which has probabilistic constraints that are formulated in terms of the reliability index, is adopted to evaluate the probabilistic constraints. In this study, BESO method is used to obtain optimal topology of compliant mechanisms from initial design domain. PMA approach is used to evaluate reliability index. The procedure has been tested in numerical applications and compared with the results obtained by other methods to validate these approaches.

자동차 현가장치 부품에 대한 신뢰성 기반 최적설계에 관한 연구 (A Study for the Reliability Based Design Optimization of the Automobile Suspension Part)

  • 이종홍;유정훈;임홍재
    • 한국자동차공학회논문집
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    • 제12권2호
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    • pp.123-130
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    • 2004
  • The automobile suspension system is composed of parts that affect performances of a vehicle such as ride quality, handling characteristics, straight performance and steering effort, etc. Moreover, by using the finite element analysis the cost for the initial design step can be decreased. In the design of a suspension system, usually system vibration and structural rigidity must be considered simultaneously to satisfy dynamic and static requirements simultaneously. In this paper, we consider the weight reduction and the increase of the first eigen-frequency of a suspension part, the upper control arm, especially using topology optimization and size optimization. Firstly, we obtain the initial design to maximize the first eigen-frequency using topology optimization. Then, we apply the multi-objective parameter optimization method to satisfy both the weight reduction and the increase of the first eigen-frequency. The design variables are varying during the optimization process for the multi-objective. Therefore, we can obtain the deterministic values of the design variables not only to satisfy the terms of variation limits but also to optimize the two design objectives at the same time. Finally, we have executed reliability based optimal design on the upper control arm using the Monte-Carlo method with importance sampling method for the optimal design result with 98% reliability.

케이블 기반 개폐 막 지붕의 오픈형 최적 트롤리 모델 개발 (Development of an Open-Typed Optimal Trolley Model for Cable-Based Retractable Membrane Roof)

  • 이돈우;손수덕;최봉영;이승재
    • 한국산학기술학회논문지
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    • 제22권1호
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    • pp.719-727
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    • 2021
  • 건축 분야는 최근 기계·로봇 분야와 접목하여 환경에 유동적으로 대응할 수 있는 개폐식 장치를 경기장과 같은 대공간 구조물의 지붕에 많이 적용하고 있다. 이러한 장치 중에서 외관이 수려한 개폐 막은 경량이어서 경계부의 견인 장치만으로 막을 쉽게 개폐할 수 있다. 그러나 막은 주 케이블에 트롤리로 연결되어 이동하므로 지붕의 면적에 비례해 트롤리 개수가 늘어난다. 본 연구에서는 이러한 막의 개폐 장치에 많이 사용되는 오픈형 트롤리를 위상 최적 기법을 이용하여 모델을 제안한다. 해석은 ANSYS 프로그램을 사용하였고, 결과를 바탕으로 피드백 과정을 통해서 새로운 모델을 제안하고, 검토하였다. 이 과정에서 트롤리 중량은 줄고, 내구성이 높아진 원형을 개발할 수 있었다. 오픈형 트롤리는 정적 해석 결과와 이에 대한 경계조건을 바탕으로 위상 최적화를 수행하며, 세 가지 타입의 최적 트롤리 원형을 설계하였다. 제안된 트롤리는 기본형 트롤리와 같은 조건에서 비교한 결과, 최대 71.04%의 부피를 감소시켰고, 항복강도는 8.67~11.43%에 달하였다. 결론적으로 본 연구에서 제안된 최적화 트롤리 모델은 경제성과 안정성을 신뢰할 만하였다.