• 제목/요약/키워드: Single-Loop Single-Vector Approach

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단일루프 단일벡터 방법을 이용한 신뢰성기반 위상최적설계 (Reliability-Based Topology Optimization Using Single-Loop Single-Vector Approach)

  • 방승현;민승재
    • 대한기계학회논문집A
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    • 제30권8호
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    • pp.889-896
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    • 2006
  • The concept of reliability has been applied to the topology optimization based on a reliability index approach or a performance measure approach. Since these approaches, called double-loop single vector approach, require the nested optimization problem to obtain the most probable point in the probabilistic design domain, the time for the entire process makes the practical use infeasible. In this work, new reliability-based topology optimization method is proposed by utilizing single-loop single-vector approach, which approximates searching the most probable point analytically, to reduce the time cost. The results of design examples show that the proposed method provides efficiency curtailing the time for the optimization process and accuracy satisfying the specified reliability.

변위 제한 조건하에서의 신뢰성 기반 형상 최적화 (Reliability-Based Shape Optimization Under the Displacement Constraints)

  • 오영규;박재용;임민규;박재용;한석영
    • 한국생산제조학회지
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    • 제19권5호
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    • pp.589-595
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    • 2010
  • This paper presents a reliability-based shape optimization (RBSO) using the evolutionary structural optimization (ESO). An actual design involves uncertain conditions such as material property, operational load, poisson's ratio and dimensional variation. The deterministic optimization (DO) is obtained without considering of uncertainties related to the uncertainty parameters. However, the RBSO can consider the uncertainty variables because it has the probabilistic constraints. In order to determine whether the probabilistic constraint is satisfied or not, simulation techniques and approximation methods are developed. In this paper, the reliability-based shape design optimization method is proposed by utilization the reliability index approach (RIA), performance measure approach (PMA), single-loop single-vector (SLSV), adaptive-loop (ADL) are adopted to evaluate the probabilistic constraint. In order to apply the ESO method to the RBSO, a sensitivity number is defined as the change of strain energy in the displacement constraint. Numerical examples are presented to compare the DO with the RBSO. The results of design example show that the RBSO model is more reliable than deterministic optimization.

응력 제한조건하의 신뢰성 기반 형상 최적설계 (Reliability-Based Shape Optimization Under the Stress Constraints)

  • 오영규;박재용;임민규;박재용;한석영
    • 한국생산제조학회지
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    • 제19권4호
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    • pp.469-475
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    • 2010
  • The objective of this study is to integrate reliability analysis into shape optimization problem using the evolutionary structural optimization (ESO) in the application example. Reliability-based shape optimization is formulated as volume minimization problem with probabilistic stress constraint under minimization max. von Mises stress and allow stress. Young's modulus, external load and thickness are considered as uncertain variables. In order to compute reliability index, four methods, i.e., reliability index approach (RIA), performance measure approach (PMA), single-loop singlevector (SLSV) and adaptive-loop (ADL), are used. Reliability-based shape optimization design process is conducted to obtain optimal shape satisfying max. von Mises stress and reliability index constraints with the above four methods, and then each result is compared with respect to numerical stability and computing time.

오목한 성능함수에서 공액경사도법을 이용한 단일루프 단일벡터 방법의 수렴성 개선 (Improvement of the Convergence Capability of a Single Loop Single Vector Approach Using Conjugate Gradient for a Concave Function)

  • 정성범;이세정;박경진
    • 대한기계학회논문집A
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    • 제36권7호
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    • pp.805-811
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    • 2012
  • 신뢰성 기반 최적설계의 효과적인 수행을 위하여 개발된 단일루프 단일벡터 방법은 신뢰성 해석의 계산과정을 제거함으로써 최적설계 시 발생하는 과도한 계산비용을 줄일 수 있다. 하지만 성능함수의 오목한 정도가 심할 경우, 수렴을 하지 못하고 발산하는 경향을 보인다. 때문에 일반적인 단일루프 단일벡터 방법은 낮은 수렴성과 부정확성 문제를 내포하고 있다. 본 연구에서는 공액경사도법을 이용한 단일루프 단일벡터 방법을 제안한다. 공액경사도법은 이전 반복과정의 최대가능손상점에서 계산된 방향 벡터들을 이용하여 현재 설계점에서의 최대가능손상점을 산출하기 위한 새로운 방향벡터를 구하고 이 방향벡터를 이용하여 현재점에서의 최적화를 수행한다. 이를 다양한 수학예제에 적용하고 다른 방법들과 수치적 성능 비교를 통해 제안한 방법의 유용성을 검증한다. 공액경사도법을 이용한 단일루프 단일벡터 방법은 성능함수 특성에 크게 영향을 받지 않으며 수렴성을 크게 향상시킬 수 있다.

신뢰성을 고려한 위상최적설계 (Topology Optimization Considering Reliability)

  • 민승재;방승현
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2004년도 춘계학술대회
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    • pp.468-473
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    • 2004
  • New reliability-based topology optimization method is proposed by utilizing single-loop single vector approach, which approximate searching the most probable point in the probabilistic design domain analytically, to reduce the time cost and dealing with several constraints to handle practical design requirements. To examine uncertainties in the topology design of a structure, the modulus of elasticity of the material and applied loadings are considered as probabilistic design variables. The results of design examples show that the proposed method provides efficiency curtailing the time for the optimization process and accuracy satisfying the specified reliability.

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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.

Improvement of Output Linearity of Matrix Converters with a General R-C Commutation Circuit

  • Choi, Nam-Sup;Li, Yulong;Han, Byung-Moon;Nho, Eui-Cheol;Ko, Jong-Sun
    • Journal of Power Electronics
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    • 제9권2호
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    • pp.232-242
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    • 2009
  • In this paper, a matrix converter with improved low frequency output performance is proposed by achieving a one-step commutation owing to a general commutation circuit applicable to n-phase to m-phase matrix converters. The commutation circuit consists of simple resister and capacitor components, leading to a very stable, reliable and robust operation. Also, it requires no extra sensing information to achieve commutation, allowing for a one-step commutation like a conventional dead time commutation. With the dead time commutation strategy applied, the distortion caused by commutation delay is analyzed and compensated, therefore leading to better output linear behavior. In this paper, detailed commutation procedures of the R-C commutation circuit are analyzed. A selection of specific semiconductor switches and commutation circuit components is also provided. Finally, the effectiveness of the proposed commutation method is verified through a two-phase to single-phase matrix converter and the feasibility of the compensation approach is shown by an open loop space vector modulated three-phase matrix converter with a passive load.