대한기계학회논문집A (Transactions of the Korean Society of Mechanical Engineers A)

  • 제29권9호
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  • Pages.1243-1252
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  • 2005
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  • 1226-4873(pISSN)
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  • 2288-5226(eISSN)
대한기계학회 (The Korean Society of Mechanical Engineers)
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크리깅 근사모델을 이용한 전역적 강건최적설계

A Global Robust Optimization Using the Kriging Based Approximation Model

  • 박경진 (한양대학교 공과대학 기계공학과) ;
  • 이권희 (동아대학교 공과대학 기계공학과)
  • 발행 : 2005.09.01
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초록

A current trend of design methodologies is to make engineers objectify or automate the decision-making process. Numerical optimization is an example of such technologies. However, in numerical optimization, the uncertainties are uncontrollable to efficiently objectify or automate the process. To better manage these uncertainties, the Taguchi method, reliability-based optimization and robust optimization are being used. To obtain the target performance with the maximum robustness is the main functional requirement of a mechanical system. In this research, a design procedure for global robust optimization is developed based on the kriging and global optimization approaches. The DACE modeling, known as the one of Kriging interpolation, is introduced to obtain the surrogate approximation model of the function. Robustness is determined by the DACE model to reduce real function calculations. The simulated annealing algorithm of global optimization methods is adopted to determine the global robust design of a surrogated model. As the postprocess, the first order second-moment approximation method is applied to refine the robust optimum. The mathematical problems and the MEMS design problem are investigated to show the validity of the proposed method.

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참고문헌

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피인용 문헌

  1. Development of Computational Orthogonal Array based Fatigue Life Prediction Model for Shape Optimization of Turbine Blade vol.34, pp.5, 2010, https://doi.org/10.3795/KSME-A.2010.34.5.611