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

The Korean Society of Mechanical Engineers (대한기계학회)
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Reliability Analysis Using Dimension Reduction Method with Variable Sampling Points

가변적인 샘플링을 이용한 차원 감소법에 의한 신뢰도 해석 기법

  • 육순민 (한양대학교 대학원 기계공학과) ;
  • 민준홍 (한양대학교 대학원 기계공학과) ;
  • 김동호 (현대자동차 연구개발총괄본부) ;
  • 최동훈 (한양대학교 기계공학부)
  • Published : 2009.09.01
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Abstract

This study provides how the Dimension Reduction (DR) method as an efficient technique for reliability analysis can acquire its increased efficiency when it is applied to highly nonlinear problems. In the highly nonlinear engineering systems, 4N+1 (N: number of random variables) sampling is generally recognized to be appropriate. However, there exists uncertainty concerning the standard for judgment of non-linearity of the system as well as possibility of diverse degrees of non-linearity according to each of the random variables. In this regard, this study judged the linearity individually on each random variable after 2N+1 sampling. If high non-linearity appeared, 2 additional sampling was administered on each random variable to apply the DR method. The applications of the proposed sampling to the examples produced the constant results with increased efficiency.

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References

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