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http://dx.doi.org/10.3795/KSME-A.2009.33.9.870

Reliability Analysis Using Dimension Reduction Method with Variable Sampling Points  

Yook, Sun-Min (한양대학교 대학원 기계공학과)
Min, Jun-Hong (한양대학교 대학원 기계공학과)
Kim, Dong-Ho (현대자동차 연구개발총괄본부)
Choi, Dong-Hoon (한양대학교 기계공학부)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.33, no.9, 2009 , pp. 870-877 More about this Journal
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.
Keywords
Reliability Analysis; Dimension Reduction Method; Non-Linearity; Variable Sampling; Normalized Distance;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By SCOPUS : 2
연도 인용수 순위
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