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http://dx.doi.org/10.3795/KSME-A.2006.30.8.985

Performance Improvement of a Moment Method for Reliability Analysis Using Kriging Metamodels  

Ju Byeong-Hyeon (한국과학기술원 기계공학과)
Cho Tae-Min (한국과학기술원 기계공학과)
Jung Do-Hyun (자동차부품연구원)
Lee Byung-Chai (한국과학기술원 기계공학과)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.30, no.8, 2006 , pp. 985-992 More about this Journal
Abstract
Many methods for reliability analysis have been studied and one of them, a moment method, has the advantage that it doesn't require sensitivities of performance functions. The moment method for reliability analysis requires the first four moments of a performance function and then Pearson system is used for the probability of failure where the accuracy of the probability of failure greatly depends on that of the first four moments. But it is generally impossible to assess them analytically for multidimensional functions, and numerical integration is mainly used to estimate the moment. However, numerical integration requires many function evaluations and in case of involving finite element analyses, the calculation of the first fo 따 moments is very time-consuming. To solve the problem, this research proposes a new method of approximating the first four moments based on kriging metamodel. The proposed method substitutes the kriging metamodel for the performance function and can also evaluate the accuracy of the calculated moments adjusting the approximation range. Numerical examples show the proposed method can approximate the moments accurately with the less function evaluations and evaluate the accuracy of the calculated moments.
Keywords
Kriging Metamodel; Moment Method; Reliability;
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Times Cited By KSCI : 1  (Citation Analysis)
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