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http://dx.doi.org/10.3795/KSME-A.2009.33.11.1195

Reliability Estimation and RBDO Using Kriging Metamodel and Genetic Algorithm  

Cho, Tae-Min (KAIST 기계공학과)
Lee, Byung-Chai (KAIST 기계공학과)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.33, no.11, 2009 , pp. 1195-1201 More about this Journal
Abstract
In this study, effective methods for reliability estimation and reliability-based design optimization(RBDO) are proposed using kriging metamodel and genetic algorithm. In our previous study, we proposed the accurate method for reliability estimation using two-staged kriging metamodel and genetic algorithm. In this study, the possibility of applying the previously proposed method to RBDO is investigated. The efficiency and accuracy of that method were much improved than those of the first order reliability method(FORM). Finally, the effective method for RBDO is proposed and applied to numerical examples. The results are compared to the existing RBDO methods and shown to be very effective and accurate.
Keywords
Reliability; RBDO; Kriging Metamodel; Genetic Algorithm; Most probable Point;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
Times Cited By SCOPUS : 1
연도 인용수 순위
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