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Preliminary study on a single loop single vector approach using the conjugate gradient in reliability based design optimization

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dc.contributor.authorJeong, Seong beom-
dc.contributor.authorPark, Gyung jin-
dc.date.accessioned2021-06-23T09:43:51Z-
dc.date.available2021-06-23T09:43:51Z-
dc.date.issued2012-09-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/36193-
dc.description.abstractThe reliability based design optimization (RBDO) approach requires excessive computational cost since the uncertainties are considered. In order to reduce the design cost, the single loop single vector (SLSV) method has been proposed as an efficient approach. This method can reduce the cost by elimination of the nested optimization process. However, this replacement can increase instability or inaccuracy of the convergence according to the problem characteristics. Therefore, the method may not give an accurate solution or the convergence robustness is not guaranteed. In this research, the single loop single vector method is modified by using the conjugate gradient. The conjugate gradient is calculated by the descent directions at the most probable points (MPP) of previous cycles. The SLSV approach using the conjugate gradient is not greatly influenced by problem characteristics and improves its convergence capability. Also, the optimization cost can be reduced and a good solution satisfying the specified reliability can be obtained. © 2012 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.-
dc.language영어-
dc.language.isoENG-
dc.publisherAmerican Institute of Aeronautics and Astronautics Inc.-
dc.titlePreliminary study on a single loop single vector approach using the conjugate gradient in reliability based design optimization-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.2514/6.2012-5627-
dc.identifier.scopusid2-s2.0-85088339042-
dc.identifier.bibliographicCitation12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference-
dc.citation.title12th AIAA Aviation Technology, Integration and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusAviation-
dc.subject.keywordPlusCost reduction-
dc.subject.keywordPlusMachine design-
dc.subject.keywordPlusReliability-
dc.subject.keywordPlusComputational costs-
dc.subject.keywordPlusDescent directions-
dc.subject.keywordPlusDesign costs-
dc.subject.keywordPlusMost Probable Point-
dc.subject.keywordPlusReliability-based design optimization-
dc.subject.keywordPlusSingle loop-
dc.subject.keywordPlusSingle vectors-
dc.subject.keywordPlusConjugate gradient method-
dc.subject.keywordAuthorConjugate gradient method-
dc.subject.keywordAuthorPreliminary studies-
dc.subject.keywordAuthorAviation-
dc.subject.keywordAuthorDesign costs-
dc.subject.keywordAuthorCost reduction-
dc.subject.keywordAuthorSingle loop-
dc.subject.keywordAuthorOptimization-
dc.subject.keywordAuthorComputational costs-
dc.subject.keywordAuthorDescent directions-
dc.subject.keywordAuthorMachine design-
dc.subject.keywordAuthorReliability-based design optimization-
dc.subject.keywordAuthorSingle vectors-
dc.subject.keywordAuthorMost Probable Point-
dc.identifier.urlhttps://arc.aiaa.org/doi/10.2514/6.2012-5627-
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