크리깅 근사모델을 이용한 전역적 강건최적설계
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이권희 | - |
dc.contributor.author | 박경진 | - |
dc.date.accessioned | 2021-06-24T00:03:18Z | - |
dc.date.available | 2021-06-24T00:03:18Z | - |
dc.date.issued | 2005-09 | - |
dc.identifier.issn | 1226-4873 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/46252 | - |
dc.description.abstract | A current trend of design methodologies is to make engineers objectify or automate the decision-making process. Numerical optimization is an example of such technologies. However, in numerical optimization, the uncertainties are uncontrollable to efficiently objectify or automate the process. To better manage these uncertainties, the Taguchi method, reliability-based optimization and robust optimization are being used. To obtain the target performance with the maximum robustness is the main functional requirement of a mechanical system. In this research, a design procedure for global robust optimization is developed based on the kriging and global optimization approaches. The DACE modeling, known as the one of Kriging interpolation, is introduced to obtain the surrogate approximation model of the function. Robustness is determined by the DACE model to reduce real function calculations. The simulated annealing algorithm of global optimization methods is adopted to determine the global robust design of a surrogated model. As the postprocess, the first order second-moment approximation method is applied to refine the robust optimum. The mathematical problems and the MEMS design problem are investigated to show the validity of the proposed method. | - |
dc.format.extent | 10 | - |
dc.language | 한국어 | - |
dc.language.iso | KOR | - |
dc.publisher | 대한기계학회 | - |
dc.title | 크리깅 근사모델을 이용한 전역적 강건최적설계 | - |
dc.title.alternative | A Global Robust Optimization Using the Kriging Based Approximation Model | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.bibliographicCitation | 대한기계학회논문집 A, v.29, no.9, pp 1243 - 1252 | - |
dc.citation.title | 대한기계학회논문집 A | - |
dc.citation.volume | 29 | - |
dc.citation.number | 9 | - |
dc.citation.startPage | 1243 | - |
dc.citation.endPage | 1252 | - |
dc.identifier.kciid | ART001094814 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Robust Design | - |
dc.subject.keywordAuthor | Kriging | - |
dc.subject.keywordAuthor | Uncertainties | - |
dc.subject.keywordAuthor | Global Robust Optimization | - |
dc.subject.keywordAuthor | Simulated Annealing Algorithm | - |
dc.subject.keywordAuthor | DACE | - |
dc.subject.keywordAuthor | Robust Design | - |
dc.subject.keywordAuthor | Kriging | - |
dc.subject.keywordAuthor | Uncertainties | - |
dc.subject.keywordAuthor | Global Robust Optimization | - |
dc.subject.keywordAuthor | Simulated Annealing Algorithm | - |
dc.subject.keywordAuthor | DACE | - |
dc.subject.keywordAuthor | 강건설계 | - |
dc.subject.keywordAuthor | 크리깅 | - |
dc.subject.keywordAuthor | 불확실성 | - |
dc.subject.keywordAuthor | 전역적 강건최적설계 | - |
dc.subject.keywordAuthor | 시뮬레이티드어닐링 알고리듬 | - |
dc.identifier.url | https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE00619485 | - |
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