Method of metamodel-based multidisciplinary design optimization for development of a test miner
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, T.H. | - |
dc.contributor.author | Lee, M.U. | - |
dc.contributor.author | Choi, J.-S. | - |
dc.contributor.author | Kim, H.W. | - |
dc.contributor.author | Hong, S. | - |
dc.date.accessioned | 2023-12-22T09:01:43Z | - |
dc.date.available | 2023-12-22T09:01:43Z | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8940 | - |
dc.description.abstract | A deep-ocean test miner has not only coupled relationship between component systems, but also various design requirements of each system to accomplish the specified multi-tasks. To meet the multiobjectives of the complex system, multidisciplinary design optimization (MDO) is performed. Metamodels such as kriging model and response surface model are employed to reduce computational costs for MDO and to facilitate the automation and integration of component systems in a design framework. After verifying accuracies of metamodels, metamodel-based MDO for a deep-ocean test miner is formulated and performed. Finally, results and advantages of the proposed design methodology are discussed. Copyright ? 2009 by The International Society of Offshore and Polar Engineers (ISOPE). | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Method of metamodel-based multidisciplinary design optimization for development of a test miner | - |
dc.type | Article | - |
dc.identifier.scopusid | 2-s2.0-74949095555 | - |
dc.identifier.bibliographicCitation | Proceedings of the ISOPE Ocean Mining Symposium, pp 270 - 275 | - |
dc.citation.title | Proceedings of the ISOPE Ocean Mining Symposium | - |
dc.citation.startPage | 270 | - |
dc.citation.endPage | 275 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Surface properties | - |
dc.subject.keywordPlus | Testing | - |
dc.subject.keywordPlus | Design | - |
dc.subject.keywordPlus | Kriging model | - |
dc.subject.keywordPlus | Meta model | - |
dc.subject.keywordPlus | Mining vehicles | - |
dc.subject.keywordPlus | Multidisciplinary design optimization | - |
dc.subject.keywordPlus | Response surface model | - |
dc.subject.keywordPlus | Response surface models | - |
dc.subject.keywordPlus | Combinatorial optimization | - |
dc.subject.keywordPlus | Cost reduction | - |
dc.subject.keywordPlus | Gas hydrates | - |
dc.subject.keywordPlus | Hydration | - |
dc.subject.keywordPlus | Miners | - |
dc.subject.keywordPlus | Mining engineering | - |
dc.subject.keywordPlus | Multi agent systems | - |
dc.subject.keywordPlus | Ocean engineering | - |
dc.subject.keywordPlus | Oceanography | - |
dc.subject.keywordAuthor | Deep-ocean-mining vehicle system | - |
dc.subject.keywordAuthor | Kriging model | - |
dc.subject.keywordAuthor | Metamodel | - |
dc.subject.keywordAuthor | Multi-disciplinary design optimization (MDO) | - |
dc.subject.keywordAuthor | Response surface model | - |
dc.subject.keywordAuthor | Test miner | - |
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