Metamodel-based multidisciplinary design optimization of Ocean-mining vehicle system
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, J.J. | - |
dc.contributor.author | Yoo, J.H. | - |
dc.contributor.author | Lee, T.H. | - |
dc.contributor.author | Hong, S. | - |
dc.contributor.author | Kim, H.W. | - |
dc.contributor.author | Choi, J.-S. | - |
dc.date.accessioned | 2023-12-22T09:30:32Z | - |
dc.date.available | 2023-12-22T09:30:32Z | - |
dc.date.issued | 2005 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/9064 | - |
dc.description.abstract | Deep-ocean mining vehicle system has not only coupled relationship between component systems, but also a variety of design requirements of each system to accomplish the specified multi-tasks. To meet the multi-objectives 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 formulation for deep-ocean mining vehicle system is performed. Finally, results and advantages of the proposed design methodology are discussed. Copyright ? 2005 by The International Society of Offshore and Polar Engineers. | - |
dc.format.extent | 6 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.title | Metamodel-based multidisciplinary design optimization of Ocean-mining vehicle system | - |
dc.type | Article | - |
dc.identifier.scopusid | 2-s2.0-33746600758 | - |
dc.identifier.bibliographicCitation | Proceedings of the ISOPE Ocean Mining Symposium, v.2005, pp 157 - 162 | - |
dc.citation.title | Proceedings of the ISOPE Ocean Mining Symposium | - |
dc.citation.volume | 2005 | - |
dc.citation.startPage | 157 | - |
dc.citation.endPage | 162 | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Mining machinery | - |
dc.subject.keywordPlus | Computational methods | - |
dc.subject.keywordPlus | Computer aided design | - |
dc.subject.keywordPlus | Mathematical models | - |
dc.subject.keywordPlus | Optimization | - |
dc.subject.keywordPlus | Underwater mineralogy | - |
dc.subject.keywordPlus | Deep-ocean-mining vehicle system | - |
dc.subject.keywordPlus | Kriging model | - |
dc.subject.keywordPlus | Metamodel | - |
dc.subject.keywordPlus | Multi-disciplinary design optimization (MDO) | - |
dc.subject.keywordPlus | Response surface model | - |
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 | - |
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