Metamodel-based multidisciplinary design optimization of a deep-sea manganese nodules test miner

Minuk Lee, Su Gil Cho, Jong Su Choi, Hyung Woo Kim, Sup Hong, Tae Hee Lee

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

A deep-sea manganese nodules test miner has not only coupled relationship between system components but also various design requirements of each system to meet the specified multitasks. To accomplish the multiobjectives of complex systems, multidisciplinary design optimization (MDO) is performed. Metamodels such as the kriging model and the response surface model are employed to reduce computational costs for MDO and to integrate component systems in a design framework. After verifying the accuracy of each metamodel, metamodel-based MDO for a deep-ocean test miner is formulated and performed. Finally, results and advantages of the proposed design methodology are discussed.

Original languageEnglish
Article number326954
JournalJournal of Applied Mathematics
Volume2012
DOIs
StatePublished - 2012 Sep 17

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Manganese nodules
Multidisciplinary Design Optimization
Manganese
Nodule
Miners
Metamodel
Response Surface
Kriging
Ocean
Design Methodology
Large scale systems
Computational Cost
Complex Systems
Integrate
Requirements
Model
Design optimization
Costs
Design

Cite this

Lee, Minuk ; Cho, Su Gil ; Choi, Jong Su ; Kim, Hyung Woo ; Hong, Sup ; Lee, Tae Hee. / Metamodel-based multidisciplinary design optimization of a deep-sea manganese nodules test miner. In: Journal of Applied Mathematics. 2012 ; Vol. 2012.
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Metamodel-based multidisciplinary design optimization of a deep-sea manganese nodules test miner. / Lee, Minuk; Cho, Su Gil; Choi, Jong Su; Kim, Hyung Woo; Hong, Sup; Lee, Tae Hee.

In: Journal of Applied Mathematics, Vol. 2012, 326954, 17.09.2012.

Research output: Contribution to journalArticle

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