Efficient robust design optimization using statistical moment based on multiplicative decomposition considering non-normal noise factors

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

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The performance of a system can be affected by the variance of noise factors, which arise owing to uncertainties of the material properties and environmental factors acting on the system. For robust design optimization of the system performance, it is necessary to minimize the effect of the variance of the noise factors that are impossible to control. However, present robust design techniques consider the variation of design factors, and not the noise factors, as being important Furthermore, it is necessary to assume a normal distribution; however, a normal distribution is often not suitable to estimate the variations. In this study, a robust design technique is proposed to consider the variation of noise factors that are estimated as non-normal distributions in a real experiment As an example of an engineering problem, a deep-sea manganese nodule miner tracked vehicle is used to demonstrate the feasibility of the proposed method.

Original languageEnglish
Pages (from-to)1305-1310
Number of pages6
JournalTransactions of the Korean Society of Mechanical Engineers, A
Volume36
Issue number11
DOIs
StatePublished - 2012 Nov 1

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Normal distribution
Decomposition
Manganese nodules
Tracked vehicles
Miners
Materials properties
Design optimization
Experiments
Uncertainty

Keywords

  • Deep-sea ocean mining vehicle
  • Kriging metamodel
  • Multiplicative decomposition method
  • Robust design optimization

Cite this

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abstract = "The performance of a system can be affected by the variance of noise factors, which arise owing to uncertainties of the material properties and environmental factors acting on the system. For robust design optimization of the system performance, it is necessary to minimize the effect of the variance of the noise factors that are impossible to control. However, present robust design techniques consider the variation of design factors, and not the noise factors, as being important Furthermore, it is necessary to assume a normal distribution; however, a normal distribution is often not suitable to estimate the variations. In this study, a robust design technique is proposed to consider the variation of noise factors that are estimated as non-normal distributions in a real experiment As an example of an engineering problem, a deep-sea manganese nodule miner tracked vehicle is used to demonstrate the feasibility of the proposed method.",
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Efficient robust design optimization using statistical moment based on multiplicative decomposition considering non-normal noise factors. / Cho, Su Gil; Lee, Minuk; Lim, Woochul; Choi, Jong Su; Kim, Hyung Woo; Hong, Sup; Lee, Tae Hee.

In: Transactions of the Korean Society of Mechanical Engineers, A, Vol. 36, No. 11, 01.11.2012, p. 1305-1310.

Research output: Contribution to journalArticle

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AU - Hong, Sup

AU - Lee, Tae Hee

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