Concept of an advanced simulation-based design for engineering support of offshore plant equipment industries and its realization method

Oh, Jae-Won; Min, Cheon-Hong; Cho, Sugil; Bae, Dong‐Sik; Kim, Hyungwoo

doi:10.1016/j.oceaneng.2016.05.028

Cited by 7 publications

(1 citation statement)

References 21 publications

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“…The deep-sea pilot mining robot has been developed by using various computer simulation-based design methods to reduce the cost of deep-sea experiment (Lee et al 2012;Yoon et al 2012;Oh et al 2014Oh et al , 2016Oh et al , 2020. The RBDO has been adopted in the early design process to ensure the reliability of the pilot mining robot under various environmental uncertainties (Choi et al 2011;Park et al 2014;Cho et al 2016;Kim et al 2019b, a).…”

Section: Rbdo Formulation and Resultsmentioning

confidence: 99%

Identification of marginal and joint CDFs using bivariate type I interval multiply censored data for RBDO of a pick-up device of a pilot mining robot

Kim

Cho

Lee

et al. 2021

Struct Multidisc Optim

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In this paper, joint probability distribution for the size and mass of deep-sea manganese nodules is investigated and reliabilitybased design optimization (RBDO) of a deep-sea pilot mining robot is performed. As the size and mass of the manganese nodules are strongly correlated and their data are given as bivariate type I interval multiply censored data, a new statistical modeling method should be developed to deal with these issues. However, this is significantly difficult as the conventional methods cannot resolve these issues and there is no prior knowledge of the two physical properties. The proposed method, which employs the multinomial distribution to define the likelihood function and the Akaike information criterion to select the fittest marginal distribution and copula, provides a systematic approach to find the joint probability distribution using the type I interval multiply censored data. To demonstrate the accuracy and effectiveness of the proposed method, two numerical examples are tested. Then, the RBDO of the pilot mining robot is performed using the joint probability distribution resulted from the proposed method.

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