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http://dx.doi.org/10.4217/OPR.2014.36.4.487

Reliability-based Design Optimization on Mobility of Deep-seabed Test Miner Using Censored Data of Current Speed  

Park, Sanghyun (Department of Automotive Engineering, College of Engineering, Hanyang University)
Cho, Su-Gil (Department of Automotive Engineering, College of Engineering, Hanyang University)
Lim, Woochul (Department of Automotive Engineering, College of Engineering, Hanyang University)
Kim, Saekyeol (Department of Automotive Engineering, College of Engineering, Hanyang University)
Choi, Sung Sik (Department of Automotive Engineering, College of Engineering, Hanyang University)
Lee, Minuk (Korea Research Institute of Ships and Ocean Engineering, KIOST)
Choi, Jong-Su (Korea Research Institute of Ships and Ocean Engineering, KIOST)
Kim, Hyung-Woo (Korea Research Institute of Ships and Ocean Engineering, KIOST)
Lee, Chang-Ho (Korea Research Institute of Ships and Ocean Engineering, KIOST)
Hong, Sup (Korea Research Institute of Ships and Ocean Engineering, KIOST)
Lee, Tae Hee (Department of Automotive Engineering, College of Engineering, Hanyang University)
Publication Information
Ocean and Polar Research / v.36, no.4, 2014 , pp. 487-494 More about this Journal
Abstract
Deep-seabed test miner operated by a self-propelled mining system moving on soft soil is an essential device to secure floating and towing performances. The performances of the tracked vehicle are seriously influenced by noise factors such as the shear strength of the seafloor, bottom current, seafloor slope, speed of tracked vehicle, reaction forces of flexible hose, steering ratio, etc. Due to uncertainties related to noise factors, the design of a deep-sea manganese nodules test miner that satisfies target reliabilities is difficult. Therefore, reliability-based design optimization (RBDO) is required to guarantee system reliability under circumstances where uncertainties related to noise factors prevail. Among noise factors, the bottom current, a bimodal distribution, is censored due to the observation limit of measurement devices. Therefore, estimated distribution of the bottom current is inaccurate without considering these characteristics and the result of RBDO cannot be guaranteed. In this paper, we define censored data as unknown values over the limit of observation. If this data is estimated by using Akaike information criterion (AIC) that cannot consider the characteristics of censored data, the distribution of estimated data cannot guarantee accurate reliability. Therefore, censored AIC that can consider the characteristics of data is used to estimate accurate distribution of the bottom current. Finally, RBDO, under circumstances where uncertainties related to noise factors combined censored data are present, is performed on the mobility of a deep-sea manganese nodules test miner.
Keywords
deep-seabed test miner; censored data; censored akaike information criterion (censored AIC); reliability-based design optimization;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 Akaike H (1973) Information theory and an extension of the maximum likelihood principle. In: Proceedings of the second international symposium on information theory, pp 267-281
2 Choi JS, Hong S, Chi SB, Lee HB, Park CK, Kim HW, Yeu TK, Lee TH (2011) Probability distribution for the shear strength of seafloor sediment in the KR5 area for the development of manganese nodule miner. Ocean Eng 38(17-18):2033-2041. doi:10.1016/j.oceaneng.2011.09.011   DOI
3 Choi JS (2013) Reliability-based design on mobility of a tracked vehicle for deep-seabed mining. Ph.D. Thesis, Hanyang University, 113 p
4 Choi SS (2014) Estimation of censored current speed data for reliability-based design optimization on mobility of deep-seabed test niner. M.S. Thesis, Hanyang University, 39 p
5 Ditlevsen O, Madsen HO (2007) Structural reliability methods. John Wiley & Sons Ltd, Chichester, pp 263-299
6 Lee TH, Jung JJ, Hong S, Kim HW, Choi JS (2007) Prediction for motion of tracked vehicle traveling on soft soil using kriging metamodel. Int J Offshore Polar Eng 17(2):132-138
7 Lim W, Lee TH (2012a) Reliability-based design optimization using Akaike information criterion for discrete information. Trans Korean Soc Mech Eng A 36(8):921-927   과학기술학회마을   DOI
8 Lim W, Lee TH (2012b) Akaike information criterion-based reliability analysis for bimodal discrete information. Trans Korean Soc Mech Eng A 36(12):1605-1612   과학기술학회마을   DOI
9 Hong S, Kim HW, Choi JS (2002) Transient dynamic analysis of tracked vehicles on extremely soft cohesive soil. In: Proceedings of 5th ISOPE Pacific/Asia offshore mechanics symposium. PACOMS-2002, Daejeon, Korea, ISOPE, pp 100-107
10 Hong S, Kim HW, Choi JS, Yeu TK, Park SJ, Lee CH, Yoon SM (2010) A self-propelled deep-seabed miner and lessons from shallow water tests. In: Proceedings of 29th ASME Ocean, Offshore and Arctic Engineering, China, OMAE2010-20313