Browse > Article
http://dx.doi.org/10.26748/KSOE.2018.32.6.411

Ice Load Generation in Time Domain Based on Ice Load Spectrum for Arctic Offshore Structures  

Kim, Young-Shik (Offshore Plant Research Department, KRISO)
Kim, Jin-Ha (Offshore Plant Research Department, KRISO)
Kang, Kuk-Jin (Advanced Ship Research Department, KRISO)
Han, Solyoung (Offshore Floater Research, Samsung Heavy Industries Co., LTD)
Kim, Jinwhan (Mechanical Engineering Department, KAIST)
Publication Information
Journal of Ocean Engineering and Technology / v.32, no.6, 2018 , pp. 411-418 More about this Journal
Abstract
This paper introduces a new method of ice load generation in the time domain for the station-keeping performance evaluation of Arctic offshore structures. This method is based on the ice load spectrum and mean ice load. Recently, there has been increasing interest in Arctic offshore technology for the exploration and exploitation of the Arctic region because of the better accessibility to the Arctic ocean provided by the global warming effect. It is essential to consider the ice load during the development of an Arctic offshore structure. In particular, when designing a station-keeping system for an Arctic offshore structure, a consideration of the ice load acting on the vessel in the time domain is essential to ensure its safety and security. Several methods have been developed to consider the ice load in the time domain. However, most of the developed methods are computationally heavy because they consider every ice floe in the sea ice field to calculate the ice load acting on the vessel. In this study, a new approach to generate the ice load in the time domain with computational efficiency was suggested, and its feasibility was examined. The ice load spectrum and mean ice load were acquired from a numerical analysis with GPU-event mechanics (GEM) software, and the ice load with the varying heading of a vessel was reconstructed to show the feasibility of the proposed method.
Keywords
Arctic offshore structure; Ice load generation; Time-domain analysis; Ice load spectrum; Mean ice load;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Daley, C., Alawneh, S., Peters, D., Blades, G., Colbourne, B., 2014b. Simulation of Managed Sea Ice Loads on a Floating Offshore Platform Using GPU-event Mechanics. In International Conference and Exhibition on Performance of Ships and Structures in Ice, IceTech, 14.
2 Daley, C., Alawneh, S., Peters, D., Colbourne, B., 2014a. GPU-event-mechanics Evaluation of Ice Impact Load Statistics. In OTC Arctic Technology Conference, Offshore Technology Conference.
3 Loset, S., 1994. Discrete element Modeling of a Broken Ice Field - Part I: Model Development. Cold Regions Science and Technology, 22(4), 339-347.   DOI
4 Moran, K., Jan, B., John, W.F., 2006. Deepwater Drilling in the Arctic Ocean's Permanent Sea Ice. Procceeding IODP, 302.
5 National Oceanic and Atmospheric Administration (NOAA), 2017. National Oceanic and Atmospheric Administration Website. [Online] Available at: [Accessed 01 July, 2018].
6 US Congressional Hearing, 2009. Strategic Importance of the Arctic in Us Policy. Technical report.
7 Jeong, S.Y., Lee, C.J., Cho, S.R., Chun, E.J., 2011. Component-Based Ice Resistance Prediction Method for Standard Model Ship of MOERI Ice Model Basin. Journal of the Ships and Ocean Engineering, 51(1), 57-64.
8 Daley, C., Alawneh, S., Peters, D., Quinton, B., Colbourne, B., 2012. GPU Modeling of Ship Operations in Pack Ice. In International Conference and Exhibition on Performance of Ships and Structures in Ice, Banff Alberta, Canada.
9 Fossen, T.I., 2011. Handbook of Marine Craft Hydrodynamics and Motion Control. John Wiley & Sons.
10 Han, S., Kim, H.J., Lee, D.Y., Kim, B., 2017. Capability Analysis of Dynamic Positioning for the Arctic FPSO in ICE. The 24th Port and Ocean Engineering under Arctic Conditions, Pusan, Korea.
11 Kim, H.S., Jeong, S.Y., Woo, S.H., Han, D., 2018. Study on the Procedure to Obtain an Attainable Speed in Pack Ice. International Journal of Naval Architecture and Ocean Engineering, 10(4), 491-498.   DOI
12 Kim, H.S., Lee, J.B., 2018. Estimation Method for Ice load of Managed Ice in an Oblique Condition. Journal of Ocean Engineering and Technology, 32(3), 184-191.   DOI
13 Kjerstad, O.K., Metrikin, I., Loset, S., Skjetne, R., 2015. Experimental and Phenomenological Investigation of Dynamic Positioning in Managed Ice. Cold Regions Science and Technology, 111, 67-79.   DOI
14 Kjerstad, O.K., Skjetne, R., 2014. Modeling and Control for Dynamic Positioned Marine Vessels in Drifting Managed Sea Ice. Modeling, Identification and Control, 35(4), 249.   DOI
15 Lee, C.J., Kim, H.S., Choi, K.S., 2014. Comparative Study of Ice Breaking Performance According the Scale of Sea Ice on Ice Field. Journal of Ocean Engineering and Technology, 28(1), 28-33.   DOI
16 Lee, S.K., Kim, M.C., Lee, W.J., Kim, H.S., Lee, C.J., 2011. Study on the Correction Method of Ice Strength and Thickness Applied to the Sea Trial Condition Based on the Ice Model Test Results. Journal of the Society of Naval Architects of Korea, 48(5), 457-464.   DOI