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https://doi.org/10.4043/27430-...
Article . 2016 . Peer-reviewed
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Ice Model Tests for Dynamic Positioning Vessel in Managed Ice

Authors: Wang, Jungyong; Sayeed, Tanvir; Millan, David; Gash, Robert; Islam, Mohammed; Millan, James;

Ice Model Tests for Dynamic Positioning Vessel in Managed Ice

Abstract

Abstract Stationkeeping in managed ice using dynamic positioning (DP) control system has been an area of great interest over the past few years. The stationkeeping performance of a DP vessel depends on the modelling accuracy of the ice forces, which in turn depends on managed ice field characteristics (floe size, floe thickness, inclusion of brash ice and small ice pieces, ice drift speed and direction) and DP system (gain set-ups). Over the years, many engineers have been using numerical and experimental tools to assess the effect of these parameters. More recently, a comprehensive series of experiments with a 1/40 scaled DP vessel were conducted in various realistic managed ice conditions in the ice tank facility of OCRE-NRC in early 2015. This paper describes the preparation of managed ice field, the procedure of the model tests and the methodologies of data analysis. The physical and mechanical characteristics of the ice field were modelled by controlling ice concentration, ice thickness, floe size, ice strength and ice drift speed/direction. The ice concentration ranged from light condition (6/10th) to very heavy condition (9/10th+) with three different floe sizes (100m, 50m and 25 m). Three different ice thicknesses (0.6m, 1.2m and 2m) were used and three different drift speeds (0.2 kts, 0.5 kts, and 1.2 kts) with various heading angles were tested. Some tests used high strength model ice in order to keep the ice field longer (sometimes for 2nd day). Some tests used properly scaled model ice (700 kPa of flexural strength in full scale) in order to simulate ice failure appropriately. Ice loads were not directly measured but estimated based on the thrusters’ response. Video analysis is introduced and some observations are described. Test results for a few cases are presented as an example.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
Green