Physical model testing for supporting ice force model development of DP vessels in managed ice

The stationkeeping performance prediction of a Dynamic Positioning (DP) vessel greatly depends on the accurate modelling of the ice forces, which in turn depends on managed ice field characteristics (ice concentration, floe thickness, floe size, ice drift speed and direction and inclusion of brash i...

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Published in:Day 2 Tue, November 06, 2018
Main Authors: Islam, Shameem, Wang, Jungyong, Brown, Jeffrey, Lau, Michael, Gash, Robert, Millan, David, Millan, James
Format: Article in Journal/Newspaper
Language:English
Published: Offshore Technology Conference 2018
Subjects:
Online Access:https://doi.org/10.4043/29157-MS
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spelling ftnrccanada:oai:cisti-icist.nrc-cnrc.ca:cistinparc:ee5c51f2-34cd-4017-b144-2a645403aee0 2023-05-15T14:20:48+02:00 Physical model testing for supporting ice force model development of DP vessels in managed ice Islam, Shameem Wang, Jungyong Brown, Jeffrey Lau, Michael Gash, Robert Millan, David Millan, James 2018-02 text 23 p. https://doi.org/10.4043/29157-MS https://nrc-publications.canada.ca/eng/view/object/?id=ee5c51f2-34cd-4017-b144-2a645403aee0 https://nrc-publications.canada.ca/fra/voir/objet/?id=ee5c51f2-34cd-4017-b144-2a645403aee0 eng eng Offshore Technology Conference [Proceedings of OTC Arctic Technology Conference, 5-7 November, Houston, Texas, USA], Arctic Technology Conference, November 5-7, 2018, Houston, Texas, USA, Publication date: 2018-02 doi:10.4043/29157-MS DP in ice physical model testing managed ice ice-structure interaction global thrust and moment article 2018 ftnrccanada https://doi.org/10.4043/29157-MS 2021-09-01T06:16:51Z The stationkeeping performance prediction of a Dynamic Positioning (DP) vessel greatly depends on the accurate modelling of the ice forces, which in turn depends on managed ice field characteristics (ice concentration, floe thickness, floe size, ice drift speed and direction and inclusion of brash ice and small ice pieces) and the DP system characteristics (DP gain set-ups, control algorithms etc.). Physical model testing is a key tool in understanding and validating the fundamental relationships between the ice environmental parameters and the dynamics of a DP vessel. The National Research Council's Ocean Coastal and River Engineering Research Centre (NRC-OCRE) has conducted two comprehensive series of experiments with one 1/40 scaled and one 1/19 scaled DP vessels, in various realistic managed ice conditions in the ice tank facility in early 2015 and in early 2018, respectively. The primary objective of the model testing programs was to generate a database on managed ice-DP vessel interactions, which was the core to NRC-OCRE's ice force model development and validation activities. This paper describes the model test planning, preparation of managed ice field, the procedure of the model tests and the methodologies of data analysis for the two model testing programs. In both programs, the physical and mechanical characteristics of the ice field were modelled by controlling ice concentration, ice thickness, floe size, ice strength and the ice drift speed and direction. The ice concentration ranged from a light condition (7/10th) to a very heavy condition (9/10th+) with multiple ice floe sizes ranging between 12.5m to 100m. Multiple ice thicknesses ranging between 0.4m to 2m were used for multiple ice drift speeds (0.2 knots, 0.5 knots, and 1.2 knots) with various moderate to extreme ice encroachment angles. Ice forces were not measured directly but estimated based on the thrusters’ response. In addition, model's 6-DOF motions and accelerations were recorded. Multiple high definition cameras were used to capture the global and local ice-structure interactions both placed in above water and underwater locations. For the 2018 testing program, a new ceiling based video system was introduced that captured the images of the ice basin at multiple overlapping locations, which were processed offline to obtain time sequence full image of the ice basin. Model testing results for a few representative cases are presented in this article. The DP system used in the testing demonstrated capabilities of the vessel in maintaining station for majority of test cases. The measurements as well as the videos showed complex and highly stochastic ice-ship-boundary wall interactions, particularly for high oblique cases. The data and video captured provided sufficient information for developing novel ice force models for real time applications. Peer reviewed: No NRC publication: Yes Article in Journal/Newspaper Arctic National Research Council Canada: NRC Publications Archive Day 2 Tue, November 06, 2018
institution Open Polar
collection National Research Council Canada: NRC Publications Archive
op_collection_id ftnrccanada
language English
topic DP in ice
physical model testing
managed ice
ice-structure interaction
global thrust and moment
spellingShingle DP in ice
physical model testing
managed ice
ice-structure interaction
global thrust and moment
Islam, Shameem
Wang, Jungyong
Brown, Jeffrey
Lau, Michael
Gash, Robert
Millan, David
Millan, James
Physical model testing for supporting ice force model development of DP vessels in managed ice
topic_facet DP in ice
physical model testing
managed ice
ice-structure interaction
global thrust and moment
description The stationkeeping performance prediction of a Dynamic Positioning (DP) vessel greatly depends on the accurate modelling of the ice forces, which in turn depends on managed ice field characteristics (ice concentration, floe thickness, floe size, ice drift speed and direction and inclusion of brash ice and small ice pieces) and the DP system characteristics (DP gain set-ups, control algorithms etc.). Physical model testing is a key tool in understanding and validating the fundamental relationships between the ice environmental parameters and the dynamics of a DP vessel. The National Research Council's Ocean Coastal and River Engineering Research Centre (NRC-OCRE) has conducted two comprehensive series of experiments with one 1/40 scaled and one 1/19 scaled DP vessels, in various realistic managed ice conditions in the ice tank facility in early 2015 and in early 2018, respectively. The primary objective of the model testing programs was to generate a database on managed ice-DP vessel interactions, which was the core to NRC-OCRE's ice force model development and validation activities. This paper describes the model test planning, preparation of managed ice field, the procedure of the model tests and the methodologies of data analysis for the two model testing programs. In both programs, the physical and mechanical characteristics of the ice field were modelled by controlling ice concentration, ice thickness, floe size, ice strength and the ice drift speed and direction. The ice concentration ranged from a light condition (7/10th) to a very heavy condition (9/10th+) with multiple ice floe sizes ranging between 12.5m to 100m. Multiple ice thicknesses ranging between 0.4m to 2m were used for multiple ice drift speeds (0.2 knots, 0.5 knots, and 1.2 knots) with various moderate to extreme ice encroachment angles. Ice forces were not measured directly but estimated based on the thrusters’ response. In addition, model's 6-DOF motions and accelerations were recorded. Multiple high definition cameras were used to capture the global and local ice-structure interactions both placed in above water and underwater locations. For the 2018 testing program, a new ceiling based video system was introduced that captured the images of the ice basin at multiple overlapping locations, which were processed offline to obtain time sequence full image of the ice basin. Model testing results for a few representative cases are presented in this article. The DP system used in the testing demonstrated capabilities of the vessel in maintaining station for majority of test cases. The measurements as well as the videos showed complex and highly stochastic ice-ship-boundary wall interactions, particularly for high oblique cases. The data and video captured provided sufficient information for developing novel ice force models for real time applications. Peer reviewed: No NRC publication: Yes
format Article in Journal/Newspaper
author Islam, Shameem
Wang, Jungyong
Brown, Jeffrey
Lau, Michael
Gash, Robert
Millan, David
Millan, James
author_facet Islam, Shameem
Wang, Jungyong
Brown, Jeffrey
Lau, Michael
Gash, Robert
Millan, David
Millan, James
author_sort Islam, Shameem
title Physical model testing for supporting ice force model development of DP vessels in managed ice
title_short Physical model testing for supporting ice force model development of DP vessels in managed ice
title_full Physical model testing for supporting ice force model development of DP vessels in managed ice
title_fullStr Physical model testing for supporting ice force model development of DP vessels in managed ice
title_full_unstemmed Physical model testing for supporting ice force model development of DP vessels in managed ice
title_sort physical model testing for supporting ice force model development of dp vessels in managed ice
publisher Offshore Technology Conference
publishDate 2018
url https://doi.org/10.4043/29157-MS
https://nrc-publications.canada.ca/eng/view/object/?id=ee5c51f2-34cd-4017-b144-2a645403aee0
https://nrc-publications.canada.ca/fra/voir/objet/?id=ee5c51f2-34cd-4017-b144-2a645403aee0
genre Arctic
genre_facet Arctic
op_relation [Proceedings of OTC Arctic Technology Conference, 5-7 November, Houston, Texas, USA], Arctic Technology Conference, November 5-7, 2018, Houston, Texas, USA, Publication date: 2018-02
doi:10.4043/29157-MS
op_doi https://doi.org/10.4043/29157-MS
container_title Day 2 Tue, November 06, 2018
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