TY - JOUR
T1 - Influence of seasonal and regional variation of ice properties on ship performance in the Arctic
AU - Tarovik, Oleg
AU - Yakimov, Vladimir
AU - Dobrodeev, Aleksei
AU - Li, Fang
N1 - Funding Information:
The authors are very grateful to Prof. Kirill Sazonov for his kind comments on the estimation of full-scale resistance from the ice trials data. We also very much appreciate the help of Dr. Alex Topaj with the technical issues of the clustering procedure. This study was supported by the Russian Science Foundation (grant for Project No. 17-79-20162-П ).
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/8/1
Y1 - 2022/8/1
N2 - The ongoing growth and digitalization of Arctic shipping strengthen the relevance of the models for ship performance prediction. Most of existing models consider ice thickness, total concentration, and other geometrical parameters of ice, while the change of ice flexural strength is usually neglected. This article aims at answering the question of how the flexural strength of level ice depends on the season and region of the Arctic, and on how this variation influences the ice performance of a ship. For this purpose, we developed a method to estimate the properties of ice of a given thickness based on the data on natural conditions in a certain region. Sensitivity analysis of this method showed that seasonal and regional changes in the flexural strength of ice could be predicted using the data on air temperature and seawater salinity. The available climatic data allowed us to analyze a spatiotemporal variability of these two parameters in the Russian Arctic. To predict the performance of constructed ships in ice, we developed a resistance scaling approach. Its accuracy was examined using full-scale data, ice tank tests, and numerical model results for 21900M-type icebreakers. This study concludes that variation of ice properties significantly affects ice performance of a ship and should be considered when simulating year-round navigation in the Arctic.
AB - The ongoing growth and digitalization of Arctic shipping strengthen the relevance of the models for ship performance prediction. Most of existing models consider ice thickness, total concentration, and other geometrical parameters of ice, while the change of ice flexural strength is usually neglected. This article aims at answering the question of how the flexural strength of level ice depends on the season and region of the Arctic, and on how this variation influences the ice performance of a ship. For this purpose, we developed a method to estimate the properties of ice of a given thickness based on the data on natural conditions in a certain region. Sensitivity analysis of this method showed that seasonal and regional changes in the flexural strength of ice could be predicted using the data on air temperature and seawater salinity. The available climatic data allowed us to analyze a spatiotemporal variability of these two parameters in the Russian Arctic. To predict the performance of constructed ships in ice, we developed a resistance scaling approach. Its accuracy was examined using full-scale data, ice tank tests, and numerical model results for 21900M-type icebreakers. This study concludes that variation of ice properties significantly affects ice performance of a ship and should be considered when simulating year-round navigation in the Arctic.
KW - Ice flexural strength
KW - Ice properties
KW - Ice resistance
KW - Icebreaking capability
KW - Seasonal variation
KW - Ship performance in ice
UR - http://www.scopus.com/inward/record.url?scp=85131594608&partnerID=8YFLogxK
U2 - 10.1016/j.oceaneng.2022.111563
DO - 10.1016/j.oceaneng.2022.111563
M3 - Article
AN - SCOPUS:85131594608
SN - 0029-8018
VL - 257
JO - Ocean Engineering
JF - Ocean Engineering
M1 - 111563
ER -