Probabilistic estimation of level ice resistance on ships based on sea ice properties measured along summer Arctic cruise paths

The decline of Arctic sea ice makes trans-Arctic transport possible in the summer, which increases the requirement of ice-strengthened vessels. Accurate estimation of ice resistance is necessary for ice-strengthened ship design and this process requires data on various ice properties. The objective of this study was to investigate the probabilistic characteristics of Arctic sea ice properties associated with estimations of ice resistance on ships. To achieve this aim, measurements of ice properties were collected from Arctic voyages conducted in the summers of 2008–2016. Ice thickness and ice concentration were observed along ship routes, and ice flexural strength and effective modulus were determined based on the physical properties of ice. The ice–hull kinetic friction coefficient was estimated according to ship velocity. Statistical analyses were conducted on these ice properties. The results showed that most ice properties can be described using existing statistical models (Burr XII, Beta, Gamma, and generalized extreme value distributions), with the exceptions of ice concentration, ice salinity and temperature, as well as friction coefficient. Furthermore, a Monte Carlo simulation was employed to estimate the ice resistance of a ship moving forward in a level ice zone based on a well-established empirical equation. The results showed that the distribution of ice resistance conformed to a Gamma distribution. The correlation coefficients between ice density and flexural strength as well as effective modulus had negligible effects on the simulation results. This study provides a helpful guide for the design of ice-strengthened ships and related numerical simulations required for summer trans-Arctic navigation.

• Record URL:
  https://doi.org/10.1016/j.coldregions.2021.103336
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0165232X21001178
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0165232X
• Supplemental Notes:
  • © 2021 Elsevier B.V. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Wang, Qingkai
  • Zong, Zhi
  • Lu, Peng
  • Zhang, Guiyong
  • Li, Zhijun
• Publication Date: 2021-9

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Serial:
  • Cold Regions Science and Technology
  • Volume: 189
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0165-232X
  • Serial URL: https://www.sciencedirect.com/science/journal/0165232X?sdc=2

Subject/Index Terms

• TRT Terms: Coefficient of friction; Flexural strength; Monte Carlo method; Resistance (Mechanics); Sea ice; Ships; Simulation
• Geographic Terms: Arctic Ocean
• Subject Areas: Environment; Marine Transportation; Vehicles and Equipment;

Filing Info

• Accession Number: 01776942
• Record Type: Publication
• Files: TRIS
• Created Date: Jul 23 2021 3:23PM