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Numerical Investigation of Icebreaking Resistance of Ships Navigating in Narrow Ice Channels Cover

Numerical Investigation of Icebreaking Resistance of Ships Navigating in Narrow Ice Channels

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Open Access
|May 2026

Abstract

In ice-covered waters, ships may pass through narrow ice channels, where the interactions with the intact ice along the channel boundaries differ from those under level ice conditions. To investigate this problem, numerical simulations of a steel plate impacting on conical sea ice were first conducted to verify a constitutive model developed for ice. Subsequently, based on an explicit dynamic formulation, a coupled ship–ice–water interaction model was developed using an arbitrary Lagrangian– Eulerian algorithm for the fluid–structure interaction. This numerical approach was validated through comparison with the results of ice tank model tests in terms of ice failure patterns and icebreaking resistance, which confirmed the applicability of the proposed model. On this basis, a series of simulations was carried out to examine the icebreaking behaviour of a ship in a narrow channel with varying widths, ship speeds and ice thicknesses. The results showed that the icebreaking resistance in an extremely narrow channel is lower than under level ice conditions, and that the occurrence of lateral cracks is associated with a reduction in resistance. As the channel width was increased, the variation in the resistance became less pronounced. In addition, icebreaking resistance increased with ship speed and ice thickness, and this trend became more evident under confined channel conditions. The findings of this study contribute to the evaluation of ship performance in narrow ice channels and provide reference information for engineering applications in ice-covered waters.

DOI: https://doi.org/10.2478/pomr-2026-0016 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
Language: English
Page range: 4 - 17
Published on: May 6, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2026 Junhao Zhao, Bin Mei, Weifeng Li, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.