A combined experimental and numerical approach to predict ship resistance and power demand in broken ice
Journal article, 2024

Despite its remoteness and hostile environmental conditions, the Arctic holds significant shipping lanes, such as the Northern Sea Route (NSR) and the Northwest Passage (NWP). Typically, merchant ships operate along these routes in summer only, when the dominating type of ice is broken ice. A challenge of operating in such ice conditions is that there is no cost- and time-efficient method for predicting the resulting ice resistance, which makes route planning difficult, among others. To address this challenge, we present and analyze two complementary approaches to predict ship resistance in broken ice, of which one is experimental and the other numerical. The experimental approach makes use of a type of non-refrigerated synthetic model ice made of polypropylene, which makes it possible to test how a ship behaves in broken ice using a conventional non-refrigerated towing tank rather than an ice tank. The numerical approach, in turn, is based on the CFD-DEM method and can be used to consider fluid effects, such as the changes in fluid velocity and ship waves, while the ship is moving ahead. Validation calculations against established empirical approaches indicate that both approaches are reasonably accurate.

Emperical formula

Model test

Non-refrigerated ice

Ship resistance

Broken ice

Coupled CFD-DEM approach

Author

Yanzhuo Xue

Harbin Engineering University

Kai Zhong

Harbin Engineering University

Bao Yu Ni

Harbin Engineering University

Zhiyuan Li

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

M. Bergström

Aalto University

Jonas Ringsberg

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Luofeng Huang

Cranfield University

Ocean Engineering

0029-8018 (ISSN)

Vol. 292 116476

SEDNA - Safe maritime operations under extreme conditions: the Arctic case

European Commission (EC) (EC/H2020/723526), 2017-06-01 -- 2020-04-30.

Subject Categories

Infrastructure Engineering

Vehicle Engineering

Marine Engineering

DOI

10.1016/j.oceaneng.2023.116476

More information

Latest update

12/28/2023