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Citation:
　Xing Zheng,Zhizong Tian,Zhigang Xie,et al.Numerical Study of the Ice Breaking Resistance of the Icebreaker in the Yellow River Through Smoothed-Particle Hydrodynamics[J].Journal of Marine Science and Application,2022,(1):1-14.[doi:10.1007/s11804-022-00259-w]
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Numerical Study of the Ice Breaking Resistance of the Icebreaker in the Yellow River Through Smoothed-Particle Hydrodynamics

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Title:
Numerical Study of the Ice Breaking Resistance of the Icebreaker in the Yellow River Through Smoothed-Particle Hydrodynamics
Author(s):
Xing Zheng1;  Zhizong Tian2;  Zhigang Xie2;  Ningbo Zhang1
Affilations:
Author(s):
Xing Zheng1;  Zhizong Tian2;  Zhigang Xie2;  Ningbo Zhang1
1 College of Shipbuilding Engineering, Harbin Engineering University, Harbin 150001, China;
2 Yellow River Institute of Hydraulic Research, Yellow River Conservancy Commission, Zhengzhou 450003, China
Keywords:
Icebreaker; Smoothed-particle hydrodynamics; Ice breaking resistance; the Yellow River; Ice thickness
分类号:
-
DOI:
10.1007/s11804-022-00259-w
Abstract:
A ship – ice – water interaction model is established using smoothed-particle hydrodynamics (SPH) to predict the ice breaking resistance of the icebreaker in the Yellow River effectively. This method includes the numerical process of the constitutive equation, yield criterion, and the coupling model in SPH. The ice breaking resistance is determined under different conditions. The numerical results of the ice breaking resistance agree with the empirical formula results. Results show that the prediction accuracy of ice resistance is less than 17.6% compared with the empirical formula in the level ice. The method can also be extended to predict the floe motion and ice breaking resistance in actual river channels. The validation against the empirical formula indicates that the proposed ship – ice – water SPH method can predict the ice breaking resistance of icebreakers in actual rivers effectively. The predicted ice breaking resistance is analyzed under different conditions. The ice breaking resistance increases with increasing bending strength and ice thickness, and the latter is the most important factor influencing ice resistance.

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Memo

Memo:
Received date: 2021-06-28;Accepted date: 2022-01-23。
Foundation item:Supported by the National Key Research and Development Program of China (No. 2018YFC1508405), National Natural Science Foundation of China (Nos. 51879051 and 51739001), the Open Fund of the Key Laboratory of Far-shore Wind Power Technology of Zhejiang Province (ZOE20200007), Natural Science Foundation of Heilongjiang Province in China (LH2020 E071).
Corresponding author:Xing Zheng,E-mail:zhengxing@hrbeu.edu.cn
Last Update: 2022-04-22