Prediction Method of Ice Resistance and Propulsion Power for Polar Ships

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  • (1. School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang 212003,
    Jiangsu, China; 2. Shanghai Rules and Research Institute, China Classification Society, Shanghai 200135, China; 3. School
    of Engineering, Far Eastern Federal University, Vladivostok, Primorskyi krai, Russia)
     

Online published: 2020-11-26

Abstract

Polar ships need to meet stringent safety and environmental requirements. Usually those ships are classified by different ice classes based on ice operation capability. However, the polar ships are also trapped by severe ice condition due to low propulsion power. Therefore, it is a realistic question to design the appropriate minimum propulsion power for ice operation. This paper focuses on the ice resistance and its related propulsion power for the ships with polar code (PC) classes. In consideration of seven typical polar ice conditions related to the PC rule of International Association of Classification Societies (IACS), a prediction method of ice resistance is developed by Lindqvist’s model. The results are compared with those of Lindqvist’s model and Riska’s model by using two real ship lines. The comparison among propulsion requirements of representative classification societies is made, and a formula of minimum propulsion power is presented on the basis of ice resistance by revised Finnish-Swedish Ice Class Rules (FSICR) method. The results are verified by the actual values from seven ice class ships. A relatively good agreement is achieved. As a conclusion, the presented prediction method of ice resistance and minimum propulsion power is recommended for evaluation of ice resistance and its related propulsion power during the process of developing polar ships.

Cite this article

DING Shifeng, ZHOU Li, WANG Zhengrong, TSUPRIK Vladimir G. . Prediction Method of Ice Resistance and Propulsion Power for Polar Ships[J]. Journal of Shanghai Jiaotong University(Science), 2020 , 25(6) : 739 -745 . DOI: 10.1007/s12204-020-2216-x

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