Journal of South China University of Technology(Natural Science Edition) ›› 2022, Vol. 50 ›› Issue (2): 50-57.doi: 10.12141/j.issn.1000-565X.200793

Special Issue: 2022年交通运输工程

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Optimization Design of Bow Ice-Breaking Capability Based on Actual Ice Condition

LU Yu1 GU ZhuhaoLIU ShewenCHUANG ZhenjuXU Dafeng2   

  1. 1.School of Naval Architecture and Ocean Engineering,Dalian Maritime University,Dalian 116026,Liaoning,China;
    2.Small Ship Research Institute,Dalian Songliao Shipyard,Dalian 116026,Liaoning,China

  • Received:2020-12-31 Revised:2021-09-02 Online:2022-02-25 Published:2022-02-01
  • Contact: 卢雨(1988-),男,博士,副教授,主要从事船舶水动力计算及多目标优化研究 E-mail:luyu@dlmu.edu.cn
  • About author:卢雨(1988-),男,博士,副教授,主要从事船舶水动力计算及多目标优化研究
  • Supported by:
    Supported by the National Natural Science Foundation of China(52171293),the National Natural Science Foundation of China for Young Scholars(51809029) and the Doctoral Research Start-Up Project of Liaoning Natural Science Foundation (2019-BS-025)

Abstract: In order to strengthen the bow strength of polar ships, this paper studied the ice conditions of polar routes, extracted the sea ice data of real polar routes and established the frequency spectrum table of ship sailing ice conditions. The full parametric design of the configuration of the ship's bow ensures that the bow can be freely deformed under the premise of smoothness. The idea of multi-objective linear programming was introduced in the eva-luation function, and an optimization model was established through an intelligent optimization algorithm. Finally, it established the optimal design method of the ship shape line with the best total income of the polar ship sailing in multiple ice conditions. The proposed method has a good effect on optimizing the ice-breaking capability of the bow under specific polar routes.

Key words:polar ship;ice-breaking capacity;parametric modeling;optimization algorithm;ice thickness extraction


Key words: polar ship, ice-breaking capacity, parametric modeling, optimization algorithm, ice thickness extraction

CLC Number: