上海交通大学学报

上海交通大学学报 >

2025 , Vol. 59 >Issue 4: 466 - 475

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.318

船舶海洋与建筑工程

基于响应面法-遗传算法的船舶推进轴系多目标优化设计

  • 张聪 ,
  • 疏炳南 ,
  • 张江涛 ,
  • 金勇
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  • 1.武汉理工大学 交通与物流工程学院,武汉 430063
    2.水路交通控制全国重点实验室,武汉 430063
    3.武汉理工大学 国家水运安全工程技术研究中心,武汉 430063
张 聪(1986—),副教授,从事船舶推进轴系动力学特性及优化设计方向的研究.
金 勇,副教授;E-mail:jy761121@whut.edu.cn.

收稿日期: 2023-07-14

  修回日期: 2023-10-09

  录用日期: 2023-12-15

  网络出版日期: 2024-01-02

基金资助

国家自然科学基金资助项目(51839005)

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Multi-Objective Optimization Design of Ship Propulsion Shafting Based on Response Surface Methodology and Genetic Algorithm

  • ZHANG Cong ,
  • SHU Bingnan ,
  • ZHANG Jiangtao ,
  • JIN Yong
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  • 1. School of Transportation and Logistics Engineering, Wuhan University of Technology, Wuhan 430063, China
    2. State Key Laboratory of Maritime Technology and Safety, Wuhan 430063, China
    3. National Engineering Research Center for Water Transport Safety, Wuhan University of Technology, Wuhan 430063, China

Received date: 2023-07-14

  Revised date: 2023-10-09

  Accepted date: 2023-12-15

  Online published: 2024-01-02

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摘要

为降低船舶在航行过程中传动设备的功率损失,提高推进轴系的传递效率,并改善轴系振动性能,基于响应面模型与遗传算法(GA)对某船舶轴系实验台进行了多目标优化设计.采用星点设计(CCD)方法,在优化设计空间中选取合理实验点,拟合构建最小总功耗和振动响应幅值的响应面模型.基于GA,利用MATLAB软件求解响应面模型回归函数的Pareto最优解.对比分析各组优化结果,获得最佳优化设计方案,研究结果表明采用这种联合方法后,轴系功耗损失降低了约7.10%,轴系振动幅值降低了2.30%,能有效提高轴系传递效率和抑制推进轴系振动问题,从而验证了船舶推进轴系多目标优化方法的正确性和可行性.

关键词： 推进轴系; 传递效率; 响应面法; 遗传算法

本文引用格式

张聪 , 疏炳南 , 张江涛 , 金勇 . 基于响应面法-遗传算法的船舶推进轴系多目标优化设计[J]. 上海交通大学学报, 2025 , 59(4) : 466 -475 . DOI: 10.16183/j.cnki.jsjtu.2023.318

Abstract

In order to reduce the power loss of the transmission equipment, enhance the transmission efficiency of the propulsion shafting, and improve the vibration performance of the shafting, a multi-objective optimization design of a ship shafting experimental platform is performed based on the response surface model and genetic algorithm. The central composite design (CCD) method is used to select appropriate experimental points in the optimized design space, and the response surface model is developed with minimum total power consumption and vibration response amplitude. Based on the genetic algorithm, the Pareto optimal solution of response surface model regression function is solved through MATLAB software. The optimal design scheme is obtained by comparing and analyzing several groups of optimization results. The results show that the combined method can reduce the power loss of shafting by approximate 7.10% and reduce the vibration amplitude of shafting by 2.30%, while significantly improving the shafting transmission efficiency and effectively suppressing the vibration problem of propulsion shafting. The fiudings validate the feasibility of the multi-objective optimization method for the ship propulsion shafting.

Key words： propulsion shafting; transfer efficiency; response surface methodology; genetic algorithm

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