基于响应面法-遗传算法的船舶推进轴系多目标优化设计(网络首发)

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  • 1. 武汉理工大学交通与物流工程学院;2. 水路交通控制全国重点实验室(武汉);3. 武汉理工大学国家水运安全工程技术研究中心

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)

Multi-objective optimization design of ship propulsion shafting based on response surface method and genetic algorithm

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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)

Online published: 2024-01-02

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对某船舶轴系实验台进行了多目标优化设计。采用CCD星点设计方法,在优化设计空间中选取合理实验点,拟合构建最小总功耗、振动响应幅值的响应面模型。基于遗传算法,利用Matlab软件求解响应面模型回归函数的Pareto最优解。对比分析几组优化结果,获得最佳优化设计方案,研究结果表明这种联合方法减低了轴系功耗损失约7%,能有效提高轴系传递效率,轴系振动幅值降低了2.3%,有效抑制了推进轴系振动问题,从而验证了该船舶推进轴系多目标优化方法的正确性和可行性。

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(网络首发)[J]. 上海交通大学学报, 0 : 0 . DOI: 10.16183/j.cnki.jsjtu.2023.318

Abstract

In order to reduce the power loss of the transmission equipment, improve the transmission efficiency of the propulsion shafting, and improve the vibration performance of the shafting, the multiobjective optimization design of a ship shafting experimental platform based on the response surface model and genetic algorithm is carried out in this paper. CCD star point design method is used to select reasonable experimental points in the optimized design space, and the response surface model with minimum total power consumption and vibration response amplitude is fitted. Based on genetic algorithm, Matlab software is used to solve the Pareto optimal solution of response surface model regression function. Comparing and analyzing several groups of optimization results, the optimal design scheme is obtained. The research results show that the combined method can reduce the power loss of shafting by about 7%, effectively improve the transmission efficiency of shafting, reduce the vibration amplitude of shafting by 2.3%, and effectively suppress the vibration problem of propulsion shafting, thus verifying the correctness and feasibility of the multi-objective optimization method of the ship propulsion shafting.
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