船体曲面结构优化设计是船舶设计中的重要环节,可以提高船舶的动力学性能和效率。本文提出一种基于非均匀有理B样条(NURBS)和小波变换的船体曲面结构优化设计方法,使用NURBS曲线和曲面建模方法对船体进行建模,基于NURBS曲线和曲面的灵活性和小波变换分解算法,结合Open GL软件对船体曲线和曲面的形状进行寻优设计。结果表明,基于NURBS和小波变换的船体曲线、曲面优化设计的效率高、精度高。
The optimal design of hull surface structure is an important part of ship design, which can improve the dynamic performance and efficiency of the ship. This paper proposes an optimization design method of hull surface structure based on non-uniform rational B-spline (NURBS) and wavelet transform. NURBS curve and surface modeling method is used to model the hull, and the flexibility of NURBS curve and surface and the decomposition algorithm of wavelet transform are based on it. The results show that the optimization design of hull curves and surfaces based on NURBS and wavelet transform is efficient and accurate.
2023,45(19): 31-34 收稿日期:2023-04-03
DOI:10.3404/j.issn.1672-7649.2023.19.005
分类号:TU753.24
基金项目:2018全国教育信息技术研究立项课题资助项目(183230001)
作者简介:万玉华(1985-),女,实验师,研究方向为船舶工程设计与制造
参考文献:
[1] 贾萌珊, 齐子元, 薛德庆,等. 基于GASA-BP-BiLSTM的轴承故障预测研究[J]. 组合机床与自动化加工技术, 2023(5): 148-151+155.
JIA Meng-shan, QI Zi-yuan, XUE De-qing, et al. Research on bearing failure prediction based on GASA-BP-BiLSTM[J]. Combined Machine Tool and Automatic Processing Technology, 2023(5): 148-151+155.
[2] 朱伏平, 秦琴, 杨方燕,等. 基于信息融合技术的滚动轴承故障预测方法[J]. 机械设计, 2023, 40(1): 56-64.
ZHU Fu-ping, QIN Qin, YANG Fang-yan, et al. Rolling bearing failure prediction method based on information fusion technology[J]. Mechanical Design, 2023, 40(1): 56-64.
[3] 刘桂然. 基于BP-神经网络的风电主轴承故障预测[J]. 科学技术创新, 2020(26): 18-19.
LIU Gui-ran. Fault prediction of main bearing of wind power based on BP-neural network[J]. Science and Technology Innovation, 2020(26): 18-19.
[4] 李泓洋, 万烂军, 李长云,等. 基于神经网络和证据理论的滚动轴承故障预测方法[J]. 湖南工业大学学报, 2020, 34(4): 35-41.
LI Hong-yang, WAN Lan-jun, LI Chang-yun, et al. Rolling bearing failure prediction method based on neural network and evidence theory[J]. Journal of Hunan University of Technology, 2020, 34(4): 35-41.