中国舰船研究2025，Vol.20Issue(2)：227-234,8.DOI:10.19693/j.issn.1673-3185.03570
基于点云特征提取的波浪增阻预报及对比研究
Added wave resistance prediction and comparative study based on point cloud feature extraction
摘要
Abstract
[Objective]In order to rapidly forecast added wave resistance in the ship design stage,this paper proposes a neural network based on point cloud feature extraction.[Methods]Taking the Series 60 as an example,the corresponding added wave resistance prediction model is set up and compared with the tradition-al model based on the principal design parameters.By referring to S60 ship tests,the characteristics of the point cloud prediction model in terms of accuracy and stability are discussed,as well as the method of pre-training and optimizing the model using ship calm-water resistance data.[Results]The prediction results in-dicate that the proposed model can perform well in all five S60 ships,with the coefficient of determination R2 ranging from 0.74 to 0.90,while the traditional model based on the design parameters fails to make the correct prediction in some case.[Conclusion]This study provides new insights and a new approach to predicting added resistance in ship design,and may help to optimize ship forms by fully considering the impact of added wave resistance in the design phase.关键词
波浪增阻/船舶设计/点云特征提取/预训练Key words
added wave resistance/naval architecture/point cloud feature extraction/pre-training分类
交通工程引用本文复制引用
吴铭峰,朱仁传,徐德康..基于点云特征提取的波浪增阻预报及对比研究[J].中国舰船研究,2025,20(2):227-234,8.基金项目
上海交通大学"深蓝计划"资助项目(SL2020ZD104) （SL2020ZD104）
