上海交通大学学报
• • 下一篇
基金资助:
摘要： 基于ANSYS-AQWA求解破损舰船DTMB5415在多个工况下的横摇运动响应，通过与文献结果对比验证数值模型的有效性，并基于数值结果构建破损船舶横摇运动响应数据库；采用支持向量回归算法对横摇运动数据库进行辨识建模，探究工况要素与横摇运动方程系数之间的关系，构建横摇运动响应快速预报模型并进行验证，该方法相较于传统计算流体力学模型，预报效率显著提高。
关键词: 快速预报, 支持向量回归, 破损船舶, 横摇运动
Abstract: ANSYS-AQWA is applied to analyze the rolling motion response of the damaged ship DTMB5415 under several working conditions, and compared with the results in the literature, to verify the practicality of the hydrodynamic model, and the rolling motion response database of the damaged ship is constructed. The support vector regression algorithm is used to model the rolling motion database for identification, and the relationship between the working condition elements and coefficients in the equation of roll motion is investigated, and a fast prediction model for rolling motion is constructed and validated, which is a significant improvement in the prediction efficiency compared with the traditional computational fluid dynamics models.
Key words: fast prediction, support vector regression, damaged ship, rolling motion
中图分类号:
U661.321
刘涵, 苏焱, 张国强. 基于SVR的破损船舶横摇运动快速预报（网络首发）[J]. 上海交通大学学报, doi: 10.16183/j.cnki.jsjtu.2023.431.
LIU Han, SU Yan, ZHANG Guoqiang. Fast Prediction for the Roll Motion of a Damaged Ship Based on SVR[J]. Journal of Shanghai Jiao Tong University, doi: 10.16183/j.cnki.jsjtu.2023.431.
导出引用管理器 EndNote|Ris|BibTeX
链接本文: https://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2023.431
