基于SVR的破损船舶横摇运动快速预报(网络首发)

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  • 中山大学海洋工程与技术学院

网络出版日期: 2023-12-13

基金资助

国家重点研发计划(2021YFC2800700)资助项目

Fast Prediction for the Roll Motion of a Damaged Ship Based on SVR

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  • School of Ocean Engineering and Technology, Sun Yat-Sen University, Zhuhai 519000, Guangdong, China

Online published: 2023-12-13

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。

本文引用格式

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, 0 : 0 . DOI: 10.16183/j.cnki.jsjtu.2023.431

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.
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