中国舰船研究2025，Vol.20Issue(2)：187-195,9.DOI:10.19693/j.issn.1673-3185.03584
基于支持向量回归的三体船非线性横摇运动辨识
SVR-based identification of nonlinear roll motion of trimaran
摘要
Abstract
[Objective]Aiming at the nonlinearity of trimaran rolling,a system identification modeling method combining CFD and support vector regression(SVR)is proposed.[Methods]Based on the STAR-CCM+platform,numerical simulations of forced rolling motion of the trimarans with different lateral layouts are performed.Then the SVR method is used to identify the parameters of the hydrodynamic moment history curve and calculate the additional mass and damping coefficient of the hull at different frequencies.[Results]The results show that the damping coefficient of the trimaran shows strong frequency dependence;the nonlinear characteristics of the damping are profound at low frequencies,and the damping component of the bilge keel accounts for a large proportion.[Conclusion]Compared with potential theory,the proposed SVR method can accurately capture the nonlinear characteristics of the trimaran's rolling motion,and better ac-count for the flow interactions between hulls.关键词
三体船/非线性横摇阻尼/计算流体力学/支持向量回归/回归分析Key words
trimaran/nonlinear roll damping/computational fluid dynamics/support vector regression/regression analysis分类
交通工程引用本文复制引用
顾跃,朱仁传,李传庆,吴铖毓..基于支持向量回归的三体船非线性横摇运动辨识[J].中国舰船研究,2025,20(2):187-195,9.基金项目
国家自然科学基金"叶企孙"科学基金资助项目(U2141228) （U2141228）
