Journal of Shanghai Jiao Tong University ›› 2025, Vol. 59 ›› Issue (7): 1041-1049.doi: 10.16183/j.cnki.jsjtu.2023.431

• Naval Architecture, Ocean and Civil Engineering • Previous Articles     Next Articles

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

LIU Han, SU Yan(), ZHANG Guoqiang   

  1. School of Ocean Engineering and Technology, Sun Yat-Sen University, Zhuhai 519000, Guangdong, China
  • Received:2023-08-31 Revised:2023-11-19 Accepted:2023-12-08 Online:2025-07-28 Published:2025-07-22
  • Contact: SU Yan E-mail:suyan23@mail.sysu.edu.cn

Abstract:

ANSYS-AQWA is applied to analyze the rolling motion response of the damaged ship DTMB5415 under various working conditions. The results are compared with those in exiting literature to validate the practicality of the hydrodynamic model. Additionly, the rolling motion response database for the damaged ship is constructed. The support vector regression (SVR) algorithm is used to model the rolling motion database for identification, exploring the relationship between the operating condition factors and coefficients in the equation of roll motion. Finally, a fast prediction model for rolling motion is constructed and validated, offering a significant improvement in the prediction efficiency compared with traditional computational fluid dynamics models.

Key words: fast prediction, support vector regression (SVR), damaged ship, rolling motion

CLC Number: