Maneuverability prediction for trimaran ship under the combined influence of wind and wave

Yongxing Cui; Dong Wang; Zhiyang Guo; Yanjing Cao; Lei Zhang; Jianing Zhang

doi:10.1117/12.2686128

28 July 2023 Maneuverability prediction for trimaran ship under the combined influence of wind and wave

Yongxing Cui, Dong Wang, Zhiyang Guo, Yanjing Cao, Lei Zhang, Jianing Zhang

Proceedings Volume 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023); 127564V (2023) https://doi.org/10.1117/12.2686128
Event: 2023 3rd International Conference on Applied Mathematics, Modelling and Intelligent Computing (CAMMIC 2023), 2023, Tangshan, China

Abstract

A quick prediction of ship maneuverability is always required during the initial ship design stage, but it is always difficult to predict ship maneuverability in wind and waves. This paper presents a new method to predict trimaran ship maneuverability under wind and wave conditions by using the MMG model as the basic mathematical model of maneuverability and combining the wind and wave coupled model. The hydrodynamic derivative for the hull is estimated by using the empirical method. The wind-wave joint matrix is constructed to simulate the synchronous windwave interaction to solve the wind-wave load. By solving the equations of maneuvering motion numerically,the turning and zigzag manoeuvers are simulated for a trimaran ship in wind and waves. To validate the feasibility of the method, the predicted results are compared with the free-running model test data. The results show that the proposed can effectively predict the maneuvering characteristics and changing tendencies of rocking motion in wind and waves. It also provide an approach for predicting ship maneuverability in wind and waves at the initial design stage.

Citation Download Citation

Yongxing Cui, Dong Wang, Zhiyang Guo, Yanjing Cao, Lei Zhang, and Jianing Zhang "Maneuverability prediction for trimaran ship under the combined influence of wind and wave", Proc. SPIE 12756, 3rd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2023), 127564V (28 July 2023); https://doi.org/10.1117/12.2686128

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