Session: 06-05-04 Marine Hydrodynamics - IV

Submission Number: 181341

Resistance Characteristics and Influencing Factors of a Surface Vessel in Head-on Internal Solitary Waves 

Internal solitary waves (ISWs) generated by density stratification in the ocean can significantly affect the hydrodynamic performance and energy consumption of surface vessels. In order to better understand the impact of ISWs on surface vessels, this study investigates the influence of forward speed on the added resistance of a surface vessel encountering internal solitary waves in a two-layer stratified ocean. A coupled numerical framework is developed by combining steady-state CFD-derived resistance curves with the analytical velocity field predicted by the extended Korteweg–de Vries (eKdV) equation. The method enables efficient evaluation of the total resistance as a function of the instantaneous relative velocity between the ship and the ISW-induced flow. Parametric simulations are conducted for a wide range of internal Froude numbers (U/c0=0.74-1.48), where U denotes the forward speed of the surface vessel and   c0 is the linear phase speed of the ISW. Results reveal that under the influence of ISWs, both the peak and mean added resistance of the ship vary nonlinearly with the forward speed. The study provides quantitative scaling relations and an analysis is conducted on the variation of ship resistance in the process of ISW propagation. This offers valuable guidance for speed optimization and energy-efficient navigation in stratified and internal-wave-dominated waters.

Presenting Author: Shangming Wang University of Stavanger

Presenting Author Biography: Dr. Shangming Wang is a Marie Skłodowska-Curie Fellow and working at the University of Stavanger as a Postdoctoral Researcher. His research focuses on marine hydrodynamics, including resistance and seakeeping analysis of surface vessels, multi-objective hydrodynamic optimization of offshore structures, wave attenuation performance of floating breakwaters, and performance analysis and optimization of wave energy converters.

Authors:

Shangming Wang University of Stavanger
Derya Sundvor University of Stavanger
Guang Yin University of Stavanger
Muk Chen Ong University of Stavanger