1. The Effects on Water Particle Velocity of Wave Peaks Induced by Nonlinearity under Different Time Scales
- Author
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Yini Yang, Di Wu, Shuya Xie, Aifeng Tao, and Jun Fan
- Subjects
010504 meteorology & atmospheric sciences ,Naval architecture. Shipbuilding. Marine engineering ,VM1-989 ,Ocean Engineering ,GC1-1581 ,Deformation (meteorology) ,Oceanography ,01 natural sciences ,Instability ,010305 fluids & plasmas ,deformation degree ,0103 physical sciences ,Wave height ,Initial value problem ,Stokes wave ,water particle velocity of the wave peaks ,Rogue wave ,0105 earth and related environmental sciences ,Water Science and Technology ,Civil and Structural Engineering ,Physics ,modulation instability ,nonlinearity ,Mechanics ,Exponential function ,Stage (hydrology) ,high-order spectral method - Abstract
The water particle velocity of the wave peaks is closely related to the wave load borne by offshore structures. It is of great value for marine disaster prevention to study the water particle velocity of nonlinear extreme waves represented by Freak waves. This study applies the High-order Spectral Method (HOS) numerical model to analyze the characteristics and influencing factors of the water particle velocity of Freak wave peak with two different generation mechanisms under the initial condition of a weakly modulated Stokes wave train. Our results show that the water particle velocity of the wave peak increases linearly with wave height and initial wave steepness in the evolution stage of modulation instability. While in the later stage, the relationship becomes exponential. Under the condition of similar wave heights, the deformation degrees of Freak waves with different generation mechanisms are distinct, the deformation degree of modulation instability stage is smaller than that of the later stage. The water particle velocity of the wave peaks increases with the deformation degrees. Furthermore, the correlation between wave peak height and water particle velocity is a quadratic function. This provides a theoretical basis for further understanding of nonlinear waves and the prediction of marine disasters.
- Published
- 2021