Numerical Modeling of Wind–Wave Interaction

2016 ◽  
pp. 175-212
Author(s):  
Dmitry V. Chalikov
2018 ◽  
Vol 26 ◽  
pp. 162-173 ◽  
Author(s):  
Xuanting Hao ◽  
Tao Cao ◽  
Zixuan Yang ◽  
Tianyi Li ◽  
Lian Shen

2008 ◽  
Vol 31 (7) ◽  
pp. 1004-1014 ◽  
Author(s):  
Xiaobo Chao ◽  
Yafei Jia ◽  
F. Douglas Shields ◽  
Sam S.Y. Wang ◽  
Charles M. Cooper

2017 ◽  
Vol 143 ◽  
pp. 02101
Author(s):  
Daniil Sergeev ◽  
Alexander Kandaurov ◽  
Yuliya Troitskaya ◽  
Guillemette Caulliez ◽  
Maximilian Bopp ◽  
...  

2011 ◽  
Vol 41 (8) ◽  
pp. 1421-1454 ◽  
Author(s):  
Yu. Troitskaya ◽  
D. Sergeev ◽  
O. Ermakova ◽  
G. Balandina

Abstract A turbulent airflow with a centerline velocity of 4 m s−1 above 2.5-Hz mechanically generated gravity waves of different amplitudes has been studied in experiments using the particle image velocimetry (PIV) technique. Direct measurements of the instantaneous flow velocity fields above a curvilinear interface demonstrating flow separation are presented. Because the airflow above the wavy water surface is turbulent and nonstationary, the individual vector fields are conditionally averaged sampled on the phase of the water elevation. The flow patterns of the phase-averaged fields are relatively smooth. Because the averaged flow does not show any strongly nonlinear effects, the quasi-linear approximation can be used. The parameters obtained by the flow averaging are compared with the theoretical results obtained within the theoretical quasi-linear model of a turbulent boundary layer above the wavy water surface. The wave-induced pressure disturbances in the airflow are calculated using the retrieved statistical ensemble of wind flow velocities. The energy flux from the wind to waves and the wind–wave interaction parameter are estimated using the obtained wave-induced pressure disturbances. The estimated values of the wind–wave interaction parameter are in a good agreement with the theory.


Author(s):  
L. A. Giménez-Curto ◽  
M. A. Corniero Lera ◽  
Philip L.-F. Liu ◽  
Pengzhi Lin ◽  
Kuang-An Chang ◽  
...  

Author(s):  
Gerbrant Ph. Van Vledder

Causes of wind-wave misalignment, the difference between wind and mean wave direction, are investigated for stationary and non-stationary situations using numerical modeling. This includes the effects of upwind fetch restrictions, refraction, choice of source terms and integration time step on wind-wave misalignment are illustrated. A statistical analysis is performed to quantify wind-wave misalignment as a function of wind speed and significant wave height. In addition, the effect of spectral partitioning in separate wind sea and swell systems on the statistics of wind-wave misalignment is illustrated. Apart from the differences in mean direction, attention is given to the associated directional spreading. Implications for the design of offshore structures and the movements of moored ships are discussed.


ACC Journal ◽  
2019 ◽  
Vol 25 (1) ◽  
pp. 28-38
Author(s):  
Alexander Kandaurov ◽  
Daniil Sergeev ◽  
Yuliya Troitskaya

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