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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:水利工程系
学科:港口、海岸及近海工程
办公地点:海洋工程研究所A204
电子邮箱:kfang@dlut.edu.cn
Simulation of unidirectional propagating wave trains in deep water using a fully non-hydrostatic model
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论文类型:期刊论文
发表时间:2019-05-15
发表刊物:OCEAN ENGINEERING
收录刊物:SCIE、EI
卷号:180
页面范围:254-266
ISSN号:0029-8018
关键字:Non-hydrostatic model; Water waves; Modulational instability; Extreme waves; Kinematics
摘要:A new fully non-hydrostatic model is developed and then applied to simulate the evolution of unidirectional propagating waves in intermediate and deep water. The ability and efficiency of the model are examined using experimental data. Then, the evolutions of initially uniform and perturbed wave trains are simulated. Frequency downshift phenomena occur during the wave evolution. For a small initial steepness, there are approximately two incidents of partial recurrence. However, with increasing initial wave steepness, the energy transfers from the lower sideband to the carried wave decreases, and a permanent frequency downshift is more likely to occur. For the initially imposed wave trains, if the wave steepness is lower than 0.11, an approximate Fermi-Pasta-Ulam (FPU) phenomenon occurs. For wave trains with a steepness of approximately 0.13, a partial recurrence still can appear. Recurrence is not observed in larger wave trains. Additionally, the kinematics of extreme waves formed during the wave evolution are also investigated, and the non-dimensional horizontal velocity profiles under the extreme crests are converged and can be well modelled by the theoretically exponential curve. In addition, the crest speeds of the steep waves are less than the linear wave speeds. It is found that larger waves have slower crest speeds.