Fang Kezhao
Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Gender:Male
Alma Mater:Dalian University of Technology
Degree:Doctoral Degree
School/Department:Dalian University of Technology
Discipline:Port, Coastal and Offshore Engineering
Business Address:Room B304, Ocean Engineering Research Institute
E-Mail:kfang@dlut.edu.cn
Hits:
Indexed by:期刊论文
Date of Publication:2013-06-01
Journal:WAVE MOTION
Included Journals:SCIE、EI
Volume:50
Issue:4
Page Number:655-675
ISSN No.:0165-2125
Key Words:Water waves; Boussinesq equations; Wave-current interaction; Dispersion; Rip currents
Abstract:A new formulation of Boussinesq-type equations for wave-current interaction is presented by means of a perturbation method and in terms of a computation velocity. The research focuses on inclusion of the mean water depth change caused by the presence of a current and the wave-current interaction. Strong and moderate current cases are considered for the derivation, and this allows a perturbation method to be used for the derivation and can reveal the effect of the current on the vertical distributions of the wave velocity and the pressure explicitly. The derived model is enhanced to include the higher accuracy dispersion of Fade [4, 4] expansion and a fully nonlinear property. Numerical simulations are performed to show the effect of the mean water depth change caused by the presence of a current on wave motions. (C) 2013 Elsevier B.V. All rights reserved.
Dr. Kezhao Fang is an associated professor (Phd Supervisor) with the State Key Laboratory of Coastal and Offshore Engineering in Dalian University of Technology. His research interests include (but not limitted to) developing numerical models for ocean and coastal waves, coastal (reef) hydrodynamics, coastal morphology. He is a member of IAHR and an invited reviewer for Journal of Fluid Mechanics, Coastal Engineering, Ocean Engineering, Applied Ocean Research, and etc. He has got a total of more than 80 papers published, the details of the papers also could be found via researchgate:
https://www.researchgate.net/profile/Kezhao_Fang2
