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:
Date of Publication:2022-10-10
Journal:船舶力学
Affiliation of Author(s):建设工程学部
Issue:9
Page Number:1072-1084
ISSN No.:1007-7294
Abstract:A double-layer depth-averaged Boussinesq-type model for wave propagation over an un-even bottom is derived. The governing equations are formulated in two depth-averaged velocities within each water layer and of the second-order fully nonlinearity. To improve the model properties, high-er-order terms are introduced to momentum equations and theoretical analyses are made to investi-gate the linear dispersive and nonlinear properties. The optimized model equations show good dis-persion property up to kh≈6 within 0.3%error, and the second nonlinear characteristics are optimized to kh≈6 within 10%error. Based on finite difference method and a composite fourth order Adams-Bashforth-Moulton time integration, one-dimensional equations are solved numerically on non-stag-gered grids. Regular wave evolution over a submerged breakwater is simulated and the computation-al results are compared with the experimental data, the good agreements are found.
Note:新增回溯数据
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