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


Paper Publications

双层Boussinesq水波方程

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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

Next One:双层Boussinesq水波方程(英文)

Profile

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