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

基于Boussinesq方程的陡峭礁坪上波浪传播变形数值模拟

Hits:

Date of Publication:2022-10-10

Journal:水利水电科技进展

Issue:1

Page Number:38-42,67

ISSN No.:1006-7647

Abstract:In order to explore the feasibility of simulating wave propagation and deformation on a steep reef with the Funwave-TVD wave model based on the second-order fully nonlinear Boussinesq equation, using feasibility validation with the data form experiments and published papers, the wave propagation and deformation process on the steel reef was simulated with the model, and the wave propagation characteristics on the reef were analyzed with different wave elements and water depths. The numerical results show that when the ratio of the wave height to the water depth exceeds a certain value, the wave breaks and the wave height decreases quickly. In deep water conditions, the average wave height on the steep reef decreases to a stable value when the wave moves away from the slope toe of the reef to a distance four times the incident wavelength or further.

Note:新增回溯数据

Pre One:基于InterDyMFoam的潜礁孤立波传播数值模拟

Next One:基于GPU加速的Boussinesq类波浪传播变形数值模型

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