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
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Date of Publication:2022-10-10
Journal:水科学进展
Affiliation of Author(s):建设工程学部
Issue:1
Page Number:96-105
ISSN No.:1001-6791
Abstract:Based on the finite-volume method and a structured mesh system,a numerical model for simulating landslide-generated waves is developed.The governing equations are the two-dimensional nonlinear shallow water (NLSW) equations with the consideration of a dynamic seabed.The central upwind scheme is used to compute the numerical interface flux.The second-order MUSCL method for variables reconstruction,local bed modification and implicit treatment to bottom friction are used to ensure the properties of well-balanced,conservative and non-negative water depth,as well as the ability to deal with the moving shoreline.The second-order Runge-Kutta method with Strong Stability Preserving (SSP) is adopted to perform the time marching.A series of benchmark cases are simulated and the numerical results are compared with the analytical solution,experimental data and numerical results from other models.It is found the present model can simulate the generation,propagation and runup of the landslide-generated waves for the considered cases with reasonable accuracy.
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
