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:会议论文
Date of Publication:2015-06-21
Included Journals:EI、Scopus
Volume:2015-January
Page Number:1210-1217
Abstract:A Boussinesq-type model is developed for simulating wave and runup generated by sliding masses in the coastal region. A shock-capturing Boussinesq type model, which is originally designed for simulation of coastal water waves over fixed sea bottom, is extended to include the effect of time-varying bed. Landslide is then assumed as a rigid body without changing its shape during sliding. The governing equations are solved using a hybrid finite difference and finite volume method with shock-capturing ability. Moving shoreline is specially treated in the model. The resulting numerical model is particularly efficient and computationally robust. Numerous numerical experiments, including both 1DV and 2DH cases, are conducted for model validation and the computed results are compared against the analytical solution or experimental data. Copyright ? 2015 by the International Society of Offshore and Polar Engineers (ISOPE).
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