A GPU-based numerical model coupling hydrodynamical and morphological processes

作     者：Jingming Hou Yongde Kang Chunhong Hu Yu Tong Baozhu Pan Junqiang Xia Jingming Hou;Yongde Kang;Chunhong Hu;Yu Tong;Baozhu Pan;Junqiang Xia

作者机构：State Key Laboratory of Eco-hydraulics in Northwest Arid Region of ChinaSchool of Water Resources and Hydroelectric EngineeringXi'an University of TechnologyXi'an University of Technology China Institute of Water Resources and Hydropower Research State Key Laboratory of Water Resources and Hydropower Engineering ScienceWuhan University 

出 版 物：《International Journal of Sediment Research》 (国际泥沙研究(英文版))

年 卷 期：2020年第35卷第4期

页      面：386-394页

核心收录：

学科分类：08[工学] 081501[工学-水文学及水资源] 081502[工学-水力学及河流动力学] 0815[工学-水利工程] 

基　　金：jointly funded by the National Natural Science Foundation of China (51609199) National Key Research and Development Program of China (2016YFC0402704) Shanxi International Science and Technology Cooperation and Exchange Program (2017KW-014) The Outstanding Youth Science Foundation (51622901) Visiting Researcher Fund Program of State Key Laboratory of Water Resources and Hydropower Engineering Science (2016HLG01) Ningxia Construction Science and Technology Plan Project in 2017:Numerical Simulation Study on Key Indicators of Sponge City Construction Effect(2017-HMKT-01) 

主　　题：Sediment simulation Shallow water equation Finite-volume method GPU 

摘      要：Sediment transport simulations are important in practical *** this study,a graphics processing unit(GPU)-based numerical model coupling hydrodynamical and morphological processes was developed to simulate water flow,sediment transport,and morphological *** at accurately predicting the sediment transport and sediment scouring processes,the model resolved the realistic features of sediment transport and used a GPU-based parallel computing technique to the accelerate *** model was created in the framework of a Godunov-type finite volume scheme to solve the shallow water equations(SWEs).The SWEs were discretized into algebraic equations by the finite volume *** fluxes of mass and momentum were computed by the Harten,Lax,and van Leer Contact(HLLC) approximate Riemann solver,and the friction source terms were calculated by the proposed a splitting point-implicit *** values were evaluated using a novel 2 D edge-based MUSCL *** code was programmed using C++and CUDA,which could run on GPUs to substantially accelerate the *** aim of the work was to develop a GPU-based numerical model to simulate hydrodynamical and morphological *** novelty is the application of the GPU techniques in the numerical model,making it possible to simulate the sediment transport and bed evolution in a high-resolution but efficient *** model was applied to two cases to evaluate bed evolution and the effects of the morphological changes on the flood patterns with high *** indicated that the GPU-based high-resolution hydro-geomorphological model was capable of reproducing morphological *** computational times for this test case on the GPU and CPU were298.1 and 4531.2 s,respectively,indicating that the GPU could accelerate the computation 15.2 *** with the traditional CPU high-grid resolution,the proposed GPU-based high-resolution numerical model improved the reconstruction speed more