2019
DOI: 10.3390/w11102121
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Three-Dimensional Numerical Method for Simulating Large-Scale Free Water Surface by Massive Parallel Computing on a GPU

Abstract: Water wave dynamics and its engineering application have always been a key issue in the field of hydraulics, and effective and efficient numerical methods need to be proposed to perform three-dimensional (3-D) simulation of large-scale water fluctuation in engineering practice. A single-phase free-surface lattice Boltzmann method (SPFS-LB method) is coupled with a large-eddy simulation approach for simulating large-scale free water surface flows, and the simulation is accelerated on a GPU (graphic processing u… Show more

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Cited by 2 publications
(2 citation statements)
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“…Fine meshes can be necessary in numerical simulations to represent irregular topographies and to obtain more accurate results. On the other hand, more computational efforts and times are required for 3-D solutions of large-scale real-case dam-break problems in the presence of artificial and natural obstacles such as bridges, buildings, dikes, and trees [39,51,52]. In order to model flow around 3D structures such as bridges using fine mesh to capture localized flow details, the hybrid models combining RANS-based 3D flow and shallow water models in one simulation can also be used to reduce the computation time [44].…”
Section: Comparison Between Experimental and Numerical Results For Trmentioning
confidence: 99%
“…Fine meshes can be necessary in numerical simulations to represent irregular topographies and to obtain more accurate results. On the other hand, more computational efforts and times are required for 3-D solutions of large-scale real-case dam-break problems in the presence of artificial and natural obstacles such as bridges, buildings, dikes, and trees [39,51,52]. In order to model flow around 3D structures such as bridges using fine mesh to capture localized flow details, the hybrid models combining RANS-based 3D flow and shallow water models in one simulation can also be used to reduce the computation time [44].…”
Section: Comparison Between Experimental and Numerical Results For Trmentioning
confidence: 99%
“…where the weight factor w α = {4/9, 1/9, 1/9, 1/9, 1/9, 1/36, 1/36, 1/36, 1/36}. Water depth and velocity of the fluid are given by Equation (5). The multi-relaxation time (MRT) collision operator has been adopted [33].…”
Section: D Shallow Water Submodelmentioning
confidence: 99%