Abstract
The Moving Particle Semi-implicit (MPS) method has been widely used in the field of computational fluid dynamics in recent years. However, the inefficient drawback of MPS method limits its three-dimensional (3D) large-scale applications. In order to overcome this disadvantage, a novel acceleration technique, graphics processing unit (GPU) parallel computing, is applied in MPS. Based on modified MPS method and GPU technique, an in-house solver MPSGPU-SJTU has been developed by using Compute Unified Device Architecture (CUDA) language. In this paper, 3D dam break and sloshing, two typical violent flows with large deformation and nonlinear fragmentation of free surface are simulated by MPSGPU-SJTU solver. In dam break case, the results of fluid flied, water front, wave height and impact pressure by GPU simulation are compared to those by CPU calculation, experimental research, Smooth Particle Hydrodynamics (SPH) and Boundary Element Method (BEM) simulations. And the comparison of fluid field and impact pressure among GPU, CPU and experiment is made in sloshing flow. The accuracy of GPU solver is verified by these comparisons. Moreover, the computation time of every part in each calculation step is compared between GPU and CPU solvers. The results show that computational efficiency is improved dramatically by employing GPU acceleration technique.
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