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为了更好地模拟分析地下空间阶梯流动力学规律和提升数值计算效率,利用光滑粒子流体动力学方法(SPH),并借助GPU并行计算技术对地下空间阶梯流进行数值建模和计算。基于GPU并行化加速的SPH地下空间阶梯流模型的数值计算结果表明:该模型不仅计算获得较好的阶梯流流态,而且计算效率大幅度提高,比串行SPH模型和移动粒子半隐方法(MPS)模型快数百倍,为研究大尺度城市街区洪水提供了一个比较有前景的研究途径。
In order to better simulate the law of stepped flow dynamics in subsurface space and improve the numerical computational efficiency, smooth particle hydrodynamics (SPH) method is used to calculate and calculate numerical values of staircase flow in underground space with GPU parallel computing. The numerical results of SPH terrestrial spatial staircase flow model based on GPU parallelization acceleration show that this model not only achieves better flow regime but also improves the computational efficiency significantly. Compared with the serial SPH model and the moving particle semi-implicit method MPS) model hundreds of times faster, providing a more promising research approach for the study of large-scale urban flooding.