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GPU-accelerated FVM-RANS Hybrid Solver for Simulating Two-phase Flow beneath a Hovering Rotor

机译:GPU加速的FVM-RANS混合求解器,用于模拟悬停转子下方的两相流

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摘要

The particle-laden flowfield beneath a hovering micro-rotor is simulated using a hybrid FVM-RANSrnsolver coupled with a Lagrangian sediment tracking algorithm. The present work attempts to examinernthe capabilities of a high-fidelity CFD analysis together with a sediment tracking algorithm to analyzernthe evolution of brownout clouds. Both the single-phase and dual-phase flowfields are simulated andrncompared to available experimental data. The variation of the phenomenological attributes of the cloudrnevolution as a function of particle size was analyzed and found to agree with experimental evidence. Tornenable single-desktop simulations, all components of this methodology are designed to run on doubleprecision,rnprogrammable Graphics Processing Units (GPUs). This hybrid implementation uses a multigranular,rnparallel approach to demonstrate significant performance gains over equivalent single-corernCPU simulations.
机译:使用混合FVM-RANSrnsolver和拉格朗日泥沙追踪算法,模拟了悬停的微转子下方的充满粒子的流场。目前的工作试图检验高保真CFD分析的能力以及沉积物跟踪算法来分析掉电云的演变。模拟了单相和双相流场,并与现有的实验数据进行了比较。分析了Cloudrnevolution的现象学属性随粒度变化的变化,发现与实验证据一致。令人震惊的单桌面模拟,此方法的所有组件均设计为在双精度可编程可编程图形处理单元(GPU)上运行。这种混合实现使用多粒度并行方法来展示与同等单核CPU仿真相比显着的性能提升。

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