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Large Eddy Simulation by particle method coupled with Sub-Particle-Scale model and application to mixing layer flow

机译:粒子法结合子尺度模型的大涡模拟及其在混合层流中的应用

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摘要

The Moving Particle Semi-implicit method (MPS) shows great potential to simulate violent incompressible free surface flows. However, Direct Numerical Simulations of such turbulent flows by particle methods would be extremely time-consuming. Taken ideas from the Sub-Grid Scale (SGS) model in grid-based Large Eddy Simulation (LES), static and dynamic Smagorinsky models are specially designed for Sub-Particle Scale (SPS) model in MPS. These SPS models are discretized by the combination of gradient and divergence models in MPS and the semi-implicit algorithm to implement MPS-LES is developed. The widely-studied mixing layer flows are simulated to quantitatively validate the developed turbulence particle model. Both the turbulent statistical profiles and vortex pairing processes are in good agreements with experimental observations after the SPS model is adopted. Moreover, it is found that the performance of the dynamic Smagorinsky model is better than that of the static model.
机译:运动粒子半隐式方法(MPS)在模拟剧烈的不可压缩自由表面流方面显示出巨大潜力。但是,通过粒子方法对此类湍流进行直接数值模拟将非常耗时。静态和动态Smagorinsky模型从基于网格的大涡模拟(LES)中的子网格比例(SGS)模型中汲取了灵感,专门为MPS中的子颗粒比例(SPS)模型设计。通过结合MPS中的梯度模型和散度模型来离散化这些SPS模型,并开发了实现MPS-LES的半隐式算法。模拟了广泛研究的混合层流,以定量验证开发的湍流颗粒模型。采用SPS模型后,湍流的统计剖面和涡旋配对过程均与实验观察结果吻合良好。此外,发现动态Smagorinsky模型的性能优于静态模型。

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