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DIRECT NUMERICAL SIMULATION OF TURBULENT FLOWS LADEN WITH FINITE-SIZE PARTICLES

机译:具有有限尺寸粒子的湍流流量的直接数值模拟

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The accuracy of the Immersed Boundary Method (IBM) of Uhlmann (2005) for particulate flows has been drastically improved, while the efficiency of the method is retained. The main modifications are: (1) the implementation of the multi-direct forcing scheme of Luo et al. (2007), (2) a slight retraction of the Lagrangian grid points from the surface towards the interior of a particle with a fraction of the grid spacing and (3) direct account of the acceleration of the fluid contained within the space occupied by the particles (Kempe et al., 2009). The effects of multi-direct forcing and retraction of the Lagrangian grid points are studied for slow flow through a regular array of fixed spheres. Increasing the number of iterations in multi-direct forcing improves the approximation of the desired no-slip / no-penetration conditions at the particle's surface. Two iterations are considered as optimal for increasing the accuracy with little loss in efficiency. Retraction appears to influence the order-of-convergence of the IBM: at a retraction of 0.3 times the grid spacing the IBM becomes second-order against the near first-order accuracy of the original method without retraction.
机译:用于颗粒流的UHLMANN(2005)的浸没边界法(IBM)的准确性已经大大提高,而该方法的效率被保留。主要修改是:(1)Luo等人的多直接迫使方案的实施。 (2)(2)从表面朝向粒子的内部略微缩回拉格朗日网格点,栅格间隔的一部分和(3)直接叙述了所占用空间内的流体的加速度粒子(Kempe等,2009)。研究了拉格朗日网格点的多直接矫正和缩回的影响,通过常规的固定球阵列进行缓冲。增加多直接迫使中的迭代次数改善了颗粒表面上所需的无滑移/无渗透条件的近似。两次迭代被认为是最佳的,对于提高效率损失很小。 Retraction似乎影响IBM的收敛令:在返回0.3倍的缩回时,IBM将IBM变为抵御原始方法的近一级精度而不收缩。

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