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首页> 外文期刊>Mathematical Problems in Engineering >High Performance Computation of a Jet in Crossflow by Lattice Boltzmann Based Parallel Direct Numerical Simulation
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High Performance Computation of a Jet in Crossflow by Lattice Boltzmann Based Parallel Direct Numerical Simulation

机译：基于莱迪思·玻尔兹曼的并行直接数值模拟对错流射流的高性能计算

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摘要

Direct numerical simulation (DNS) of a round jet in crossflow based on lattice Boltzmann method (LBM) is carried out on multi-GPU cluster. Data parallel SIMT (single instruction multiple thread) characteristic of GPU matches the parallelism of LBM well, which leads to the high efficiency of GPU on the LBM solver. With present GPU settings (6 Nvidia Tesla K20M), the present DNS simulation can be completed in several hours. A grid system of 1.5 x 10(8) is adopted and largest jet Reynolds number reaches 3000. The jet-to-free-stream velocity ratio is set as 3.3. The jet is orthogonal to the mainstream flow direction. The validated code shows good agreement with experiments. Vortical structures of CRVP, shear-layer vortices and horseshoe vortices, are presented and analyzed based on velocity fields and vorticity distributions. Turbulent statistical quantities of Reynolds stress are also displayed. Coherent structures are revealed in a very fine resolution based on the second invariant of the velocity gradients.
机译：在多GPU集群上，基于格子Boltzmann方法（LBM）对横流中的圆形射流进行了直接数值模拟（DNS）。 GPU的数据并行SIMT（单指令多线程）特性与LBM的并行性很好地匹配，这导致GPU在LBM求解器上的高效率。使用当前的GPU设置（6 Nvidia Tesla K20M），当前的DNS模拟可以在几个小时内完成。采用1.5 x 10（8）的网格系统，最大雷诺数达到3000。射流与自由流的速度比设置为3.3。射流正交于主流方向。经过验证的代码与实验结果吻合良好。基于速度场和涡度分布，提出并分析了CRVP的涡旋结构，剪切层涡旋和马蹄涡旋。还显示了雷诺应力的湍流统计量。基于速度梯度的第二不变性，以非常精细的分辨率揭示了相干结构。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第7期|956827.1-956827.11|共11页
  • 作者

    Lei Jiang; Wang Xian; Xie Gongnan;

  • 作者单位

    Xi An Jiao Tong Univ, State Key Lab Strength & Vibrat Mech Struct, Xian 710049, Peoples R China.;

    Xi An Jiao Tong Univ, State Key Lab Strength & Vibrat Mech Struct, Xian 710049, Peoples R China.;

    Northwestern Polytech Univ, Sch Mech Engn, Xian 710049, Peoples R China.;

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