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Acceleration statistics of heavy particles in turbulence

机译:湍流中重粒子的加速度统计

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摘要

We present the results of direct numerical simulations of heavy particle transport in homogeneous, isotropic, fully developed turbulence, up to resolution 512(3) (R-lambda approximate to 185). Following the trajectories of up to 120 million particles with Stokes numbers, St, in the range from 0.16 to 3.5 we are able to characterize in full detail the statistics of particle acceleration. We show that: (i) the root-mean-squared acceleration arms sharply falls off from the fluid tracer value at quite small Stokes numbers; (ii) at a given St the normalized acceleration a(rms)/(is an element of(3)u)(1/4) increases with R-lambda consistently with the trend observed for fluid tracers; (iii) the tails of the probability density function of the normalized acceleration a/a(rms) decrease with St. Two concurrent mechanisms lead to the above results: preferential concentration of particles, very effective at small St. and filtering induced by the particle response time, that takes over at larger St.
机译:我们提出了在均质,各向同性,充分发展的湍流中重粒子传输的直接数值模拟结果,分辨率高达512(3)(R-λ约为185)。跟踪多达1.2亿个斯托克斯数St在0.16到3.5之间的粒子的轨迹,我们能够详细描述粒子加速的统计信息。我们表明:(i)均方根加速臂在相当小的斯托克斯数下从流体示踪剂值急剧下降; (ii)在给定的St下,归一化加速度a(rms)/(是(3)/ nu)(1/4)的元素随R-lambda的增加与流体示踪剂观察到的趋势一致; (iii)归一化加速度a / a(rms)的概率密度函数的尾部随St减小。两种同时发生的机制导致上述结果:粒子优先集中,在小St.时非常有效,以及由粒子引起的过滤响应时间,即在较大的St.

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