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Velocity and acceleration statistics in particle-laden turbulent swirling flows
Physical Review Fluids ( IF 2.5 ) Pub Date : 2020-06-11 , DOI: 10.1103/physrevfluids.5.064605
Sofía Angriman , Pablo D. Mininni , Pablo J. Cobelli

We present a comparison of different particles' velocity and acceleration statistics in two paradigmatic turbulent swirling flows: the von Kármán flow in a laboratory experiment and the Taylor-Green flow in direct numerical simulations. Tracers, as well as inertial particles, are considered. Results indicate that, in spite of the differences in boundary conditions and forcing mechanisms, scaling properties and statistical quantities reveal similarities between both flows, pointing to new methods to calibrate and compare models for particles dynamics in numerical simulations, as well as to characterize the dynamics of particles in simulations and experiments. The comparison also allows us to identify contributions of the mean flow to the inertial-range scaling of the particles' velocity structure functions.

中文翻译:

载有颗粒的湍流中的速度和加速度统计

我们在两种典型的湍流回旋流中比较了不同粒子的速度和加速度统计量:实验室实验中的vonKármán流和直接数值模拟中的Taylor-Green流。考虑了示踪剂以及惯性粒子。结果表明,尽管边界条件和强迫机制存在差异,但缩放特性和统计量仍显示了两种流之间的相似性,这为在数值模拟中标定和比较粒子动力学模型以及表征动力学的新方法指明了方向。模拟和实验中的粒子数量。比较还使我们能够确定平均流对粒子速度结构函数的惯性范围缩放的贡献。
更新日期:2020-06-11
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