Particle tracking velocimetry and accelerometry (PTVA) measurements applied to quasi-two-dimensional multi-scale flows
Particle tracking velocimetry and accelerometry (PTVA) measurements applied to quasi-two-dimensional multi-scale flows
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DOI：
10.1007/s00348-007-0443-7
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发表时间：
2008-01
影响因子：
2.4
通讯作者：
Simon Ferrari;L. Rossi
中科院分区：
文献类型：
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作者：
Simon Ferrari;L. Rossi
我们已经开发并验证了一种新的自适应方法，粒子跟踪测速和加速度计（PTVA），从粒子跟踪（PT）数据的后处理来测量速度和加速度。这种方法被证明是更准确的非自适应方法的基础上PT：误差约六倍小的速度测量和约四倍小的加速度。我们将这种方法应用于实验室中产生和控制的类似于流体的流动。利用我们的多尺度层流的欧拉可重复性，我们能够提取加速度场，α，和所有的Navier-Stokes方程的条款。为了完成这一点，我们提取和提取字段。最后，我们比较的概率密度函数的加速度分量，我们的类似的流动与高度湍流的流动之一，并表明它们是相似的。这些PTVA结果的质量及其稳健性（特别是对局部对流）非常令人鼓舞。这种方法允许访问到一个更深的洞察到的类粘性流和它的高精度可以适用于更广泛的流动。
We have developed and validated a new adaptive method, particle tracking velocimetry and accelerometry (PTVA), to measure velocity and acceleration from the post-processing of particle tracking (PT) data. This method is shown to be more accurate than non-adaptive methods based on PT: errors are about six times smaller on velocity measurements and about four times smaller on acceleration ones. We apply this method to a turbulent-like flow generated and controlled in the laboratory. Taking advantage of the Eulerian repeatability of our multi-scale laminar flow, we are able to extract the acceleration field,a, and all terms of Navier–Stokes equation. To complete this we extractu·aand ∇·afields. We finally compare the probability density function of the acceleration components of our turbulent-like flow with one of the highly turbulent flows and show that they are similar. The quality of these PTVA results and their robustness (in particular to local convection) are extremely encouraging. This method allows access to a deeper insight into the physic of turbulent-like flows and its high accuracy may apply to a broader range of flows.