Statistical and Temporal Characterization of Turbulent Rayleigh-Bénard Convection Boundary Layers Using Time-Resolved PIV Measurements
Statistical and Temporal Characterization of Turbulent Rayleigh-Bénard Convection Boundary Layers Using Time-Resolved PIV Measurements
复制标题
使用时间分辨 PIV 测量对湍流 Rayleigh-Bénard 对流边界层进行统计和时间表征
DOI:
10.1007/978-3-319-20388-1_28
复制
发表时间:
2016
期刊:
影响因子:
--
通讯作者:
C. Resagk
中科院分区:
文献类型:
--
作者:
C. E. Willert;R. du Puits;C. Resagk
This contribution reports on near-wall flow field measurements in turbulent Rayleigh-Bénard convection (RBC) in air at a fixed Prandtl numberand Rayleigh number. For the experiment, the large-scale convection (LSC) was confined to a rectangular box ofmade of transparent acrylic sheets. Prior video-graphic visualizations of the bottom boundary layer flow by means of laser light sheet illumination of small particles indicated the presence of highly dynamic flow behaviour at flow conditions that classical stability analysis predicts to still be in the laminar regime. While theory predicts a transition to turbulence at Reynolds numbers, the present investigation exhibits highly unsteady flow at a much lower Reynolds number ofbased on boundary layer thickness. With the help of the PIV data, it can be demonstrated that the entrainment of turbulent structures from the mean wind into the boundary layer acts, alongside with the destabilization due to inner shear, as a second mechanism on its path to turbulence. Both contributions must be considered when predicting the critical bound towards theultimate regimeof thermal convection. The measurements rely on the acquisition of long, continuous sequences of particle image velocimetry (PIV) data from which both statistical and spectral information can be retrieved. Contrary to conventional implementation of the PIV technique the field of view is restricted to a narrow strip, generally extending in wall-normal direction. In this way, both the acquisition frequency and the total number images of the employed high-speed camera are proportionally increased. The temporally oversampled data allows the use of multi-frame PIV processing algorithms which reduce measurement uncertainties with respect to standard dual-frame analysis.
登录
查看更多内容
DOI:
--
发表时间:
2011
期刊:
影响因子:
--
作者:
L. Li;C. Resagk;R. D. Puits
通讯作者:
R. D. Puits
影响因子:
3.3
作者:
R. D. Puits;C. Resagk;A. Thess
通讯作者:
R. D. Puits;C. Resagk;A. Thess
DOI:
--
发表时间:
2010
期刊:
Physical review. E, Statistical, nonlinear, and soft matter physics
影响因子:
--
作者:
M. Emran;J. Schumacher
通讯作者:
J. Schumacher
DOI:
--
发表时间:
2012
期刊:
影响因子:
--
作者:
R. D. Puits;Johannes Rilk;C. Resagk;A. Thess
通讯作者:
A. Thess
影响因子:
3.7
作者:
Shi, Nan;Emran, Mohammad S.;Schumacher, Joerg
通讯作者:
Schumacher, Joerg