TY - JOUR
T1 - On the spatial organization of hairpin packets in a turbulent boundary layer at low-to-moderate Reynolds number
AU - Deng, Sichao
AU - Pan, Chong
AU - Wang, Jinjun
AU - He, Guosheng
N1 - Publisher Copyright:
© 2018 Cambridge University Press.
PY - 2018/6/10
Y1 - 2018/6/10
N2 - The present study is devoted to characterizing the coherent organization of vortical structures, which can be fitted into the paradigm of the hairpin-packet model, in the streamwise-wall-normal plane of a canonical turbulent boundary layer at Reτ = 377-1093. Proper orthogonal decomposition (POD) of the planar velocity fields measured via two-dimensional particle image velocimetry, together with a spatio-temporal coherence analysis, shows that the first four leading-order POD modes share both geometric similarity and dynamic coherence and jointly depict the downstream convection of the large-scale Q2/Q4 events, which can be regarded as the low-order imprints of the hairpin packets. A simple low-order indicator is then proposed to extract the inclined interfaces of the hairpin packets, based on which a two-point conditional correlation analysis forms a statistical picture of the spatial organization of multiple prograde vortices aligned along the interface within one packet. A saturation of the self-similar growth of the streamwise gap between two neighbouring vortices is seen. This implies a detachment of the hairpin packets from the inner layer. Both the detachment height and the saturated streamwise spacing are found to scale as Re1/2τ.
AB - The present study is devoted to characterizing the coherent organization of vortical structures, which can be fitted into the paradigm of the hairpin-packet model, in the streamwise-wall-normal plane of a canonical turbulent boundary layer at Reτ = 377-1093. Proper orthogonal decomposition (POD) of the planar velocity fields measured via two-dimensional particle image velocimetry, together with a spatio-temporal coherence analysis, shows that the first four leading-order POD modes share both geometric similarity and dynamic coherence and jointly depict the downstream convection of the large-scale Q2/Q4 events, which can be regarded as the low-order imprints of the hairpin packets. A simple low-order indicator is then proposed to extract the inclined interfaces of the hairpin packets, based on which a two-point conditional correlation analysis forms a statistical picture of the spatial organization of multiple prograde vortices aligned along the interface within one packet. A saturation of the self-similar growth of the streamwise gap between two neighbouring vortices is seen. This implies a detachment of the hairpin packets from the inner layer. Both the detachment height and the saturated streamwise spacing are found to scale as Re1/2τ.
KW - low-dimensional models
KW - turbulent boundary layers
UR - http://www.scopus.com/inward/record.url?scp=85045065472&partnerID=8YFLogxK
U2 - 10.1017/jfm.2018.160
DO - 10.1017/jfm.2018.160
M3 - Article
AN - SCOPUS:85045065472
SN - 0022-1120
VL - 844
SP - 635
EP - 668
JO - Journal of Fluid Mechanics
JF - Journal of Fluid Mechanics
ER -