Synchronization of turbulence in channel flow

被引:18
作者
Wang, Mengze [1 ]
Zaki, Tamer A. [1 ]
机构
[1] Johns Hopkins Univ, Dept Mech Engn, Baltimore, MD 21218 USA
关键词
turbulence simulation; LARGE-SCALE STRUCTURES; BOUNDARY-LAYERS; ASSIMILATION; RECONSTRUCTION; PREDICTABILITY;
D O I
10.1017/jfm.2022.397
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Synchronization of turbulence in channel flow is investigated using continuous data assimilation. The flow is unknown within a region of the channel. Beyond this region the velocity field is provided, and is directly prescribed in the simulation, while the pressure is unknown throughout the entire domain. Synchronization takes place when the simulation recovers the full true state of the flow, or in other words when the missing region is accurately re-established, spontaneously. Successful synchronization depends on the orientation, location and size of the missing layer. For friction Reynolds numbers up to one thousand, wall-attached horizontal layers can synchronize as long as their thickness is less than approximately thirty wall units. When the horizontal layer is detached from the wall, the critical thickness increases with height and is proportional to the local wall-normal Taylor microscale. A flow-parallel, vertical layer that spans the height of the channel synchronizes when its spanwise width is of the order of the near-wall Taylor microscale, while the criterion for a crossflow vertical layer is set by the advection distance within a Lyapunov time scale. Finally, we demonstrate that synchronization is possible when only planar velocity data are available, rather than the full outer state, as long as the unknown region satisfies the condition for synchronization in one direction. These numerical experiments demonstrate the capacity of accurately reconstructing, or synchronizing, the missing scales of turbulence from observations, using continuous data assimilation.
引用
收藏
页数:27
相关论文
共 59 条
[1]   Very large-scale structures and their effects on the wall shear-stress fluctuations in a turbulent channel flow up to Reτ=640 [J].
Abe, H ;
Kawamura, H ;
Choi, H .
JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME, 2004, 126 (05) :835-843
[2]   Hairpin vortex organization in wall turbulence [J].
Adrian, Ronald J. .
PHYSICS OF FLUIDS, 2007, 19 (04)
[3]  
[Anonymous], 2013, Data assimilation for atmospheric, oceanic and hydrologic applications
[4]   Spectral stochastic estimation of high-Reynolds-number wall-bounded turbulence for a refined inner-outer interaction model [J].
Baars, Woutijn J. ;
Hutchins, Nicholas ;
Marusic, Ivan .
PHYSICAL REVIEW FLUIDS, 2016, 1 (05)
[5]   A 2ND-ORDER PROJECTION METHOD FOR THE INCOMPRESSIBLE NAVIER STOKES EQUATIONS [J].
BELL, JB ;
COLELLA, P ;
GLAZ, HM .
JOURNAL OF COMPUTATIONAL PHYSICS, 1989, 85 (02) :257-283
[6]   Chaotic Properties of a Turbulent Isotropic Fluid [J].
Berera, Arjun ;
Ho, Richard D. J. G. .
PHYSICAL REVIEW LETTERS, 2018, 120 (02)
[7]   Inner/outer layer interactions in turbulent boundary layers: A refined measure for the large-scale amplitude modulation mechanism [J].
Bernardini, Matteo ;
Pirozzoli, Sergio .
PHYSICS OF FLUIDS, 2011, 23 (06)
[8]   The synchronization of chaotic systems [J].
Boccaletti, S ;
Kurths, J ;
Osipov, G ;
Valladares, DL ;
Zhou, CS .
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS, 2002, 366 (1-2) :1-101
[9]   Predictability of the inverse energy cascade in 2D turbulence [J].
Boffetta, G ;
Musacchio, S .
PHYSICS OF FLUIDS, 2001, 13 (04) :1060-1062
[10]   Observation-infused simulations of high-speed boundary-layer transition [J].
Buchta, David A. ;
Zaki, Tamer A. .
JOURNAL OF FLUID MECHANICS, 2021, 916