Models for turbulent plane Couette flow using the proper orthogonal decomposition

2002 ◽  
Vol 14 (7) ◽  
pp. 2493 ◽  
Author(s):  
J. Moehlis ◽  
T. R. Smith ◽  
P. Holmes ◽  
H. Faisst
Keyword(s):  
Proper Orthogonal Decomposition ◽  
Couette Flow ◽  
Orthogonal Decomposition ◽  
Plane Couette Flow ◽  
Turbulent Plane ◽  
Proper Orthogonal

Examination of large-scale structures in a turbulent plane mixing layer. Part 1. Proper orthogonal decomposition

1999 ◽  
Vol 391 ◽  
pp. 91-122 ◽  
Author(s):  
J. DELVILLE ◽  
L. UKEILEY ◽  
L. CORDIER ◽  
J. P. BONNET ◽  
M. GLAUSER
Keyword(s):  
Proper Orthogonal Decomposition ◽  
Large Scale ◽  
Mixing Layer ◽  
Orthogonal Decomposition ◽  
Plane Mixing Layer ◽  
Large Scale Structures ◽  
The Mean ◽  
Scale Structures ◽  
Turbulent Plane ◽  
Proper Orthogonal

Large-scale structures in a plane turbulent mixing layer are studied through the use of the proper orthogonal decomposition (POD). Extensive experimental measurements are obtained in a turbulent plane mixing layer by means of two cross-wire rakes aligned normal to the direction of the mean shear and perpendicular to the mean flow direction. The measurements are acquired well into the asymptotic region. From the measured velocities the two-point spectral tensor is calculated as a function of separation in the cross-stream direction and spanwise and streamwise wavenumbers. The continuity equation is then used for the calculation of the non-measured components of the tensor. The POD is applied using the cross-spectral tensor as its kernel. This decomposition yields an optimal basis set in the mean square sense. The energy contained in the POD modes converges rapidly with the first mode being dominant (49% of the turbulent kinetic energy). Examination of these modes shows that the first mode contains evidence of both known flow organizations in the mixing layer, i.e. quasi-two-dimensional spanwise structures and streamwise aligned vortices. Using the shot-noise theory the dominant mode of the POD is transformed back into physical space. This structure is also indicative of the known flow organizations.

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