Experimental study of stochastic estimation of turbulent conditional averages
Abstract
Conditional averages of turbulent flow quantities can be approximated in terms of unconditional correlation data by means of stochastic estimation. The validity and the accuracy of this procedure are investigated by comparing stochastic estimates to conditional averages measured in three high Reynolds number turbulent flows: the axisymmetric shear layer of a round jet, a plane shear layer, and pipe flow. Comparisons are made for quantities that are separated from the conditional data in time or in space, and for turbulent pressures, as well as turbulent velocities. In each case, the linear estimate accurately represents large scale structure. Nonlinear quadratic estimation shows little improvement over linear estimation.
 Publication:

6th Symposium on Turbulent Shear Flows
 Pub Date:
 1987
 Bibcode:
 1987stsf.proc....6A
 Keywords:

 High Reynolds Number;
 NavierStokes Equation;
 Pipe Flow;
 Shear Layers;
 Stochastic Processes;
 Turbulent Flow;
 Computational Fluid Dynamics;
 Computerized Simulation;
 Shear Flow;
 Fluid Mechanics and Heat Transfer