Abstract

A pattern-recognition procedure designed to extract footprints of organized structures from turbulent signals is developed and used to analyse the large-eddy organization of several turbulent wake flows. The pattern-recognition technique is intended to be a general-purpose analytical tool that makes no use of specific flow characteristics, and that can be implemented as a computer code independent of the types of signals to be processed. The technique is applied to analyse the wake generated by a single cylinder at downstream positions ranging from x/D = 10 to x/D = 220. Also the structural features of the wakes behind a rotating cylinder, two cylinders of unequal diameters and two cylinders of equal diameter, one rotating, are examined at x/D = 140. In the near wake the large-scale motions detected are Kármán vortices, whose periodic activity persists up to 60 diameters. Further downstream the most significant coherent structures detected are single and double rollers with shear-aligned vorticity, whose dimensions and velocity intensities are properly scaled by the half-width of the wake and the local r.m.s. values, respectively. The similarities observed in the organized motions identified in the different wakes at x/D = 140, suggest that the roller organization may be an intrinsic characteristic of fully developed turbulent plane wake flows, irrespective of initial conditions.

Keywords

WakeTurbulencePhysicsVortexVorticityCylinderMechanicsPlane (geometry)Lagrangian coherent structuresVector fieldFlow (mathematics)Classical mechanicsGeometryMathematics

Affiliated Institutions

Related Publications

Publication Info

Year
1989
Type
article
Volume
198
Pages
27-64
Citations
59
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

59
OpenAlex

Cite This

J. A. Ferré, Francesc Giralt (1989). Pattern-recognition analysis of the velocity field in plane turbulent wakes. Journal of Fluid Mechanics , 198 , 27-64. https://doi.org/10.1017/s0022112089000029

Identifiers

DOI
10.1017/s0022112089000029