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POD analysis of a finite-length cylinder near wake

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TLDR
In this article, a wall-mounted finite-length cylinder with an aspect ratio of 7 is investigated based on the proper orthogonal decomposition (POD) of the PIV data measured in three spanwise planes, i.e., z/d = 6, 3.5 and 1.0, near the cylinder free end, mid-span and fixed end (wall), respectively.
Abstract
The near wake of a wall-mounted finite-length square cylinder with an aspect ratio of 7 is investigated based on the proper orthogonal decomposition (POD) of the PIV data measured in three spanwise planes, i.e., z/d = 6, 3.5 and 1.0, near the cylinder free end, mid-span and fixed end (wall), respectively. The Reynolds number based on free-stream velocity (U ∞) and cylinder width (d) is 9,300. A two-dimensional (2D) square cylinder wake is also measured and analyzed at the same Reynolds number for the purpose of comparison. The structures of various POD modes show marked differences between the two flows. While the coefficients, a 1 and a 2, of the POD modes 1 and 2 occur within an annular area centered at a 1 = a 2 = 0 in the 2D wake, their counterparts are scattered all over the entire circular plane at z/d = 1.0 and 3.5 of the finite-length cylinder wake. Flow at z/d = 6 is dominated by POD mode 1, which corresponds to symmetrical vortex shedding and accounts for 54.0 % of the total turbulent kinetic energy (TKE). On the other hand, the POD modes 1 and 2, corresponding to anti-symmetrical vortex shedding, are predominant, accounting for about 45.0 % of the total TKE, at z/d = 3.5 and 1. It has been found that the flow structure may be qualitatively and quantitatively characterized by the POD coefficients. For example, at z/d = 6, a larger a 1 corresponds to a smaller length of flow reversal zone and a stronger downwash flow. At z/d = 3.5 and 1, two typical flow modes can be identified from a 1 and a 2. While large a 1 and/or a 2 correspond to anti-symmetrical vortex shedding, as in a 2D cylinder wake, small a 1 and a 2 lead to symmetrical vortex shedding. Any values between the large and small a 1 and/or a 2 correspond to the flow structure between these two typical flow modes. As such, the probability of occurrence of a flow structure may be determined from the distribution of the POD coefficients.

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Citations
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Journal ArticleDOI

Low-Reynolds-number flow around a wall-mounted square cylinder: Flow structures and onset of vortex shedding

TL;DR: In this article, a direct numerical simulation is applied to investigate three-dimensional unsteady flow characteristics around a finite wall-mounted square cylinder with an aspect ratio of 7 at a Reynolds number (Re) of 40-250.
Journal ArticleDOI

Prediction of wind loads on high-rise building using a BP neural network combined with POD

TL;DR: In this paper, a backpropagation neural network (BPNN) combined with proper orthogonal decomposition (POD-BPNN), is proposed for the prediction of the mean, root-mean-square (RMS) pressure coefficients and the time series of wind-induced pressures on a building surface, respectively.
Journal ArticleDOI

Tomographic PIV investigation on 3D wake structures for flow over a wall-mounted short cylinder

TL;DR: In this paper, a topological model of the mean wake field behind a finite circular cylinder is proposed, where the spatial locations of the typical vortex structures and their interactions are described in more detail.
Journal ArticleDOI

Influence of aspect ratio on the mean flow field of a surface-mounted finite-height square prism

TL;DR: In this paper, the effect of the aspect ratio on the flow field around a surface-mounted, finite-height square prism was investigated in a low-speed wind tunnel using particle image velocimetry.

Computers and Fluids

C. A. Wilson, +1 more
TL;DR: In this article , a large-eddy simulation of the turbulent wake generated by a horizontal circular cylinder in free-surface flows of increasing shallowness with submergence-to-diameter ratios between 0.5 and 2.1 is investigated.
References
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Journal ArticleDOI

The Proper Orthogonal Decomposition in the Analysis of Turbulent Flows

TL;DR: The Navier-Stokes equations are well-known to be a good model for turbulence as discussed by the authors, and the results of well over a century of increasingly sophisticated experiments are available at our disposal.
Journal ArticleDOI

Combining PIV, POD and vortex identification algorithms for the study of unsteady turbulent swirling flows

TL;DR: In this paper, the proper orthogonal decomposition (POD) is combined with two new vortex identification functions, Γ1 and Γ2, to identify the locations of the center and boundary of the vortex on the basis of the velocity field.
Journal ArticleDOI

A laser-Doppler velocimetry study of ensemble-averaged characteristics of the turbulent near wake of a square cylinder

TL;DR: In this article, an ensemble-averaged statistics at constant phase of the turbulent near-wake flow (Reynolds number ≈ 21400 around a square cylinder) were obtained from two-component laser-Doppler measurements.
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