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Reynolds number effects in separating and reattaching flows with passive scalar transport

Published online by Cambridge University Press:  02 April 2024

A. Cimarelli*
Affiliation:
Dipartimento di Ingegneria ‘Enzo Ferrari’, Università di Modena e Reggio Emilia, 41125 Modena, Italy
R. Corsini
Affiliation:
Dipartimento di Ingegneria ‘Enzo Ferrari’, Università di Modena e Reggio Emilia, 41125 Modena, Italy
E. Stalio
Affiliation:
Dipartimento di Ingegneria ‘Enzo Ferrari’, Università di Modena e Reggio Emilia, 41125 Modena, Italy
*
†Email address for correspondence: andrea.cimarelli@unimore.it

Abstract

A study of the physics of separating and reattaching flows around bodies with sharp edges is reported. Data from direct numerical simulations of the flow around a rectangular cylinder with aspect ratio 5 at different Reynolds numbers are used. The flow is decomposed into multiple interacting flow phenomena such as the laminar boundary layer in the front face, the separated shear layer, the flow impingement at reattachment, the reverse boundary layer within the recirculating bubble and the near- and far-wake flow. A detailed analysis of the physics of these phenomena is provided, including the slow modulation induced by large-scale instabilities related with vortex shedding. The entrainment phenomena acting along the separated shear layer and their unbalance between its inner and outer sides are recognised as fundamental mechanisms determining the tendency of the flow to reattach and the overall fluxes of momentum and heat. The behaviour of entrainment is found to be strictly related with the shear-layer velocity difference that in turn is determined by the behaviour of the reverse boundary layer and by its strength in counteract adverse pressure gradients. The physical understanding of the compound role played by these and all the other mechanisms composing the flow, poses the basis for the formulation of theoretical frameworks able to unify all these interacting phenomena. Finally, the present work provides access to high-fidelity flow statistics of relevance for benchmark activities on bluff bodies with sharp edges.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press.
Figure 0

Figure 1. Flow configuration and computational domain.

Figure 1

Table 1. Numerical details. Here $n_x$, $n_y$ and $n_z$ are the degrees of freedom adopted in the region above the cylinder; $\Delta x, \Delta y, \Delta z$ are computed as the distance between $N+1$ uniformly spaced points within a spectral element, except to the near-wall resolution $\Delta y_w$ which is expressed as the wall distance of the second GLL point. The superscript $+$ indicates friction units and $\eta$ denotes the Kolmogorov scale.

Figure 2

Figure 2. Instantaneous three-dimensional views of the flow cases at $Re = 3000$ (a,b), $Re = 8000$ (c,d) and $Re = 14\ 000$ (e, f). The plots report isosurfaces coloured with streamwise velocity of $\lambda _{2} = -2$, $-4$ and $-5$, respectively, from the lowest to the highest $Re$. The perspective view is reported in the left column and the lateral view in the right column.

Figure 3

Figure 3. Instantaneous three-dimensional top views of the flow cases at $Re = 3000$ (a,b), $Re = 8000$ (c,d) and $Re = 14{\,}000$ (e, f). The plots report isosurfaces coloured with streamwise velocity of $\lambda _{2} = -2$, $-4$ and $-5$, respectively, from the lowest to the highest $Re$. To highlight the vortical structures in the reverse flow region, only isosurfaces with negative streamwise velocity, $u<-0.2$, are shown in the right column.

Figure 4

Figure 4. One-dimensional wavenumber spectra of the turbulent kinetic energy $E(k_z)$ evaluated in (a) the primary vortex shedding region at position $(3.90, 0.40)$ and in (b) the attached reverse boundary layer at position $(3, 0.07)$: dotted line, $Re = 3000$; dashed line, $Re = 8000$; full line, $Re = 14{\,}000$. The red line displays the $-5/3$ slope.

Figure 5

Figure 5. Behaviour of the drag coefficient $C_D$ (a), of the Stanton number $C_H$ (b), of the Nusselt number $Nu$ (c) and of the lift coefficient fluctuations $C_{L_{rms}}$ (d) as a function of $Re$ for the present simulations and other works from the literature: $\bigcirc$, present data; $\square$, DNS data from Cimarelli, Leonforte & Angeli (2018a); $\bigtriangleup$, DNS data from Chiarini & Quadrio (2021); $+$, wind tunnel (WT) data from Schewe (2013); $\ast$, WT data from Mannini et al. (2018); $\blacksquare$, WT data from Wu et al. (2020); and $\blacklozenge$, water channel (WC) data from Kumahor & Tachie (2022).

Figure 6

Table 2. Summary of the measured aerodynamic and heat coefficients.

Figure 7

Figure 6. Mean flow fields for the flow cases at $Re=3000$ (a,b), $8000$ (c,d) and 14 000 (e, f). The left panels report the isocontours of the stream function. The green lines show the primary vortex, the red lines the secondary vortex and the black lines the wake vortex. The right panels display the mean pressure field. For statistical symmetry reasons, only the top half of the flow is shown.

Figure 8

Table 3. Details of the mean flow configuration; $x_r$ is the reattachment length; $(x_c, y_c )$ are the coordinates of the vortex center; $x_s$ and $x_e$ indicate the coordinates of the start and end, respectively, of the secondary and wake vortices.

Figure 9

Figure 7. Behaviour of the skin friction coefficient (a), of the Nusselt number (b), of the pressure coefficient (c) and of its standard deviation (d): dotted line, $Re = 3000$; dashed line, $Re = 8000$; and full line, $Re = 14{\,}000$.

Figure 10

Figure 8. Distribution of the turbulent kinetic energy field $\langle k \rangle$ (a,c,e) and of the pressure variance field $\langle p'^2 \rangle$ (b,d, f) superimposed to the mean velocity paths for the flow cases at $Re=3000$ (a,b), $8000$ (c,d) and 14 000 (e, f). For statistical symmetry reasons, only the top half of the flow is shown.

Figure 11

Figure 9. Distribution of the mean scalar field $\varTheta$ (a,c,e) and of the scalar variance $\langle \theta ' \theta ' \rangle$ (b,d, f) at $Pr =0.71$ and $Re = 3000$ (a,b), $8000$ (c,d) and 14 000 (e, f). For statistical symmetry reasons, only the top half of the flow is shown.

Figure 12

Figure 10. Mean reattachment length as a function of the Reynolds number for rectangular cylinders of different aspect ratios ($c/D=5$ if not specified): $\bigcirc$, present data; $\square$, DNS data from Cimarelli et al. (2018a); $\bigtriangleup$, DNS data from Chiarini & Quadrio (2021); $\ast$, water channel (WC) data from Lane & Loehrke (1980) ($c/D = 8 \div 16$); $+$, WC data from Ota, Asano & Okawa (1981) ($c/D = 22$); $\bullet$, WC data from Sasaki & Kiya (1991) ($c/D = 24 \div 96$); $\blacksquare$, wind tunnel (WT) data from Cherry, Hillier & Latour (1983) ($c/D = 34$); $\blacktriangle$, WT data from Kiya & Sasaki (1983) ($c/D = 25$); $\times$, WT data from Moore, Letchford & Amitay (2019); and $\blacklozenge$, WC data from Kumahor & Tachie (2022).

Figure 13

Figure 11. Streamwise evolution of the position of the shear-layer centreline $y_{sl}$: dotted line, $Re = 3000$; dashed line, $Re = 8000$; and full line, $Re = 14{\,}000$.

Figure 14

Figure 12. (a) Streamwise evolution of the shear-layer thickness $\delta _{sl}(x)$. The dash-dotted lines mark the two linear growths of the shear layer. (b) Streamwise evolution of the velocity difference $\Delta U_{\tau }$. Key: dotted line, $Re = 3000$; dashed line, $Re = 8000$; and full line, $Re = 14{\,}000$.

Figure 15

Figure 13. Streamwise evolution of (a) the inner shear-layer thickness $\delta _{inn}$ and of (b) the outer shear-layer thickness $\delta _{out}$: dotted line, $Re = 3000$; dashed line, $Re = 8000$; and full line, $Re = 14{\,}000$.

Figure 16

Figure 14. Streamwise evolution of the position of the shear-layer centreline $y_{sl}$ (black lines) and of its inner $y_{sl, inn}$ (blue lines) and outer $y_{sl, out}$ (red lines) boundaries: dotted line, $Re = 3000$; dashed line, $Re = 8000$; and full line, $Re = 14{\,}000$.

Figure 17

Figure 15. Streamwise evolution of the interface position $y_\varOmega (x)$ (a) and of the volumetric flow rate $Q_x (x)$ (b): dotted line, $Re = 3000$; dashed line, $Re = 8000$; and full line, $Re = 14{\,}000$.

Figure 18

Figure 16. Streamwise evolution of the self-similarity constant (a) $C_u$ and (b) $C_\theta$: dotted line, $Re = 3000$; dashed line, $Re = 8000$; and full line, $Re = 14\ 000$.

Figure 19

Figure 17. Streamwise evolution of the interface $\tilde {y}_\varOmega (x)$ (a) and of the volumetric flow rate $Q_x(x)$ (b) along the wake development: dotted line, $Re = 3000$; dashed line, $Re = 8000$; and full line, $Re = 14{\,}000$.

Figure 20

Figure 18. (a) Strouhal number of vortex shedding $St_{vk}$ as a function of $Re$ for the present simulations and other works from the literature: $\bigcirc$, present data; $\square$, DNS data from Cimarelli et al. (2018a); $\bigtriangleup$, DNS data from Chiarini & Quadrio (2021); $+$, wind tunnel (WT) data from Schewe (2013); $\times$, WT data from Moore et al. (2019); $\ast$, WT data from Mannini et al. (2018); $\blacksquare$, WT data from Wu et al. (2020); and $\blacktriangle$, WT data from Pasqualetto et al. (2022). (b) Frequency spectra of streamwise velocity fluctuations $E_{uu} ({\textit {St}})$ evaluated along the shear layer at $x=0.5$, for the case at $Re = 3000$, and at $x=0.1$ for the cases at $8000$ and 14 000. The spectra are offset along the $y$-axis for the sake of clarity. Circles identify the peaks related to the von Kármán instability (A), the Kelvin–Helmholtz instability (B) and the low-frequency unsteadiness (C).

Figure 21

Figure 19. Frequency spectra of pressure fluctuations $E_\textit {{pp}} ({\textit {St}})$ normalised with pressure variance evaluated in the primary vortex shedding region around the point $(3.90, 0.40)$: dotted, $Re = 3000$; dashed, $Re = 8000$; and full line, $Re = 14\ 000$. The inset panel shows the magnitude of the peaks at different Reynolds numbers.

Figure 22

Figure 20. (a) Streamwise distribution of the Strouhal number of the Kelvin–Helmholtz instability ${\textit {St}}_{kh}$ evaluated along the shear layer: $\bigtriangleup$, $Re = 3000$; $\square$, $Re = 8000$; and $\bigcirc$, $Re = 14{\,}000$. The inset panel shows the same quantity scaled with the initial shear-layer thickness $St_{kh} \delta _{bl} /D$. (b) Momentum thickness of the front-face boundary layer $\delta _{bl}$ evaluated at the leading edge as a function of the Reynolds number, where the dashed line denotes the $Re^{-1/2}$ scaling.

Figure 23

Figure 21. Premultiplied time cospectrum of the Reynolds shear stresses $St E_{uv}$ as a function of the time scale $\lambda _{t} = 1/St$ and evaluated in the leading-edge shear layer at $x=0.1$ (a) and $x=0.3$ (b) for the case $Re = 14{\,}000$.

Figure 24

Figure 22. Distribution of the spatial resolution $h/\eta$ for the flow cases at $Re=3000$ (a), $Re=8000$ (b) and $Re=14{\,}000$ (c).

Figure 25

Figure 23. Turbulent kinetic energy and mean velocity paths at $Re = 3000$ computed by performing the ensemble average over $58$ (a) and $40$ (b) time samples separated by equal time intervals $\Delta T = 5$. The behaviour of the same quantities obtained by not availing of the flow symmetry about the $y=-0.5$ axis is shown in (c).

Figure 26

Figure 24. Vertical profiles of the flow solution at different streamwise locations for the flow case at ${Re=14\,000}$ (solid lines) compared with experimental results from Kumahor & Tachie (2022) at $Re=16\ 200$ (symbols): mean streamwise velocity (a), streamwise turbulent intensity (b), vertical turbulent intensity (c) and turbulent shear stress (d).