1. Introduction
Literature reviews indicate that asymmetry can readily arise in nominally symmetric flows (Williams & Smits Reference Williams and Smits2025), as exemplified by lateral forces on aircraft forebodies and unsteady wakes behind bluff bodies. Such asymmetry may degrade flight safety through unpredictable side forces, and may reduce the aerodynamic efficiency of ground vehicles. At present, significant challenges remain in understanding the origin of these asymmetric flows and in developing effective control measures. As a canonical axisymmetric body, a sphere exhibits wake asymmetry that is intensified with increasing Reynolds numbers (
$Re$
), consistent with symmetry-breaking phenomena. Recent studies have confirmed that the symmetry of the sphere wake can be partially modulated by a wall-boundary layer (van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018; Kumar et al. Reference Kumar, Das and Tiwari2024), implying that the influence of wall-proximity conditions on the symmetry of vortex shedding needs to be examined. The interaction between the sphere wake and the wall-boundary layer has been extensively studied (Okamoto Reference Okamoto1980, Reference Okamoto1988; Saiki & Biringen Reference Saiki and Biringen1997; Zeng et al. Reference Zeng, Balachandar, Fischer and Najjar2007, Reference Zeng, Balachandar and Najjar2010; Tsutsui Reference Tsutsui2008; Ozgoren et al. Reference Ozgoren, Okbaz, Dogan, Sahin and Akilli2013; Hajimirzaie et al. Reference Hajimirzaie, Tsakiris, Buchholz and Papanicolaou2014; Zhao et al. Reference Zhao, Liu, Li, Wei, Luo and Fan2016; van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018; Shang et al. Reference Shang, Zhao, Li, Luo and Fan2021; Kumar et al. Reference Kumar, Das and Tiwari2024). However, the quantitative characterisation remains difficult because the flow is intrinsically three-dimensional (3-D) and strongly conditioned by the gap ratio (
$G/D$
).
Wake dynamics of an isolated sphere has been investigated over a broad
$Re$
range (
$10 \lesssim Re \lesssim 3.7 \times 10^{5}$
) (Maxworthy Reference Maxworthy1969; Achenbach Reference Achenbach1974; Kim & Durbin Reference Kim and Durbin1988; Sakamoto & Haniu Reference Sakamoto and Haniu1990; Mittal Reference Mittal1999; Lee Reference Lee2000; Tomboulides & Orszag Reference Tomboulides and Orszag2000; Gushchin et al. Reference Gushchin, Kostomarov, Matyushin and Pavlyukova2002; Ploumhans et al. Reference Ploumhans, Winckelmans, Salmon, Leonard and Warren2002; Doh et al. Reference Doh, Hwang and Saga2004; Terra et al. Reference Terra, Sciacchitano and Scarano2017; Tiwari et al. Reference Tiwari, Pal, Bale, Minocha, Patwardhan, Nandakumar and Joshi2020). Key wake transitions dependent on
$Re$
, including the onset of hairpin vortex shedding, symmetry-breaking and the transition to turbulence, have been identified by these works. With increasing
$Re$
, a laminar vortex ring regime (
$Re\approx 20$
) is replaced by an unsteady wake for
$Re\gt 130$
(Taneda Reference Taneda1956; Sakamoto & Haniu Reference Sakamoto and Haniu1995), and regular hairpin shedding is observed once planar symmetry is established in
$270\lesssim Re\lesssim 420$
(Johnson & Patel Reference Johnson and Patel1999; Ghidersa & Dusek Reference Ghidersa and Dusek2000). Near
$Re\approx 270$
, axisymmetry is lost, and a planar-symmetric state is obtained (often accompanied by counter-rotating vortex pairs). At higher
$Re$
, the initially preferred azimuthal orientation of hairpin vortices is gradually lost, and shedding becomes stochastic for
$Re\gtrsim 420$
(Tomboulides & Orszag Reference Tomboulides and Orszag2000; Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019; Frantz et al. Reference Frantz, Mimeau, Salihoglu, Loiseau and Robinet2025). These findings, however, are largely derived from unbounded configurations, and differ from the more complex case of a sphere near a wall. In wall-bounded conditions, the wall-boundary layer substantially alters wake development (Zeng et al. Reference Zeng, Balachandar, Fischer and Najjar2007, Reference Zeng, Balachandar and Najjar2010; Tsutsui Reference Tsutsui2008; Ozgoren et al. Reference Ozgoren, Okbaz, Dogan, Sahin and Akilli2013; Hajimirzaie et al. Reference Hajimirzaie, Tsakiris, Buchholz and Papanicolaou2014; Zhao et al. Reference Zhao, Liu, Li, Wei, Luo and Fan2016; van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018; Yin & Ong Reference Yin and Ong2020; Shang et al. Reference Shang, Zhao, Li, Luo and Fan2021; Kumar et al. Reference Kumar, Das and Tiwari2024). As a result, present interpretations of symmetry-breaking phenomena, such as vortex dislocations associated with symmetry-breaking, still rely mainly on evidence from unconfined flow.
The wake instability mechanisms of isolated spheres, including regular, Hopf and Neimark–Sacker bifurcations, as well as the emergence of wake secondary vortex structures, have been studied (Ghidersa & Dusek Reference Ghidersa and Dusek2000; Magnaudet & Mougin Reference Magnaudet and Mougin2007; Rodriguez et al. Reference Rodriguez, Lehmkuhl, Borrell and Oliva2013; Chiarini et al. Reference Chiarini, Gauthier and Boujo2025; Frantz et al. Reference Frantz, Mimeau, Salihoglu, Loiseau and Robinet2025). A regular bifurcation breaks spatial symmetry at
$Re\approx 212$
, and a Hopf bifurcation introduces temporal periodicity at
$Re\approx 272$
(Ghidersa & Dusek Reference Ghidersa and Dusek2000; Theofilis Reference Theofilis2011). For
$Re \gtrsim 420$
, irregular hairpin shedding has been associated with a low-frequency mode linked to wake secondary vortices (Ghidersa & Dusek Reference Ghidersa and Dusek2000; Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019; Frantz et al. Reference Frantz, Mimeau, Salihoglu, Loiseau and Robinet2025). Spatially, this is also associated in the literature with the loss of planar symmetry. Instability regions and subharmonic shedding modes have also been identified using vortex identification methods (Johnson & Patel Reference Johnson and Patel1999; Brucker Reference Brucker2001; Ploumhans et al. Reference Ploumhans, Winckelmans, Salmon, Leonard and Warren2002; Eshbal et al. Reference Eshbal, Rinsky, David, Greenblatt and van Hout2019; Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019). However, the transferability of the proposed mechanisms to wall-bounded wakes remains unclear.
In contrast to the unbounded configurations, the wake of a sphere near a wall is strongly conditioned by boundary effects (Patnaik et al. Reference Patnaik, Pande and Vittal1992; Tsutsui Reference Tsutsui2008; Zeng et al. Reference Zeng, Balachandar and Najjar2010; Ozgoren et al. Reference Ozgoren, Okbaz, Dogan, Sahin and Akilli2013; Zhao et al. Reference Zhao, Liu, Li, Wei, Luo and Fan2016; van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018; Yin & Ong Reference Yin and Ong2020; Chandel & Das Reference Chandel and Das2021a
; Shang et al. Reference Shang, Zhao, Li, Luo and Fan2021; Li et al. Reference Li, Luo, Zhao, Shang and Fan2022; De & Sarkar Reference De and Sarkar2023; Kumar et al. Reference Kumar, Das and Tiwari2024; Yin & Ong Reference Yin and Ong2024). Similar to the interactions between a cylinder wake and a wall-boundary layer (Zhou et al. Reference Zhou, Qiu, Li and Liu2021, Reference Zhou, Qiu, Li and Liu2022, Reference Zhou, Qiu, Li and Liu2025; Li et al. Reference Li, Wang, Qiu, Wu, Zhou, Fu and Liu2022a
; Qiu et al. Reference Qiu, Sun, Tao, Li, Li and Liu2022; Zhang et al. Reference Zhang, Xia, Qiu, Dong and Liu2023, Reference Zhang, Ma, Xia, Qiu and Liu2024), the response is governed by
$G/D$
(van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018; Shang et al. Reference Shang, Zhao, Li, Luo and Fan2021; Li et al. Reference Li, Luo, Zhao, Shang and Fan2022), the wall-boundary layer thickness
$\delta /D$
(Patnaik et al. Reference Patnaik, Pande and Vittal1992; Tsutsui Reference Tsutsui2008), and
$Re$
(Zeng et al. Reference Zeng, Balachandar and Najjar2010; Ozgoren et al. Reference Ozgoren, Okbaz, Dogan, Sahin and Akilli2013; Cao & Tamura Reference Cao and Tamura2020; Li et al. Reference Li, Luo, Zhao, Shang and Fan2022). It has been shown that
$G/D$
controls both shedding patterns and symmetry. At small gaps (
$G/D \lt 1.0$
), lower-wake shedding is suppressed by the wall, and mid-plane (wall-normal) asymmetry is strengthened, whereas for
$G/D \geqslant 1.0$
, the wake tends towards the unconfined limit (Zeng et al. Reference Zeng, Balachandar, Fischer and Najjar2007, Reference Zeng, Balachandar and Najjar2010; Tsutsui Reference Tsutsui2008; Ozgoren et al. Reference Ozgoren, Okbaz, Dogan, Sahin and Akilli2013; Hajimirzaie et al. Reference Hajimirzaie, Tsakiris, Buchholz and Papanicolaou2014; van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018; Shang et al. Reference Shang, Zhao, Li, Luo and Fan2021; Kumar et al. Reference Kumar, Das and Tiwari2024). Existing work has largely emphasised wall-induced wall-normal asymmetry at high Reynolds numbers (
$Re \geqslant 800$
). By contrast, spanwise asymmetry has received limited attention, especially within the critical range
$420 \lesssim Re \lt 800$
. Although our previous studies on near-wall cylinder wakes provide useful references for wake/wall-boundary-layer interaction, the present wall-proximity sphere wake involves a distinct symmetry problem. In those cylinder wakes, the primary dynamics is mainly associated with a nominally spanwise-uniform vortex interacting with the wall boundary layer. By contrast, the sphere wake is intrinsically 3-D, and exhibits spanwise symmetry-breaking associated with hairpin-vortex shedding.
Wall proximity has been shown to modify wake symmetry, shedding frequency and instability onset for a sphere (Zeng et al. Reference Zeng, Balachandar and Fischer2005; Tsutsui Reference Tsutsui2008; Ozgoren et al. Reference Ozgoren, Okbaz, Dogan, Sahin and Akilli2013; Yin & Ong Reference Yin and Ong2020; Kumar et al. Reference Kumar, Das and Tiwari2024). In the low
$Re$
range (
$0.5 \lt Re \leqslant 300$
), instability onset has been reported to be delayed, whereas vortex shedding can be initiated earlier. This behaviour has been attributed to wall-induced asymmetry (Zeng et al. Reference Zeng, Balachandar and Fischer2005). For small gaps (
$G/D \lt 1.0$
), the wake is commonly observed to deflect away from the wall, and the symmetry plane is reoriented (Zeng et al. Reference Zeng, Balachandar and Najjar2010; van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018; Kumar et al. Reference Kumar, Das and Tiwari2024). Explanations based on self-induced vortex motion and direct boundary layer interaction have been proposed, but quantitative support remains limited. Additionally, most evidence has been drawn from qualitative visualisations rather than quantitative, 3-D vortex-dynamical analyses. Consequently, the relationship between wall proximity and the transition of near-wake symmetry remains unresolved.
Research on
$G/D \lt 1.0$
has utilised techniques such as particle image velocimetry, large-eddy simulations and direct numerical simulations (DNS). These efforts have largely been focused on turbulent boundary layers (Okamoto Reference Okamoto1980; Saiki & Biringen Reference Saiki and Biringen1997; Zeng et al. Reference Zeng, Balachandar and Najjar2010; Ozgoren et al. Reference Ozgoren, Okbaz, Dogan, Sahin and Akilli2013; Li et al. Reference Li, Luo, Zhao, Shang and Fan2022), and have documented wake deflection, shedding modification, and gap-dependent asymmetry in wall-proximity sphere flows (van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018; Yin & Ong Reference Yin and Ong2020; Kumar et al. Reference Kumar, Das and Tiwari2024). However, the 3-D wake evolution and the formation process of wall-induced secondary vortices have not yet been fully quantified in relation to the symmetry transition. Additionally, investigations conducted in laminar boundary layers remain notably scarce, particularly in the critical Reynolds number range where both vortex evolution and wall-secondary vortices develop. A key unresolved issue concerns the kinematic and dynamic process through which primary wake asymmetry is affected by wall-induced secondary vortices. Therefore, the 3-D vortex-dynamical pathway underlying the symmetry transition in wall-proximity sphere wakes remains to be further clarified.
In summary, a significant lack of 3-D time-resolved analysis is noted for the near-wake vortex dynamics of a sphere in a laminar boundary layer at small
$G/D$
. The interaction between the wall-induced vortex and the primary hairpin vortex, specifically its role in symmetry breaking and recovery, remains poorly understood from both kinematic and dynamic perspectives. A detailed investigation based on DNS is therefore essential to reveal the underlying mechanisms governing vortex formation and transport in this complex flow. Such a study is expected to advance the understanding of symmetry transitions in wall-bounded flows, and to provide insights relevant for flow control strategies.
In this work, the influence of
$G/D$
(
$0.1 \leqslant G/D \leqslant 1.5$
) on hairpin vortex structures in the wake of a sphere is investigated at
$Re = 420$
,
$500$
and
$600$
. The rest of the paper is structured as follows. Section 2 introduces the numerical methodology and validation. An overview of the flow visualisation and the classification of near-wake patterns is presented in §§ 3.1 and 3.2. Section 4 investigates the physical mechanisms underlying the structural transition. Specifically, § 4.1 utilises proper orthogonal decomposition (POD) to reconstruct the dominant coherent structures, § 4.2 quantifies the transition mechanism using vorticity transport budgets, with a focus on vorticity tilting and reorientation, and § 4.3 examines vorticity transport contributions to spanwise shear-layer deflection. A summary of the main findings is provided in § 5.
The 3-D computational domain and sphere configuration at gap ratio
$G/D$
. Inset: near-sphere mesh (Mesh-2) for
$(Re, G/D) = (500, 0.3)$
; mesh distribution in the transverse orthogonal
$x{-}y$
plane, with an expanded view of the near-wall region.

2. Methodology
2.1. Numerical set-up
Numerical simulations are performed to examine the flow around a stationary sphere placed near a flat plate. The governing parameters are taken as the gap ratio (
$G/D$
) and Reynolds number (
$Re$
). As shown in figure 1, the sphere diameter
$D$
is used as the characteristic length. The
$G/D$
is varied over
$0.1, 0.2, 0.25, 0.28, 0.3, 0.35, 0.38, 0.4, 0.5, 0.65, 0.8, 1.0, 1.5$
. The computational domain is constructed following previous studies (Zhao et al. Reference Zhao, Liu, Li, Wei, Luo and Fan2016; Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019; Kumar et al. Reference Kumar, Das and Tiwari2024), with the inlet located
$L_{1}$
upstream of the sphere centre, and total streamwise length
$L_{x} = L_{1} + L_{2} = 40D$
to ensure fully developed outflow (Saiki & Biringen Reference Saiki and Biringen1997; Zhao et al. Reference Zhao, Liu, Li, Wei, Luo and Fan2016; van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018). The wall-normal extent is set to
$L_{y} = 10D$
to reduce boundary interference, and the spanwise extent
$L_{z}$
is chosen to avoid confinement (see figures 2(a,b) in § 2.2). As observed by Hajimirzaie et al. (Reference Hajimirzaie, Tsakiris, Buchholz and Papanicolaou2014), the sphere effects extended less than
$1.0D$
from the sphere centreline in the spanwise direction. Simulations are conducted at
$Re = \rho U_{\infty }D/\mu = 420, 500, 600$
, where
$\rho$
,
$U_{\infty }$
and
$\mu$
are the fluid density, free-stream velocity, and dynamic viscosity, respectively. At the streamwise location of the sphere,
$L_1 = 15D$
, the laminar boundary layer thickness is estimated as
$\delta = 5L_1/\sqrt {Re_{L_1}}$
, giving
$\delta /D = 0.945, 0.866,0.791$
for the three
$Re$
values (see Appendix A). The lower part of the sphere lies approximately in the boundary layer for
$G/D \lesssim 0.8$
, with the deepest immersion occurring at
$Re=420$
.
The 3-D unsteady, incompressible viscous flow is governed by the continuity and Navier–Stokes equations. These equations can be expressed in dimensionless form in a Cartesian coordinate system as
where the dimensionless variables are defined as
${\boldsymbol{u}^{*}} = {\boldsymbol{u}}/U_{\infty }$
,
$\boldsymbol{p}^{*} = \boldsymbol{p}/({\rho }U_{\infty }^{2})$
,
$t^{*} = tU_{\infty }/D$
,
$x^{*} = x/D$
,
$y^{*} = y/D$
,
$z^{*} = z/D$
. For mass and momentum conservation, uniform inlet velocity
$U_{\infty }$
and zero pressure gradient are imposed at the inflow (Zhang et al. Reference Zhang, Xia, Qiu, Dong and Liu2023; Kumar et al. Reference Kumar, Das and Tiwari2024). A convective outlet condition with zero pressure is applied to minimise numerical reflections, and Neumann boundary conditions are adopted at the upper wall boundary (Kumar et al. Reference Kumar, Das and Tiwari2024). Periodic conditions are enforced in the spanwise direction (Saiki & Biringen Reference Saiki and Biringen1997; Shang et al. Reference Shang, Zhao, Li, Luo and Fan2021), and no-slip conditions are imposed on both the sphere surface and the flat plate.
Equations (2.1) and (2.2) are solved using OpenFOAM with a finite volume method. A second-order implicit backward scheme is employed for temporal discretisation (Qiu et al. Reference Rodriguez, Lehmkuhl, Borrell and Oliva2022, Reference Qiu, Sun, Tao, Li, Li and Liu2024; Zhang et al. Reference Zhang, Xia, Qiu, Dong and Liu2023). Spatial gradients are evaluated using the Gauss linear scheme. The convective divergence term is discretised using the Gauss linear central-difference scheme, while the viscous Laplacian term is treated using the Gauss linear corrected scheme. Face values are obtained by second-order linear interpolation. Non-orthogonal correction is applied twice to improve accuracy on non-orthogonal meshes. Pressure–velocity coupling is achieved by the PISO algorithm in pisoFoam, and a convergence tolerance of
$10^{-6}$
is enforced for all solution variables (Kumar et al. Reference Kumar, Das and Tiwari2024).
2.2. Data validation
To reduce finite-domain effects, domain independence is examined at
$(Re, G/D) = (500, 0.3)$
. Figure 2(a) shows nearly identical velocity profiles for
$L_y/D = 10, 20$
. This indicates that
$L_y/D = 10$
is sufficient to make the influence of the upper boundary negligible in the analysed near-wake region for all simulations. While the streamwise (
$L_{x} = 40D$
) and wall-normal (
$L_{y} = 10D$
) dimensions remain fixed, two spanwise extents are evaluated:
$L_{z} = {{5}{\pi }D/{3}}$
(Saiki & Biringen Reference Saiki and Biringen1997; Zhao et al. Reference Zhao, Liu, Li, Wei, Luo and Fan2016; van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018), and a larger
$L_z = 10\pi D/3$
(Li et al. Reference Li, Luo, Zhao, Shang and Fan2022). The temporal histories of the lateral-force coefficients (
$C_{Y}$
,
$C_{Z}$
) and the total lift coefficient
$C_{L} = \sqrt {C_{Y}^{2} + C_{Z}^{2}}$
are compared in figure 2(b). The relative errors for all three coefficients remained below
$2\,\%$
between the two domains, confirming that the smaller spanwise extent provides sufficient resolution. Consequently,
$L_{z} = 5\pi D/3$
is selected for all subsequent simulations.
The aerodynamic coefficients (mean drag coefficient
$\overline {C_{D}}$
and mean total lift coefficient
$\overline {C_{L}}={\overline {\sqrt {C_{Y}^{2}+C_{Z}^{2}}}}$
) and vortex shedding frequency
$St_{1}$
are compared at
$Re = 500$
for different mesh conditions. Here,
$N_{total}$
and
$N_{cell}$
denote the total grid count and the number of grid cells around the sphere in the principal plane, respectively.

Table 1. Long description
A table with 12 rows and 7 columns comparing aerodynamic coefficients and vortex shedding frequency for different mesh conditions. The columns are labeled Mesh, G/D, N_cell, N_total, St1, C_D, and C_L. The table presents data for three different mesh conditions (Mesh 1, Mesh 2, Mesh 3) and four different G/D ratios (0.1, 0.3, 0.5, 0.8). Each row provides specific values for the mean drag coefficient (C_D), mean total lift coefficient (C_L), and vortex shedding frequency (St1) for the given mesh and G/D ratio. Notable trends include consistent values for C_D and C_L across different meshes for the same G/D ratio, with slight variations in St1.
(a) Domain independence test for
$L_{y}/D$
at
$Re=500$
,
$L_{y}/D=10, 20$
. (b,c) Force coefficients (drag
$C_{D}$
, wall-normal force
$C_{Y}$
and lateral force
$C_{Z}$
) are compared under different parameters (spanwise domain length
$L_{z}/D$
and time-step
$\Delta {t}$
) at
$(Re, G/D) = (500, 0.3)$
: (b) solid and dashed lines correspond to
$L_{z} = {{5}{\pi }D/{3}}$
and
$L_{z} = {{10}{\pi }D/{3}}$
, respectively; (c) the
$\Delta {t}$
independence study using
$L_{z} = {{5}{\pi }D/{3}}$
.

Figure 2. Long description
Panel A: A line graph shows the domain independence test for velocity ratio U/U∞ at Reynolds number Re = 500 and gap ratio G/D = 0.3. The x-axis represents the normalized distance x/D, and the y-axis represents the normalized velocity U/U∞. Two lines are plotted for different domain lengths Lx/D = 20 and Lx/D = 10, showing how the velocity ratio changes with distance. Panel B: A line graph compares force coefficients under different spanwise domain lengths Lz/D at Re = 500 and G/D = 0.3. The x-axis represents the normalized time tU∞/D, and the y-axis represents the values of the force coefficients. Solid and dashed lines correspond to Lz/D = 5π/3 and Lz/D = 10π/3, respectively, illustrating the variation in force coefficients over time. Panel C: A line graph shows the independence study of force coefficients using different time-steps ΔtU∞/D at Re = 500 and G/D = 0.3. The x-axis represents the normalized time tU∞/D, and the y-axis represents the values of the force coefficients. Three lines are plotted for ΔtU∞/D = 0.003125, ΔtU∞/D = 0.00125, and ΔtU∞/D = 0.001, demonstrating the effect of time-step size on the force coefficients.
With the domain fixed, grid independence is assessed at
$G/D = 0.1, 0.3, 0.5, 0.8$
for
$Re = 500$
, using three distinct mesh configurations (Mesh-1 to Mesh-3), distinguished by the circumferential cell count (
$N_{cell}$
) in table 1. The grid satisfies
$\Delta / \eta \leqslant 1.2$
, confirming that the grid resolution is adequate for the DNS results in the present study (see Appendix A). Given that dual-frequency dynamics typically occurs for
$300 \leqslant Re \lt 800$
(Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019), the simulations target both the primary shedding frequency (
$St_{1}$
) and the low-frequency modulation (
$St_{2}$
), the latter of which typically appears at
$0.2St_1$
–
$0.25St_{1}$
(Tomboulides & Orszag Reference Tomboulides and Orszag2000; Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019). Resolving this low-frequency component necessitates extended temporal sampling. While early studies (Constantinescu & Squires Reference Constantinescu and Squires2004) struggled to identify
$St_{2}$
with limited sampling, recent works (Rodriguez et al. Reference Rodriguez, Lehmkuhl, Borrell and Oliva2013; Kumar et al. Reference Kumar, Das and Tiwari2024) established that a minimum of 30 primary shedding cycles is required for unequivocal spectral identification. Accordingly, the present simulations are integrated for at least
$30$
cycles. The maximum relative differences in
$St_{1}$
,
$\overline {C_{D}}$
and
$\overline {C_{L}}$
among the three meshes are less than
$4.5\,\%$
. Thus Mesh-2 is adopted for production runs. Additionally, a time-step independence study is then carried out for
$G/D = 0.3$
using Mesh-2. Independence is achieved at
${\Delta {t}}^{*} = \Delta {t}\,U_{\infty }/D = 0.003125$
, as evidenced by the identical values of
$C_{D}$
and
$C_{Y}$
shown in figure 2(c).
Additional validation is provided by comparing the primary vortex shedding frequency
$St_{1}$
for the same configuration (
$Re = 500, 600$
and
$G/D = 0.3$
), as summarised in table 2. The computed
$St_{1}$
aligns closely with previously reported numerical and experimental results (Saiki & Biringen Reference Saiki and Biringen1997; van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018; Yin & Ong Reference Yin and Ong2020). Further insight is gained by examining the normalised streamwise velocity minima, plotted in figure 3 as a function of the scaled streamwise coordinate
$2x/L_{w,a}$
. Here,
$U_{0}$
is the local mean velocity of the unperturbed boundary layer, and
$L_{w,a}$
denotes the recirculation wake length. The characteristic velocity minimum
$U/U_{0} \approx -0.2$
shows remarkable consistency with the experimental measurements of van Hout et al. (Reference van Hout, Eisma, Elsinga and Westerweel2018) at a comparable gap ratio, demonstrating excellent quantitative agreement in capturing wake development trends.
Vortex-shedding frequency
$St_{1}$
for the present work at
$G/D=0.3$
for
$Re = 500, 600$
, compared with published experimental and numerical data (Saiki & Biringen Reference Saiki and Biringen1997; van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018; Yin & Ong Reference Yin and Ong2020).

Table 2. Long description
A table comparing vortex-shedding frequencies from different studies. The table has four rows and four columns. Column headers are Saiki & Biringen (1997), Yin & Ong (2020), van Hout et al. (2018), and Present study. Row labels are Re, G/D, and St1. Row 1: Re, 500; 750, 500, 692 ± 15, 500; 600. Row 2: G/D, 0.3, 0.25, 0.36, 0.3. Row 3: St1, 0.20; 0.22, 0.19, 0.20 ± 0.01, 0.203; 0.22.
Time-averaged streamwise velocity in the mid-plane (
$z/D = 0$
) at
$G/D=0.3$
for
$Re = 500, 600$
. Wake profiles of the normalised mean velocity
$U/U_{0}$
, compared with Zeng et al. (Reference Zeng, Balachandar and Najjar2010) and van Hout et al. (Reference van Hout, Eisma, Elsinga and Westerweel2018), sampled at the streamwise location of minimum
$U$
. The recirculation length
$L_{w,a}$
is indicated.

3. Asymmetric-to-symmetric transition characteristics
3.1. Flow regime transition visualisation
In the range
$420 \lesssim Re \lt 650$
, the isolated sphere wake is inherently asymmetric, characterised by ‘irregular’ shedding and spanwise-inclined vortices (Tiwari et al. Reference Tomboulides and Orszag2019, Reference Tsutsui2020; Frantz et al. Reference Frantz, Mimeau, Salihoglu, Loiseau and Robinet2025). However, this spanwise asymmetric wake is suppressed by the wall proximity. As
$G/D$
decreases, the near wake recovers mirror symmetry about the mid-plane (
$z/D = 0$
), eliminating the azimuthal oscillations typical of the unbounded flow.
Figure 4 visualises the structural transitions using the
$Q$
-criterion coloured by
${u^{*}} = \overline {u}/U_{\infty }$
(Li et al. Reference Li, Luo, Zhao, Shang and Fan2022; Zhang et al. Reference Zhang, Xia, Qiu, Dong and Liu2023, Reference Zhang, Ma, Xia, Qiu and Liu2024; Kumar et al. Reference Kumar, Das and Tiwari2024). As
$G/D$
decreases, the near-wake symmetry states undergo a transition. At
$G/D = 0.8$
(in figure 4
a), the flow retains the spanwise asymmetric hairpin shedding characteristic of unbounded wakes (Mittal et al. Reference Mittal, Wilson and Najjar2001; Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019; Yin & Ong Reference Yin and Ong2020). Reducing the gap to
$G/D = 0.5$
(in figure 4
b) induces a hybrid state where wall proximity begins to suppress near-wall shedding, though upper-wake asymmetry persists. By
$G/D = 0.3$
(in figure 4
c), this suppression becomes dominant, leading to the re-emergence of symmetrical formations. Finally, at
$G/D = 0.1$
(in figure 4
d), all spanwise asymmetry is eliminated, and the wake resolves into a steady, mirror-symmetric double-threaded structure. It should be emphasised that the present wake regime is specific to a laminar boundary layer.
Instantaneous 3-D near-wake vortical structures at
$Re=500$
for different
$G/D$
. Structures are visualised using iso-surfaces of the normalised second invariant
$Q^{*} = QD^{2}/{U_{\infty }^{2}} = 2.5{\times }10^{-3}$
, coloured by the normalised streamwise velocity
${u^{*}} = \overline {u}/U_{\infty }$
. (a,b) Asymmetric hairpin vorteices for
$G/D =0.8, 0.5$
. (c) Symmetric hairpin vortex for
$G/D = 0.3$
. (d) Symmetric double-threaded structure for
$G/D = 0.1$
.

Figure 4. Long description
Panel A: A 3D visualization shows asymmetric hairpin vortices and vortex rings. The axes are labeled x/D, y/D, and z/D. The structures are colored by the normalized streamwise velocity. Panel B: Another 3D visualization depicts asymmetric hairpin vortices and vortex rings, similar to Panel A but with different configurations. Panel C: A 3D visualization illustrates symmetric hairpin vortices and vortex rings. Panel D: A 3D visualization displays symmetric double-threaded vortices and base vortices. The top view of each panel provides a different perspective of the vortical structures.
Complementing the instantaneous observations, figure 5 presents the time-averaged results of this transition using the dimensionless streamwise velocity
$\overline {{u}^{*}}$
, mean pressure
$\overline {{p}^{*}} = {\overline {{p}}/0.5{\rho }U_{\infty }^{2}}$
and streamwise vorticity
$\overline {{\omega }_{x}^{*}} = {\overline {\omega }_{x}}D/U_{\infty }$
on cross-stream (
$y{-}z$
) planes at
$x/D = 1.0, 2.0, 5.0$
for
$Re = 500$
. Notably, despite the strong instantaneous asymmetry observed earlier, the mean flow preserves an approximately planar-symmetric vortex organisation across all gap ratios (van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018). This confirms that the dominant symmetry breaking is inherently unsteady and phase-dependent, rather than a result of persistent mean flow deflection. Additionally, the mean structure is dominated by a counter-rotating pair of primary wake tip vortices (
$\textrm{WTV}_{P}$
), comprising upper
$\textrm{UTV}_{P}$
and lower
$\textrm{LTV}_{P}$
parts, alongside wall-induced vortices (
$\textrm{WSV}$
) (in figure 5
c). At
$G/D = 0.8, 0.5$
(in figures 5
a–c), the wake tip vortices remain spatially separated from the wall-induced structures, maintaining distinct identities. As
$G/D$
decreases, the lower wake component (
$\textrm{LTV}_{P}$
) extends towards the wall. By
$G/D = 0.3$
(in figure 5
c), the
$\textrm{LTV}_{P}$
and
$\textrm{WSV}$
merge into a new structure. This merger spatially coincides with the marked recovery of wake symmetry. At
$G/D = 0.1$
(in figure 5
c), a fully symmetric state is obtained, characterised by stable paired
$\textrm{WTV}_{P}$
, arch vortices (
$\textrm{AV}$
), and base vortices (
$\textrm{BV}$
), consistent with wall-mounted bluff-body wakes (Hajimirzaie et al. Reference Hajimirzaie, Tsakiris, Buchholz and Papanicolaou2012, Reference Gushchin, Kostomarov, Matyushin and Pavlyukova2014; Tu et al. Reference Tu, Wang, Gao, She, Wang, Wang and Wei2023).
Wake cross-sections at
$x/D = 3.5$
for different
$G/D$
, shown using the mean streamwise velocity
$\overline {u^*} = \overline {u}/U_{\infty }$
and mean pressure
$\overline {p^*} = \overline {p} / 0.5 {\rho } U_{\infty }^2$
in (a,b). The white dashed circle represents the projected outline of the sphere on the plotted plane. (c) Time-averaged streamwise vorticity
$\overline {{\omega }_{x}^{*}} = {\overline {\omega }_{x}}D/U_{\infty }$
on planes
$x/D = 2.0, 5.0$
. Pink dash-dotted lines indicate
$z/D = 0$
.

3.2. Quantitative classification of near-wake regimes
To complement the qualitative findings in § 3.1, we establish a quantitative classification of the symmetry transitions for four statistical indicators. In figure 6, the classification relies on the spanwise velocity skewness
$Skew_{w}={\langle w^3 \rangle }/{{\langle w^2 \rangle }^{{3}/{2}}}$
on the recirculation region for the
$y/D = G/D + 0.5$
plane (in figure 6
a), spanwise lateral-force coefficient skewness
$Skew_{C_{Z}}={\langle C_{Z}^3 \rangle }/{{\langle C_{Z}^2 \rangle }^{{3}/{2}}}$
(in figure 6
b) (Mittal et al. Reference Mittal, Wilson and Najjar2001; Tiwari et al. Reference Tiwari, Pal, Bale, Minocha, Patwardhan, Nandakumar and Joshi2020), the mean spanwise force
$\overline {C_{Z}}$
(in figure 6
c), and the fluctuation intensity of the lateral force
$C_{Z,rms}'$
(in figure 6
d). Here, these metrics effectively characterise the degree of spanwise asymmetry and the resulting lateral-force deflection. The results confirm that increasing wall proximity progressively suppresses asymmetric shedding, and identify a specific critical
$G/D$
. Based on these
$G/D$
values, we map the transition into four distinct near-wake regimes.
Near-wake regime classification for a wall-proximity sphere over
$(Re, G/D) = (420{-}600, 0.1{-}1.5)$
. (a) Spanwise-velocity skewness
$Skew_{w}$
evaluated at the recirculation region on planes
$y = G+D/2$
orthogonal to the mid-plane
$z/D = 0$
. (b) Spanwise lateral-force skewness
$Skew_{C_{Z}}$
versus
$G/D$
. (c,d) Time-averaged spanwise lateral force
$\overline {C_{Z}}$
and its fluctuation intensity
$C_{Z,rms}^{\prime }$
as functions of
$G/D$
.

Figure 6. Long description
Panel A: A line graph shows the spanwise-velocity skewness evaluated at the recirculation region on planes orthogonal to the mid-plane. The x-axis represents the gap ratio (G/D) ranging from 0 to 1.6, and the y-axis represents the skewness of the spanwise velocity (Skew_w) ranging from -1.0 to 1.0. Data points are plotted for three different Reynolds numbers (Re = 420, Re = 500, Re = 600), with distinct markers for each. The graph is divided into symmetric and asymmetric regimes. Panel B: A line graph shows the spanwise lateral-force skewness versus the gap ratio (G/D). The x-axis represents the gap ratio (G/D) ranging from 0 to 1.6, and the y-axis represents the skewness of the spanwise lateral force (Skew_Cz) ranging from -1.6 to 1.6. Data points are plotted for three different Reynolds numbers (Re = 420, Re = 500, Re = 600), with distinct markers for each. The graph is divided into symmetric and asymmetric regimes. Panel C: A line graph shows the time-averaged spanwise lateral force (Cz) as a function of the gap ratio (G/D). The x-axis represents the gap ratio (G/D) ranging from 0 to 1.6, and the y-axis represents the time-averaged spanwise lateral force (Cz) ranging from -0.02 to 0.02. Data points are plotted for three different Reynolds numbers (Re = 420, Re = 500, Re = 600), with distinct markers for each. Panel D: A line graph shows the fluctuation intensity of the spanwise lateral force (Cz,rms) as a function of the gap ratio (G/D). The x-axis represents the gap ratio (G/D) ranging from 0 to 1.6, and the y-axis represents the fluctuation intensity of the spanwise lateral force (Cz,rms) ranging from 0 to 0.04. Data points are plotted for three different Reynolds numbers (Re = 420, Re = 500, Re = 600), with distinct markers for each. The graph is divided into symmetric steady, symmetric unsteady, asymmetric unsteady I, and asymmetric unsteady II regimes.
The near-wake behaviour (
$420 \lesssim Re \leqslant 600$
) is delineated into four distinct regimes in figure 6. At
$0.1 \leqslant G/D \lesssim 0.28$
, the flow resides in the symmetric steady regime, exhibiting vanishing skewness and fluctuations (
$Skew \approx 0$
,
$C_{Z,rms}' \approx 0$
). This corresponds to the steady double-threaded structure in figure 4(d). As the gap increases to
$0.28 \lesssim G/D \lesssim 0.35$
, the wake enters the symmetric unsteady regime. While mean mirror symmetry persists (
$Skew \approx 0$
,
$\overline {C_{Z}} \approx 0$
), consistent with prior experiments (van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018), significant fluctuations emerge, associated with unsteady shear-layer motion (Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019; Yin & Ong Reference Yin and Ong2020). For
$G/D \gtrsim 0.35$
, the wake becomes asymmetric and unsteady. This domain is further subdivided into regimes I (
$0.35 \lesssim G/D \lt 0.8$
) and II (
$0.8 \lesssim G/D \leqslant 1.5$
) based on the direction of spanwise deflection. Crucially, the opposite signs of
$Skew_{w}$
and
$\overline {C_Z}$
between these regimes indicate that wake deflection is non-monotonic, suggesting a reversal of the wake-deflection direction as the sphere approaches the wall, highlighting a complex interaction before the final symmetry restoration (
$G/D \to 0.1$
).
These statistics substantiate the structural observations detailed in § 3.1. The symmetric regimes are characterised by coherent, bilaterally symmetric structures, such as aligned vortex loops and tip–vortex pairs (Hajimirzaie et al. Reference Hajimirzaie, Tsakiris, Buchholz and Papanicolaou2014; Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019). In contrast, the asymmetric regimes exhibit distorted, spanwise-inclined vortices undergoing azimuthal oscillations. Crucially, the statistical metrics quantitatively capture the shifting dominance of wall proximity. In the stronger interaction zone (asymmetric regime I,
$0.35 \lesssim G/D \lt 0.8$
), the wake displays negative
$Skew_{w}$
coupled with positive
$Skew_{C_{Z}}$
, reflecting a specific azimuthal bias imposed by intense wall confinement. As wall influence diminishes in asymmetric regime II (
$G/D \gtrsim 0.8$
), a sign inversion occurs (
$Skew_w \gt 0$
,
$Skew_{C_Z} \lt 0$
). This inversion quantitatively confirms the wake reorientation (deflection reversal) observed in the flow structure. Furthermore, the relaxation of confinement in regime II (
$G/D \geqslant 1.0$
) results in amplified lateral-force fluctuations (
$C'_{Z,rms}$
) compared to the wall-constrained regime I, supporting prior findings on wake alignment stability (van Hout et al. Reference van Hout, Eisma, Elsinga and Westerweel2018). Additionally, for
$Re=420, 500, 600$
, the four wake regimes and their sequence with decreasing
$G/D$
remain qualitatively similar. This suggests that
$G/D$
is the primary parameter controlling the asymmetric-to-symmetric transition, whereas
$Re$
mainly modulates the levels of skewness, mean lateral force, and lateral-force fluctuations.
Relative TKE contents
$e_{i}^{*}$
(red) and cumulative TKE portions
${\sum }_{1}^{i}e_{j}^{*}$
(blue) of the first
$100$
POD modes at
$Re=500$
.

4. Physical mechanism of the asymmetric-to-symmetric transition
4.1. The coherent structures of dominant spatial asymmetry and symmetry
This section aims to extract the coherent structures associated with spatial spanwise asymmetry and symmetry, including the upper hairpin vortex (
$\textrm{UHV}$
), lower hairpin vortex (
$\textrm{LHV}$
), longitudinal vortex (
$\textrm{LV}$
), and wall-secondary vortex (
$\textrm{WSV}$
). Since figure 6 shows that the overall regime sequence is qualitatively similar over
$Re=420, 500, 600$
,
$Re=500$
is selected as a representative case for the detailed mechanistic analysis. The POD (Wang et al. Reference Wang, Pan and Wang2022) is applied to extract the 3-D dominant coherent structures responsible for the observed changes in spatial symmetry. The snapshot POD method is applied to
$1200$
–
$1500$
instantaneous 3-D velocity fields
$(u, v, w)$
over the domain
$x/D = [-0.5, 15]$
,
$y/D = [0, 5]$
and
$z/D = [-2.5, 2.5]$
. Modes are ranked by their contribution to turbulent kinetic energy (TKE),
$e_{i}$
, and the normalised modal energy is defined as
$e_i^{*}=e_i / \sum e_j$
.
Figure 7 compares the POD energy spectra for
$G/D = 0.8, 0.5, 0.3$
. The rapid energy decay is consistent with the multi-scale 3-D nature of the wake (Tu et al. Reference van Hout, Eisma, Elsinga and Westerweel2023, Reference van Oudheusden, Scarano, Hinsberg and Watt2024). Nevertheless, the first 100 modes consistently capture approximately
$80{-}90\,\%$
of the total TKE, providing a compact representation of the energetically dominant motions. Notably, as
$G/D$
decreases, energy condenses markedly into the first two modes, indicating a transition towards a more organised state dominated by large-scale coherent motions. Accordingly, we reconstruct the flow using the first
$100$
modes,
\begin{equation} \boldsymbol{u}_{\textit{reconstruct}}(x,y, z,t)=\overline {\boldsymbol{u}} + \sum _{i=1}^{100} \alpha _{i}(t)\, \boldsymbol{\varPsi }_{i}(x,y,z), \end{equation}
and later further filter the expansion to isolate the structures associated with the primary shedding frequency.
Spectra of the temporal coefficients of the first six POD modes at
$Re=500$
, based on streamwise (solid lines), wall-normal (dash-dotted lines) and spanwise (dotted lines) velocities: (a,d)
$G/D=0.8$
, (b,e)
$G/D=0.5$
, (c,f)
$G/D=0.3$
. Plots (d–f) compare the original spanwise motion with the POD-reconstructed spanwise motion. Modes 1–2 and modes 1–4 correspond primarily to
$St_1$
and
$St_1+St_2$
at
$G/D =0.8, 0.5$
, while modes 1–2, modes 1–4 and modes 1–6 correspond primarily to
$St_1$
,
$St_1+2St_1$
and
$St_1+2St_1+St_2$
at
$G/D =0.3$
. (g) The corresponding near-wake symmetry metric, highlighting the roles of
$St_1$
and
$St_2$
in the temporal modulation and spatial asymmetry/symmetry characteristics of the near wake.

Figure 8. Long description
Panel A: A line graph showing the spectra of the temporal coefficients of the first six POD modes at G/D = 0.8, based on streamwise (solid lines), wall-normal (dash-dotted lines), and spanwise (dotted lines) velocities. The x-axis represents the Strouhal number (St) on a logarithmic scale, and the y-axis represents the normalized magnitude of the temporal coefficients. Panel B: A similar line graph for G/D = 0.5. Panel C: Another line graph for G/D = 0.3. Panel D: A line graph comparing the original spanwise motion with the POD-reconstructed spanwise motion for G/D = 0.8. The x-axis represents the non-dimensional time (tD/U∞), and the y-axis represents the integrated spanwise velocity. Panel E: A similar comparison for G/D = 0.5. Panel F: Another comparison for G/D = 0.3. Panel G: A scatter plot showing the near-wake symmetry metric as a function of G/D, highlighting the roles of different modes in the temporal modulation and spatial asymmetry/symmetry characteristics of the near wake. The x-axis represents the ratio G/D, and the y-axis represents the skewness of the spanwise velocity.
To characterise the temporal content of the dominant modes, we compute Fourier spectra of the temporal coefficients of the first six modes (each contributing
${\gt} 2\,\%$
of the TKE). Figures 8(a–c) show that modes 1 and 2 are associated with
$St_1$
, indicating that the first two POD modes form a pair representing the dominant periodic component of primary vortex shedding. In the asymmetric regimes II and I, a low-frequency
$St_2$
appears in higher-order modes, suggesting the presence of slow temporal variations in the reconstructed signal. The coexistence of
$St_1$
and
$St_2$
is consistent with previously reported multi-frequency or quasi-periodic shedding (Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019; Frantz et al. Reference Frantz, Mimeau, Salihoglu, Loiseau and Robinet2025). In the symmetric unsteady regime, modes 3 and 4 show a clear
$2St_1$
contribution, suggesting a coherent harmonic response associated with the primary shedding, while the
$St_2$
component becomes weaker and shifts to higher-order modes. Figures 8(d–f) compare the semi-integrated spanwise velocity from the original field and POD-reconstructed fields. The signal is defined as
to characterise the spanwise motion, where
$V_{z\lt 0}$
and
$V_{z\gt 0}$
denote the two spanwise halves of the selected near-wake region. The POD reconstructions are obtained using different combinations of modes associated with the dominant frequencies. For all
$G/D$
, modes 1–2, which are dominated by
$St_1$
, are used for the
$St_1$
reconstruction. At
$G/D = 0.8, 0.5$
, modes 1–4 are used for the
$St_1+St_2$
reconstruction. At
$G/D = 0.3$
, modes 1–4 and 1–6 are used for the
$St_1+2St_1$
and
$St_1+2St_1+St_2$
reconstructions, respectively. With this mode-based definition, the first two modes reproduce the main periodic variation associated with the primary shedding. The inclusion of higher-order modes improves the representation of the slower phase and amplitude variations, or of the
$2St_1$
harmonic in the symmetric unsteady case. The results suggest that
$St_1$
captures the main periodic variation, and
$St_2$
improves the representation of the slower phase and amplitude variations. The skewness metric in figure 8(g) further shows that the reconstructions follow similar overall spatial asymmetry/symmetry trends (in figure 6
a). This suggests that
$St_2$
mainly contributes to temporal modulation in the present reconstruction, rather than independently determining the dominant spatial asymmetry/symmetry of the near wake.
To identify the coherent structures that characterise the spanwise asymmetry or symmetry of the near wake, we reconstruct the flow using the mean field and the dominant energetic modes associated with
$St_1$
. This reconstruction is used to extract the dominant
$St_1$
structural skeleton of the near wake, rather than to represent the full instantaneous dynamics. Figure 9 shows that the reconstructed structures retain the main three-stage evolution observed as
$G/D$
decreases. In the asymmetric regime II (
$G/D=0.8$
, in figures 9
a,d), the reconstruction captures alternating shedding of
$\textrm{UHV}$
and
$\textrm{LHV}$
, consistent with figure 4(a). This alternation helps to maintain a spanwise phase offset, and contributes to the observed asymmetric deflection. In the asymmetric regime I (
$G/D=0.5$
, in figures 9
b,e), suppression of the lower hairpin head converts the lower structure into the
$\textrm{LV}$
(in figure 4
b). Its interaction with the
$\textrm{WSV}$
reshapes the induced velocity field, and contributes to the reversal of the spanwise deflection. In the symmetric unsteady regime (
$G/D=0.3$
, in figures 9
c,f), the reconstruction captures the merger of the
$\textrm{LV}$
s with the
$\textrm{WSV}$
, weakening the spanwise phase offset, and yielding a nearly mirror-symmetric near wake. Meanwhile, the initial convection velocity remains nearly constant at
$u_0 \approx 0.8U_\infty$
, while the near-wake wavelength contracts from
$\lambda _0/D \approx 4.45$
(
$G/D=0.8$
) to
$\lambda _0/D \approx3.95$
(
$G/D=0.3$
). This shortening of
$\lambda _0$
accounts for the observed increase in the primary frequency through
$f_1 \approx u_{0}/\lambda _0$
. Overall, the above analysis indicates that the observed spatial asymmetry/symmetry is reflected not only in the mean flow, but also in the dominant coherent structures associated with the primary shedding.
Reconstructed near-wake structures at
$Re = 500$
using the mean flow and the first two POD modes. Iso-surfaces of
$Q^{*} = 0.0025$
are visualised alongside contours of the normalised streamwise velocity
$u^{*}$
. Streamwise vorticity and in-plane velocity vectors
$(v^*, w^*)$
are plotted on the
$y{-}z$
plane. Sampling locations are
$x/D = 2.7, 3.05, 3.5$
for (a–c), and
$x/D = 2.5, 2.85, 3.25$
for (d–f). Here, (a,d)
$G/D = 0.8$
, (b,e)
$G/D = 0.5$
, (c,f)
$G/D = 0.3$
.

4.2. Vorticity transport analysis of the coherent structures governing the symmetry transition
While § 4.1 delineated the structural evolution from asymmetry to symmetry, the physical mechanism underlying this transition remains to be further quantified. Specifically, the role of the
$\textrm{WSV}$
in weakening the spanwise asymmetry as
$G/D$
decreases remains to be identified. To address this, we examine the vorticity transport equation (Wu et al. Reference Wu, Ma and Zhou2006), as vorticity provides a physically grounded description of the dynamical evolution of fluid motion (Kumar et al. Reference Kumar, Meneveau and Eyink2023). This transport equation governs the evolution of coherent structures through convection, stretching and tilting (Chen et al. Reference Chen, Zhou, Werner, Cheng and Wu2023; Tu et al. Reference Tu, Wang, Gao, She, Wang, Wang and Wei2023; Chen & Wu Reference Chen and Wu2024; da Silva et al. Reference da Silva, Sumner and Bergstrom2024). In dimensionless Cartesian coordinates, it is expressed as
We focus on the streamwise (
$\omega _x$
) and wall-normal (
$\omega _y$
) components. The
$\omega _x$
component characterises the hairpin legs and longitudinal vortices (
$\textrm{LV}$
), whereas
$\omega _y$
captures the vertical wake–wall interactions (Niu et al. Reference Niu, Dou, Zhou and Xu2024). In contrast, the spanwise component (
$\omega _z$
) is largely dominated by the background mean shear. The component-wise budgets are given by
\begin{equation} \frac {\partial {{\omega }_{x}^*}}{\partial {t}} + \underbrace {{u^*}\frac {\partial {{\omega }_{x}^*}}{\partial {x^*}}}_{C_{xx}} + \underbrace {{v^*}\frac {\partial {{\omega }_{x}^*}}{\partial {y^*}}}_{C_{xy}} + \underbrace {{w^*}\frac {\partial {{\omega }_{x}^*}}{\partial {z^*}}}_{C_{xz}} = \underbrace {{{\omega }_{x}^*}\frac {\partial {u^*}}{\partial {x^*}}}_{S_{x}} + \underbrace {{{\omega }_{y}^*}\frac {\partial {u^*}}{\partial {y^*}}}_{T_{{y}\Rightarrow {x}}} + \underbrace {{{\omega }_{z}^*}\frac {\partial {u^*}}{\partial {z^*}}}_{T_{{z}\Rightarrow {x}}} + \frac {{{\nabla} }^{2}{{\omega }_{x}^*}}{Re}, \end{equation}
\begin{equation} \frac {\partial {{\omega }_{y}^*}}{\partial {t}} + \underbrace {{u^*}\frac {\partial {{\omega }_{y}^*}}{\partial {x^*}}}_{C_{yx}} + \underbrace {{v^*}\frac {\partial {{\omega }_{y}^*}}{\partial {y^*}}}_{C_{yy}} + \underbrace {{w^*}\frac {\partial {{\omega }_{y}^*}}{\partial {z^*}}}_{C_{yz}} = \underbrace {{{\omega }_{x}^*}\frac {\partial {v^*}}{\partial {x^*}}}_{T_{{x}\Rightarrow {y}}} + \underbrace {{{\omega }_{y}^*}\frac {\partial {v^*}}{\partial {y^*}}}_{S_{y}} + \underbrace {{{\omega }_{z}^*}\frac {\partial {v^*}}{\partial {z^*}}}_{T_{{z}\Rightarrow {y}}} + \frac {{{\nabla} }^{2}{{\omega }_{y}^*}}{Re}, \end{equation}
where
$C_{ij}$
(with
${i, j} \in \{{x, y, z}\}$
) denotes the convection of
$i$
-direction vorticity by the
$j$
-direction velocity component. The source terms are categorised as stretching (
$S_i$
), representing the extension or compression of vortex lines, and tilting (
$T_{{i} \Rightarrow {j}}$
), representing the reorientation of vorticity from direction
$i$
to
$j$
. To quantify the key contribution to the recovery of spatial symmetry, we define the spanwise net budget as
$\varSigma_{M} = M_{+z} + M_{-z}$
. Since a mirror-symmetric wake requires an antisymmetric distribution of
$\omega _x$
and
$\omega _y$
, the positive- and negative-spanwise contributions of the corresponding budget terms are expected to largely cancel, giving
$\varSigma_{M} \approx 0$
. Thus a non-zero residual serves as a quantitative metric of dynamical asymmetry. Additionally, we define
$I_{M}(y, \theta ) = \varSigma_{M}/\max_{y \in Y(\theta )}(|M_{+z}|+|M_{-z}|)$
, where
$Y(\theta )$
denotes the selected wall-normal region at phase
$\theta$
. Based on the symmetric state and the sensitivity tests,
$|I_M| \lesssim 5\times 10^{-3}$
is taken as the operational near-zero range (see figure 22 in Appendix C). In this range,
$\varSigma_M$
is treated as approximately zero in the present study.
To clarify the main contributors to the above transition, we examine the specific terms governing spanwise evolution for wall-normal and spanwise convection (
$C_{xy}$
,
$C_{yy}$
,
$C_{xz}$
,
$C_{yz}$
), stretching (
$S_x$
,
$S_y$
) and tilting of
$\omega _z$
into
$\omega _x$
and
$\omega _y$
(
$T_{z \Rightarrow x} = \omega _{z}\, \partial u/ \partial z$
,
$T_{z \Rightarrow y} = \omega _{z}\, \partial v/ \partial z$
). These budget distributions (in figures 10 and 11) are derived by first computing each vorticity transport term from the original instantaneous velocity fields (30 primary vortex-shedding cycles), and the resulting budget terms are then phase-averaged with respect to
$St_1$
. This helps to retain the spatial asymmetry/symmetry of the primary shedding while reducing the temporal modulations associated with
$St_2$
(see figure 21 in Appendix C). The phase-averaged analysis is performed over six phase angles, defined by
with phase interval
$\Delta {\theta }=\pi /3$
. For a selected physical quantity
$M$
, the integrated contribution at a given wall-normal location is evaluated as
where
$M$
denotes the selected term in the vorticity transport equation, and
$\Delta S(x,j,z)$
is the local area element of the vortex-associated slice at the grid point
$(x,z)$
for the wall-normal index
$j$
. The instantaneous 3-D vortex-core region is identified as the connected component in the domain
$x/D \times y/D \times z/D=[0,5]\times [0,5]\times [-2.5,2.5]$
. In each
$+z$
and
$-z$
half-domain, this region is defined as the 3-D connected component that contains the maximum
$Q_{max }$
, satisfies
$Q(x,y,z,t) \gt \alpha\, Q_{rms}(x,y,z)$
(Zhang et al. Reference Zhang, Xia, Qiu, Dong and Liu2023) with
$\alpha = 0.25$
(see figure 20 in Appendix C), and meets the prescribed vorticity-sign conditions (
$\omega _x$
and
$\omega _y$
). For the
$\textrm{UHV}$
,
$(\omega _x,\omega _y)=(+,+)$
on the
$+z$
side, and
$(\omega _x,\omega _y)=(-,-)$
on the
$-z$
side. For the near-wall structures (
$\textrm{LHV}$
,
$LV-WSV$
and
$LV+WSV$
),
$(\omega _x,\omega _y)=(-,+)$
on the
$+z$
side, and
$(+,-)$
on the
$-z$
side. The summation is performed over the cross-sectional area obtained by intersecting the identified 3-D connected vortex region containing the vortex core with the corresponding
$x$
–
$z$
plane.
Phase-averaged vorticity transport budget terms integrated over the selected vortex-core regions of the
$\textrm{UHV}$
at
$Re=500$
. (a,d,g) The streamwise-vorticity budget (
$\omega _x^*$
). (b,e,h) The wall-normal-vorticity budget (
$\omega _y^*$
) at
$\theta =\pi /3$
. (c,f,i) The spanwise-vorticity tilting terms
$\sum T_{z\Rightarrow x}^*$
and
$\sum T_{z\Rightarrow y}^*$
at
$\theta =0,\pi /3,2\pi /3$
. (j,k,l) The corresponding wall-normal profiles of wall-normal velocity
$v^*$
and net spanwise velocity
$\sum w^*$
around the
$\textrm{UHV}$
vortex core at
$\theta =0, \pi /3, 2\pi /3$
for three
$G/D$
. At each wall-normal position (
$y/D$
), the identified instantaneous 3-D connected vortex-core region is intersected with the corresponding
$x$
–
$z$
plane, and the budget terms are integrated over the resulting cross-section. Solid and dashed curves denote the
$+z$
and
$-z$
side contributions, respectively, while the symbols denote their sum (
$\sum$
). Black curves represent the integrated vorticity components, namely
$\omega _x^*$
in (a,d,g), and
$\omega _y^*$
in (b,e,h). Green curves denote vortex stretching (
$S_x^*,S_y^*$
), and pink curves denote wall-normal convection (
$C_{xy}^*,C_{yy}^*$
). In (a–i), red and blue curves represent the spanwise-vorticity tilting terms
$T_{z\Rightarrow x}^*$
and
$T_{z\Rightarrow y}^*$
, respectively. Here, (a–c,j)
$G/D=0.8$
, (d–f,k)
$G/D=0.5$
, (g–i,l)
$G/D=0.3$
.

Figure 10. Long description
Panel A: A line graph shows the streamwise-vorticity budget with the y-axis labeled as ‘Tilting/stretching’ and the x-axis labeled as ‘y/D’. The graph includes multiple data series represented by different colors and symbols. Panel B: A line graph displays the wall-normal-vorticity budget with the y-axis labeled as ‘Vorticity’ and the x-axis labeled as ‘y/D’. Panel C: A scatter plot shows the spanwise-vorticity tilting terms with the y-axis labeled as ‘Sum of Tilting Terms’ and the x-axis labeled as ‘y/D’. Panel D: A line graph illustrates the streamwise-vorticity budget with the y-axis labeled as ‘Tilting/stretching’ and the x-axis labeled as ‘y/D’. Panel E: A line graph presents the wall-normal-vorticity budget with the y-axis labeled as ‘Vorticity’ and the x-axis labeled as ‘y/D’. Panel F: A scatter plot depicts the spanwise-vorticity tilting terms with the y-axis labeled as ‘Sum of Tilting Terms’ and the x-axis labeled as ‘y/D’. Panel G: A line graph shows the streamwise-vorticity budget with the y-axis labeled as ‘Tilting/stretching’ and the x-axis labeled as ‘y/D’. Panel H: A line graph displays the wall-normal-vorticity budget with the y-axis labeled as ‘Vorticity’ and the x-axis labeled as ‘y/D’. Panel I: A scatter plot illustrates the spanwise-vorticity tilting terms with the y-axis labeled as ‘Sum of Tilting Terms’ and the x-axis labeled as ‘y/D’. Panel J: A line graph shows the wall-normal profiles of wall-normal velocity with the y-axis labeled as ‘Velocity’ and the x-axis labeled as ‘y/D’. Panel K: A line graph presents the wall-normal profiles of wall-normal velocity with the y-axis labeled as ‘Velocity’ and the x-axis labeled as Șy/D’. Panel L: A line graph depicts the wall-normal profiles of wall-normal velocity with the y-axis labeled as ‘Velocity’ and the x-axis labeled as ‘y/D’.
Phase-averaged vorticity transport budget terms integrated over the selected vortex-core regions of the near-wall wake structures at
$Re = 500$
. These structures include the
$\textrm{LHV}$
at
$G/D=0.8$
, the longitudinal vortex and wall-secondary vortex (
$LV-WSV$
) at
$G/D=0.5$
, and the merged structure (
$LV+WSV$
) at
$G/D=0.3$
. Plots (a,d,g) and (b,e,h) show the streamwise (
$\omega _x^*$
) and wall-normal (
$\omega _y^*$
) vorticity budgets at
$\theta =4\pi /3$
, respectively. Plots (c,f,i) show the integrated spanwise-vorticity tilting terms
$\sum T_{z\Rightarrow x}^*$
and
$\sum T_{z\Rightarrow y}^*$
at
$\theta =\pi , 4\pi /3, 5\pi /3$
. Plots (j,k,l) show the corresponding wall-normal profiles of
$v^*$
and net spanwise velocity
$\sum w^*$
around the near-wall vortex core at
$\theta =\pi , 4\pi /3, 5\pi /3$
for three
$G/D$
values. At each
$y/D$
, the identified instantaneous 3-D connected vortex-core region is intersected with the corresponding
$x$
–
$z$
plane, and the budget terms are integrated over the resulting cross-section to obtain the profiles plotted as functions of
$y/D$
. Solid and dashed curves denote the
$+z$
and
$-z$
side contributions, respectively, while symbols denote their sum (
$\sum$
). Black curves represent the integrated vorticity components, namely
$\omega _x^*$
in (a,d,g), and
$\omega _y^*$
in (b,e,h). Green curves denote vortex stretching (
$S_x^*,S_y^*$
), and pink curves denote wall-normal convection (
$C_{xy}^*,C_{yy}^*$
). In (a–i), red and blue curves represent the spanwise-vorticity tilting terms
$T_{z\Rightarrow x}^*$
and
$T_{z\Rightarrow y}^*$
, respectively. Here, (a–c,j)
$G/D=0.8$
, (d–f,k)
$G/D=0.5$
, (g–i,l)
$G/D=0.3$
.

4.2.1. Asymmetric vortex shedding and reversal deflection
The asymmetric regime II is maintained by unequal vorticity transport contributions on the
$+z$
and
$-z$
sides. At the relatively large gap
$G/D = 0.8$
, the weakened wall influence allows intrinsic vorticity asymmetries to dominate the primary hairpin shedding. To quantify this asymmetry, we evaluate the transport budgets with
$y/D \in [1.65, 2.15]$
for the vortex core regions of the
$\textrm{UHV}$
at two sides of the spanwise direction (
$\theta = 0, \pi /3, 2\pi /3$
). Similarly,
$\theta = \pi , 4\pi /3, 5\pi /3$
represents transport budgets with
$y/D \in [0.15, 1.05]$
for the vortex core regions of the
$\textrm{LHV}$
at two sides of the spanwise direction.
When
$\theta = 0, \pi /3, 2\pi /3$
, the forming
$\textrm{UHV}$
exhibits a pronounced structural asymmetry. While the velocity field indicates a general inward leg convergence (
$w^*$
) and local downward transport (
$v^{*} \lt 0$
over
$1.65 \lesssim y/D \lesssim 2.15$
) (in figure 10
j), the streamwise and wall-normal vorticity is notably asymmetric. The
$-z$
side exhibits significantly stronger intensity than the
$+z$
side, pointing to a structurally dominant leg that biases the wake (in figures 10
a,b). Budget analysis (see figure 23 in Appendix C) indicates that this spanwise deflection is controlled by the asymmetric tilting (
$T_{z \Rightarrow x}^*$
,
$T_{z \Rightarrow y}^*$
). On the
$-z$
side (in figures 10
a–c),
$T_{z \Rightarrow y}^{*} \lt 0$
provides a negative contribution to the local evolution of
$\omega _y^*$
through
$\partial v^*/\partial z^*$
, and
$T_{z\Rightarrow x}^* \gt 0$
acts against the local negative
$\omega _x^*$
, providing a weakening effect. These tilting terms therefore modify the local vorticity evolution, rather than directly prescribing the sign of the vorticity components. This uneven conversion generates a net tilting residual (
$\sum T_{z \Rightarrow x}^{*} \gt 0$
and
$\sum T_{z \Rightarrow y}^{*} \lt 0$
), which promotes the net deflection of the
$\textrm{UHV}$
towards the
$+z$
direction. Additionally, on the
$-z$
side,
$T_{y \Rightarrow x}^{*} \lt 0$
provides a negative contribution to the local evolution of
$\omega _x^{*}$
, and this contribution is stronger than the opposing positive contribution from
$T_{z \Rightarrow x}^{*}$
(see figure 20(a) in Appendix C). This suggests that wall-induced shear strain (
$\partial u^{*}/ \partial y^{*}$
) tends to amplify the dominant leg, consistent with near-wall bluff-body dynamics (Zhou et al. Reference Zhou, Qiu, Li and Liu2021, Reference Zhou, Qiu, Li and Liu2025; Li et al. Reference Li, Wang, Qiu, Wu, Zhou, Fu and Liu2022a
,Reference Li, Wang, Qiu, Wu, Zhou, Fu and Liu
b
, Reference Li, Wang, Qiu, Wu, Zhou, Fu and Liu2025; Zhang et al. Reference Zhang, Xia, Qiu, Dong and Liu2023, Reference Zhang, Ma, Xia, Qiu and Liu2024). While the above tilting provides the leading contribution, the structure is also supported by convection and stretching. On the weaker
$+z$
side (
$1.7 \lesssim y/D \lesssim 2.05$
), positive wall-normal convection (
$C_{yy}^{*} \gt 0$
) and stretching (
$S_y^{*} \gt 0$
) indicate the classic ‘top-down’ advection of vorticity, consistent with wall-mounted hemisphere wake formation (Tu et al. Reference Tu, Wang, Gao, She, Wang, Wang and Wei2023). However, in this asymmetric regime, these terms follow the deflection primarily set by the spanwise tilting.
When
$\theta = \pi , 4\pi /3, 5\pi /3$
, following
$\textrm{UHV}$
shedding, the cycle progresses to the formation of the
$\textrm{LHV}$
, a process associated with the vertical ejection of near-wall coherent structures. The wall-normal velocity reverses sign (
$v^*\gt 0$
), indicating local upward transport (in figure 11
j). This structural evolution is reflected by the sign reversal of the wall-normal convection terms (
$C_{yy}^{(+)} \rightarrow C_{yy}^{(-)}$
,
$C_{xy}^{(-)} \rightarrow C_{xy}^{(+)}$
) compared to the
$\textrm{UHV}$
phase (in figures 11
a,b). This vertical transport establishes a convective pathway that feeds vorticity into the head of the forming
$\textrm{LHV}$
. The near-wall flow retains a spanwise asymmetry. The asymmetry remains modulated by tilting, though the spatial deflection shifts direction. On the
$+z$
side,
$T_{z \Rightarrow y}^{*} \gt 0$
contributes positively to the local evolution of
$\omega _y^{*}$
, thereby strengthening the local positive
$\omega _y^{*}$
. On the
$-z$
side,
$T_{z \Rightarrow x}^{*} \lt 0$
contributes negatively to the local evolution of
$\omega _x^{*}$
, thereby weakening the local positive
$\omega _x^{*}$
. The integrated net effects (
$\sum T_{z \Rightarrow x}^{*} \lt 0$
,
$\sum T_{z \Rightarrow y}^{*} \gt 0$
) reveal a dominant tilting contribution on the
$+z$
side, combined with magnitude asymmetries (
$|T_{z \Rightarrow y}^{*}(+z)| \gt |T_{z \Rightarrow y}^{*}(-z)|$
), in figure 11(c). This net residual promotes a net deflection towards the
$-z$
direction. Thus the
$\textrm{UHV}$
is shaped by asymmetric tilting, which promotes spanwise deflection towards
$+z$
, while the
$\textrm{LHV}$
is influenced by wall-normal convection and tilting net residual, with a deflection towards
$-z$
. In the asymmetric regime, these opposing deflections do not fully cancel, thereby maintaining the persistent near-wake deflection (in § 3).
The reorganisation of the vorticity field as
$G/D$
decreases marks the shift from the asymmetric regime II to regime I. The budget analysis indicates that this process is mediated by
$T_{z\Rightarrow y}$
and
$T_{z\Rightarrow x}$
, and wall-normal convection
$C_{xy}$
and
$C_{yy}$
. In regime II (
$0.8 \lesssim G/D \leqslant 1.5$
), the near wake is characterised by a persistent
$+z$
deflection sustained by a specific tilting asymmetry. However, as the gap narrows to
$0.5$
(regime I), the intensification of wall-induced velocity gradients promotes a reversal of the spanwise tilting mechanism. This reversal is illustrated by the six phase-resolved fields at
$G/D=0.5$
. The values
$\theta =0, \pi /3, 2\pi /3$
correspond to the
$\textrm{UHV}$
formation process (
$y/D \in [1.35, 1.85]$
), whereas
$\theta =\pi , 4\pi /3, 5\pi /3$
capture the near-wall vortex reorganisation after
$\textrm{UHV}$
shedding, where the
$\textrm{LHV}$
is replaced by the coupled
$LV-WSV$
structure (
$y/D \in [0.15, 0.95]$
).
Unlike the previous regime II, when
$\theta =0, \pi /3, 2\pi /3$
, the modified gradients (
$\partial u^{*}/\partial z^{*}$
,
$\partial v^{*}/\partial z^{*}$
) generate an inverted tilting asymmetry (in figures 12
b,e). Specifically, the tilting terms now exhibit a dominance on the
$+z$
side (
$|T_{z \Rightarrow y}^{*} (+z)| \gt |T_{z \Rightarrow y}^{*} (-z)|$
and
$|T_{z \Rightarrow x}^{*} (+z)| \gt |T_{z \Rightarrow x}^ {*} (-z)|$
) (in figures 10
d–f). This kinematic inversion creates a net effect (
$\sum T_{z \Rightarrow y}^{*} \gt 0$
,
$\sum T_{z \Rightarrow x}^{*} \lt 0$
) that promotes the development of the
$\textrm{UHV}$
towards the
$-z$
side. While the
$\textrm{UHV}$
retains its characteristic downward mass flux (
$v^* \lt 0$
) (in figure 10
k) and stretching characteristics similar to regime II, these convective transport mechanisms are now modulated by the reversed tilting. The reversed tilting net residual opposes the
$+z$
-oriented trend observed in regime II (in figures 10
a–c), and provides a specific vorticity budget explanation for the deflection reversal in the upper wake.
When
$\theta = \pi , 4\pi /3, 5\pi /3$
(in figures 11
d–f), the severe wall blockage in regime I alters the near-wall structures. The canonical
$\textrm{LHV}$
observed in regime II is weakened and breaks into a headless
$\textrm{LV}$
, which then interacts with the
$\textrm{WSV}$
. This structural disintegration is primarily associated with a complex, bidirectional wall-normal convection pattern (
$C_{yy}^*$
,
$C_{xy}^*$
). Analysis of
$C_{yy}^{*}$
and
$C_{xy}^{*}$
(in figures 11
b,e) indicates a vertical convection towards two sides of the wall-normal direction. For the
$\textrm{LV}$
, on the
$+z$
side, positive convection (
$v^{*} \gt 0$
) indicates the upward transport tendency, consistent with the ejection of the
$\textrm{LV}$
core away from the wall. For the
$\textrm{WSV}$
, conversely, strong negative convection contributions indicate that
$\omega _y^{*}$
and
$\omega _x^{*}$
are transported back towards the near-wall region (in figures 11
b,e). This divergent convective transport promotes the vertical segregation of the two structures, thereby limiting the formation of a unified hairpin head. This vertical segregation is compounded by opposing spanwise deflections driven by tilting. While the
$\textrm{LV}$
is driven towards the
$+z$
side by net tilting (
$\sum T_{z \Rightarrow x}^{*} \gt 0$
), the
$\textrm{WSV}$
is deflected towards the
$-z$
side by localised tilting (
$|T_{z \Rightarrow x}^{*} (+z)| \lt |T_{z \Rightarrow x}^{*} (-z)|$
). Since these structures are convectively decoupled in the vertical direction and exhibit opposite spanwise deflections induced by secondary tilting, their physical merger is weakened. This spatial separation helps to maintain the unique asymmetric topology of regime I.
In summary, the transition from asymmetric regime II to regime I is mediated by the evolution of wall-induced velocity-gradients (in figures 12
a,b,d,e). This gradient modification is reflected in two aspects. First, it reverses the primary spanwise-tilting net residual (
$T_{z\Rightarrow x}$
,
$T_{z\Rightarrow y}$
), leading to the global reversal of the upper wake deflection. Crucially, it transforms the lower wake into a wall-constrained regime that segregates the
$\textrm{LV}$
and
$\textrm{WSV}$
. This limits the vortex merger, sustaining the asymmetric structures despite the global reorganisation.
4.2.2. Symmetric vortex shedding and symmetry restoration
Symmetry recovery is completed as the wake enters the symmetric regime (
$G/D = 0.3$
). In this state, the spanwise gradients (
$\partial u^*/\partial z^*, \partial v^*/\partial z^*$
) that promoted the previous asymmetries largely vanish (in figures 12
c,f). To quantify this pathway, vorticity transport budgets (in (4.4)–(4.5)) are evaluated over the vortex-core regions associated with the
$\textrm{UHV}$
and the coupled
$LV+WSV$
structure at the selected phase-averaged angles
$\theta =0, \pi /3, 2\pi /3, \pi , 4\pi /3, 5\pi /3$
.
Phase-averaged spanwise gradients of the streamwise and wall-normal velocities,
$\partial u^*/\partial z^*$
and
$\partial v^*/\partial z^*$
, integrated over the selected vortex-core regions at
$Re = 500$
. (a–c) The
$\textrm{UHV}$
during its formation at
$\theta =0$
,
$\pi /3$
and
$2\pi /3$
. (d–f) The near-wall wake structures, including the
$\textrm{LHV}$
,
$\textrm{LV}$
and
$\textrm{WSV}$
, at
$\theta =\pi ,4\pi /3,5\pi /3$
. The curve colour changes from dark to light as the phase angle
$\theta$
increases. At each
$y/D$
, the gradients are integrated over the cross-section of the identified instantaneous 3-D connected vortex-core region on the corresponding
$x$
–
$z$
plane before phase averaging. At the representative phases
$\theta =\pi /3$
and
$4\pi /3$
, solid and dashed curves denote the
$+z$
and
$-z$
side contributions, respectively, while symbols denote their sum (
$\sum$
). Here, (a,d)
$G/D=0.8$
, (b,e)
$G/D=0.5$
, (c,f)
$G/D=0.3$
.

Figure 12. Long description
Panel A: A line graph shows velocity gradients for G/D = 0.8, UHV. The x-axis is labeled y/D and ranges from 1.6 to 2.2. The y-axis is labeled Velocity - gradients and ranges from -0.8 to 0.8. Different line styles and symbols represent various velocity gradient components. Panel B: A line graph shows velocity gradients for G/D = 0.5, UHV. The x-axis is labeled y/D and ranges from 1.3 to 1.9. The y-axis is labeled Velocity - gradients and ranges from -0.8 to 0.8. Different line styles and symbols represent various velocity gradient components. Panel C: A line graph shows velocity gradients for G/D = 0.3, UHV. The x-axis is labeled y/D and ranges from 1.2 to 1.8. The y-axis is labeled Velocity - gradients and ranges from -0.8 to 0.8. Different line styles and symbols represent various velocity gradient components. Panel D: A line graph shows velocity gradients for G/D = 0.8, LHV. The x-axis is labeled y/D and ranges from 0.1 to 1.1. The y-axis is labeled Velocity - gradients and ranges from -0.4 to 0.4. Different line styles and symbols represent various velocity gradient components. Panel E: A line graph shows velocity gradients for G/D = 0.5, LV - WSV. The x-axis is labeled y/D and ranges from 0.2 to 1.0. The y-axis is labeled Velocity - gradients and ranges from -0.4 to 0.4. Different line styles and symbols represent various velocity gradient components. Panel F: A line graph shows velocity gradients for G/D = 0.3, LV + WSV. The x-axis is labeled y/D and ranges from 0.2 to 0.8. The y-axis is labeled Velocity - gradients and ranges from -0.4 to 0.4. Different line styles and symbols represent various velocity gradient components.
When
$\theta = 0, \pi /3, 2\pi /3$
, the spanwise deflection of the
$\textrm{UHV}$
differs from the earlier asymmetric regimes. In regimes II and I, the wake is characterised by a distinct net contribution from asymmetric tilting (
$\sum T_{z \Rightarrow y}^* \neq 0$
), which promotes wake deflection towards
$+z$
and
$-z$
, respectively. In contrast, the symmetric regime is characterised by the near removal of this spanwise skewness. The budget analysis (in figures 10
g,h,i) reveals a state of an approximately antisymmetric distribution, where the tilting terms on the
$+z$
side are equal and opposite to those on the
$-z$
side (
$|T_{z {\Rightarrow } x}^{*}(+z)| \approx |T_{z {\Rightarrow } x}^{*}(-z)|$
and
$|T_{z {\Rightarrow } y}^{*}(+z)| \approx |T_{z {\Rightarrow } y}^{*}(-z)|$
). Consequently, the net spanwise tilting residual nearly vanishes (
$\sum T_{z \Rightarrow y}^* \approx 0$
and
$\sum T_{z \Rightarrow x}^* \approx 0$
). This removes the main tilting net residual that sustained the spanwise deflection in the earlier regimes. The result is a
$\textrm{UHV}$
with symmetric leg convergence, represented by the antisymmetric distribution of
$w^*$
, together with a nearly uniform downward velocity component (
$v^* \lt 0$
) (in figure 10
l). This marks a clear departure from the tilting mechanisms observed at larger gaps.
When
$\theta = \pi , 4\pi /3, 5\pi /3$
, the dynamical characteristics are characterised by a reorganisation of the near-wall structures. Unlike the asymmetric regimes I (where
$\textrm{LV}$
and
$\textrm{WSV}$
were isolated), this stage features the formation of a unified hybrid structure (
$LV + WSV$
). This structural fusion is facilitated by a near balance of wall-normal convection (
$C_{xy}^*$
and
$C_{yy}^*$
). The profiles (in figures 11
g,h,i) reveal a bidirectional convection mechanism. Upward convection lifts the near-wall
$\textrm{WSV}$
and downward convection transports the
$\textrm{LV}$
. These opposing fluxes converge into a central focal band (
$0.5 \lesssim y/D \lesssim 0.6$
), effectively ‘bridging’ the gap between the wall and the free stream. This convective bridging promotes vorticity exchange, and facilitates the merger of the previously isolated
$\textrm{LV}$
and
$\textrm{WSV}$
into a single structure. The near balance (
$\sum T_{z \Rightarrow y}^* \approx 0$
and
$\sum T_{z \Rightarrow x}^* \approx 0$
) supports the interpretation that the merger occurs near the centreline, without the lateral drift observed in previous regimes.
The analyses in §§ 4.2.1 and 4.2.2 indicate that wake transitions are strongly influenced by wall-induced modifications to the velocity-gradient field, specifically
$\partial u^*/\partial z^*$
and
$\partial v^*/\partial z^*$
. As
$G/D$
decreases, the critical factor is the spanwise homogenisation of these gradients. This kinematic smoothing substantially weakens the source terms for asymmetric tilting, thereby reducing the directional deflection. Simultaneously, this gradient evolution reconfigures the flow field, allowing wall-normal convection to shift into a ‘bridging’ mode that amalgamates the
$\textrm{LV}$
and
$\textrm{WSV}$
. Thus while larger gaps allow non-uniform gradients to promote deflection, strong wall confinement promotes kinematic uniformity, thereby favouring a symmetric near-wake state. The complete sequence of structural transitions and their corresponding vorticity-budget signatures is summarised in table 3.
With decreasing
$G/D$
, the wall homogenises the background velocity-gradients, which weakens the asymmetric tilting of spanwise vorticity, and enables the wake to recover symmetry.

Table 3. Long description
The table has four rows and four columns. The columns are labeled Near-wake, Asymmetric regime II, Asymmetric regime I, and Symmetric regime. The rows are labeled Flow structures, Vorticity tilting, and Wall-normal convection. Row 1: Flow structures, Persistent asymmetry (UHV deflection, LHV deflection), Asymmetry patterns (UHV deflection, LV deflection, WSV deflection), Symmetric patterns (UHV symmetric, LV merged). Row 2: Vorticity tilting, Primary driver of asymmetry (alternating), Reversed asymmetry (inverted), Restored symmetry (removed). Row 3: Wall-normal convection, Reinforces inclined transport in UHV and LHV, Spanwise-biased transport sustains LV and WSV, Symmetric bridging transport facilitates LV and WSV merger.
(a) Contours of the pressure Hessian term (
$-{\partial ^2 \overline {p^*}}/{\partial x^* \partial z^*}$
) on the
$y{-}z$
plane, evaluated at
$x/D = 2.5, 2.85, 3.35$
(representing the three regimes). Black circles denote the spanwise summation of the pressure-Hessian term. The white dashed circle represents the projected outline of the sphere on the plotted plane. (b) The wall-normal turbulent transport term (
$-{\partial \overline {u'v'}^*}/{\partial y^*}$
) evaluated in the symmetry plane (
$z/D = 0$
). (c) The distribution of spanwise Reynolds shear stress
$\overline {\tau _{uw}^*} = -\overline {u'w'}^* = -\overline {u'w'}/U_{\infty }^{2}$
on the mid-plane
$z/D = 0$
at
$Re = 500$
for
$G/D = 0.8, 0.5, 0.3$
.

Crucially, the re-equilibration of these gradients involves a corresponding adjustment of the pressure field. To clarify the momentum-balance basis of the observed spanwise-shear homogenisation (in figure 12), we examine the streamwise Reynolds-averaged Navier–Stokes momentum budget (4.8), where the balance of forces constrains the evolution of the shear strain. In (4.8), the mean convection (
$I$
) is balanced by the streamwise pressure gradient (
$ \textit{II} $
), turbulent transport (
$ \textit{III}-V$
) and viscous diffusion. Consistent with the Reynolds stress distribution (
$-\overline {u'w'}^{*}$
, in figure 13
c) and the wall-normal turbulent transport results in figure 13(b), decreasing
$G/D$
redistributes momentum transport. Specifically, the intense wall-jet effect amplifies wall-normal turbulent transport (
$ \textit{IV} $
), while simultaneously suppressing spanwise turbulent transport (
$V$
) to negligible levels. As the term
$(V)$
becomes negligible, the momentum balance is established between the streamwise pressure gradient
$-\partial \overline {p^*}/\partial x^*$
$(II)$
, inertial convection
$(I)$
and wall-normal turbulent transport
$(\textit{IV})$
. Consequently, wall confinement promotes a more spanwise-uniform distribution of the streamwise pressure gradient. We further assess the contribution of pressure reorganisation to symmetry recovery by analysing the pressure Hessian (4.9). This term represents a key pressure-related contribution to the balance governing the evolution of the shear strain (
$\partial \overline {u^*}/\partial z^*$
):
\begin{equation} \underbrace { {\overline {u^*}}\frac {\partial \overline {u^*}}{\partial {x^*}} + {\overline {v^*}}\frac {\partial \overline {u^*}}{\partial {y^*}} + {\overline {w^*}}\frac {\partial \overline {u^*}}{\partial {z^*}} }_{I} = \underbrace { -\frac {\partial \overline {p^*}}{\partial x^*} }_{II} -\left( \underbrace { \frac {\partial \overline {u'u'}^*}{\partial x^*} }_{III} + \underbrace { \frac {\partial \overline {u'v'}^*}{\partial y^*} }_{IV} + \underbrace { \frac {\partial \overline {u'w'}^*}{\partial z^*} }_{V} \right) + \frac {1}{Re} {{\nabla} }^{2}{{\overline {u^*}}}, \end{equation}
Figure 13(a) presents the transition of the pressure-Hessian distribution in the
$y{-}z$
plane for three
$G/D$
values. The results reveal that the spanwise-shear homogenisation develops together with the establishment of a spanwise-uniform pressure gradient. This change is reflected in the attenuation of the pressure-Hessian term in (4.9). At
$G/D = 0.3$
, the attenuation of this term substantially weakens the pressure-related contribution to the balance governing this spanwise shear strain,
$\partial u^*/\partial z^*$
. Therefore, the recovery of wake symmetry involves the reduction of
$\partial \overline {u^*}/\partial z^*$
and the weakening of the corresponding pressure-Hessian contribution, thereby reducing the difference in asymmetric vorticity tilting between the two spanwise sides. This finding is consistent with isolated bluff-body studies, in which pressure-gradient reorganisation has been linked to symmetry transitions (Johnson & Patel Reference Johnson and Patel1999). Additionally, in the present Reynolds number range (
$420 \lesssim Re \leqslant 600$
), the four wake regimes occur in the same sequence as
$G/D$
decreases, while variations in
$Re$
mainly modify the regime-classification quantities and the tested vorticity transport diagnostics. The detailed momentum-budget and pressure-Hessian analyses presented here are performed at
$Re=500$
.
4.3. The weakening of spanwise shear-layer deflection
In unbounded sphere wakes, the onset of symmetry breaking is linked to the structure of the base-flow azimuthal vorticity and its near-wake gradients (Magnaudet & Mougin Reference Magnaudet and Mougin2007; Chiarini et al. Reference Chiarini, Gauthier and Boujo2025). Following the results in § 4.2.2 that wall proximity homogenises the streamwise pressure and background velocity-gradients, we further examine how spanwise-vorticity compression and reorientation contribute to the weakening of spanwise shear-layer deflection as
$G/D$
decreases. To elucidate this process, we employ the mean spanwise stretching/compression indicator
$\overline {S_z^*}=\overline {\omega _z^*}\, \overline {\partial w^*/\partial z^*}$
to quantify the interaction between mean spanwise vorticity
$\omega _{z}^{*}$
and spanwise strain. It provides a local diagnostic of whether the mean strain field tends to amplify or compress spanwise vorticity. This approach is motivated by vortex-line stretching concepts linking mean strain to vorticity amplification (Wu et al. Reference Wu, Ma and Zhou2006), and by recent analyses of wake transition where mean stretching diagnostics successfully characterised the tearing of coherent structures (Verma & Hemmati Reference Verma and Hemmati2024). Here,
$\overline {S_{z}^{*}}$
is the mean compression or stretching of spanwise vorticity. The tilting term
$\overline {T_{x \Rightarrow z}^*} + \overline {T_{y \Rightarrow z}^*}$
is the mean reorientation of streamwise and wall-normal vorticity into the spanwise direction. Neither quantity is a perturbation growth rate or an eigenvalue-based stability measure.
Distribution of the mean spanwise vorticity compression
$\overline {S_{z}^{*}} = \overline {\omega _{z}^{*}}\, \overline {{\partial w^{*}} /{\partial z^{*}}}$
at
$Re = 500$
for different
$G/D$
values. Blue and red contours represent negative (
$\omega _{z}^{*}=-0.75,-0.15$
) and positive (
$\omega _{z}^{*}=+0.75,+0.15$
) spanwise vorticity, respectively. Here, (a)
$x/D =3.5$
,
$G/D = 0.8$
; (b)
$x/D =3.5$
,
$G/D = 0.5$
; (c)
$x/D =3.5$
,
$G/D = 0.3$
; (d)
$x/D =6.5$
,
$G/D = 0.1$
.

Figure 14 shows the distribution of
$\overline {S_z^*}$
on the
$y{-}z$
plane at different streamwise locations. In the upper shear-layer regions, where
$\overline {\omega _z^*} \lt 0$
(blue contours), a positive
$\overline {S_z^*}$
corresponds to spanwise compression of negative spanwise vorticity. In asymmetric unsteady regime II (
$G/D = 0.8$
, in figure 14
a),
$\overline {S_z^*} \gt 0$
exhibits strong intensity biased towards the
$+z$
side. This compression supports the upper shear-layer deflection towards
$+z$
, and helps to maintain the corresponding near-wake deflection (in figures 16
a,b). In asymmetric unsteady regime I (
$G/D = 0.5$
, in figure 14
b), the compression weakens, and its strongest region shifts to the
$-z$
side. This promotes upper shear-layer deflection towards
$-z$
, corresponding to the deflection reversal of the near wake (in figures 16
a,b). For the symmetric unsteady regime (
$G/D = 0.3$
, in figure 14
c), the compression becomes nearly symmetric about
$z=0$
, and no persistent shear-layer deflection towards either side remains. For the symmetric steady regime (
$G/D = 0.1$
, in figure 14
d),
$\overline {S_z^*}$
drops to negligible or negative levels (
$\overline {S_z^*} \lesssim 0$
). This collapse indicates that spanwise vorticity compression is largely reduced, consistent with the emergence of a steady, symmetric wake. This result is consistent with the attenuation of spanwise force fluctuations observed in figure 6(d).
The lower shear layer (
$\overline {\omega _z^*} \gt 0$
, red contours in figure 14) follows a similar trend, while spanwise vorticity compression corresponds to
$\overline {S_z^*} \lt 0$
. At
$G/D = 0.8$
, the negative-
$\overline {S_z^*}$
region is stronger on one spanwise side, consistent with the deflected lower shear layer. At
$G/D = 0.5$
, due to localised negative strain induced by interactions between the upper and near-wall shear layers, compression weakens. When the gap is further reduced to
$G/D = 0.3$
, the compression decreases markedly, thereby reducing the spanwise deflection of the lower shear-layer response, consistent with the reduced spanwise fluctuation intensity. At
$G/D = 0.1$
,
$\overline {S_{z}^{*}} \approx 0$
over most of the selected region, and the remaining compression is too weak to sustain a pronounced one-sided deflection. Complementing this process, figure 15 reveals that the tilting contribution
$\overline {T_{x \Rightarrow z}^*}+\overline {T_{y\Rightarrow z}^*}$
tends to locally attenuate
$\overline {\omega _z^*}$
, thereby opposing the persistence of spanwise vorticity (in figures 16
c,d). This implies that as
$G/D$
decreases, the conversion of streamwise and wall-normal vorticity into the spanwise component is weakened. This provides an additional mechanism through which spanwise fluctuations are reduced and the asymmetric deflection of the shear layer is weakened. Additionally, for
$Re=420, 500, 600$
, the four wake regimes and their sequence with decreasing
$G/D$
remain qualitatively similar, as shown in figure 6. This suggests that
$G/D$
is the primary parameter controlling the asymmetric-to-symmetric transition, whereas
$Re$
mainly modulates the levels of skewness, mean lateral force, and lateral-force fluctuations.
Distribution of the mean tilting contribution
$\overline {T_{x \Rightarrow z}^{*}} + \overline {T_{y \Rightarrow z}^{*}}$
at
$Re = 500$
for different
$G/D$
values. Blue and red represent negative (
$\omega _{z}^{*}=-0.75,-0.15$
) and positive (
$\omega _{z}^{*}=+0.75,+0.15$
) spanwise vorticity, respectively. Here, (a)
$x/D =3.5$
,
$G/D = 0.8$
; (b)
$x/D =3.5$
,
$G/D = 0.5$
; (c)
$x/D =3.5$
,
$G/D = 0.3$
; (d)
$x/D =6.5$
,
$G/D = 0.1$
.

Figure 15. Long description
Panel A: A 3D plot shows the distribution of mean tilting contribution with axes labeled x/D, y/D, and z/D. The color scale ranges from negative to positive spanwise vorticity. The 2D projection below shows a side view, and the bottom plot shows a top view with blue and red representing negative and positive vorticity, respectively. Panel B: Similar to Panel A, this 3D plot and its projections show the distribution for different values, with corresponding side and top views. Panel C: This 3D plot and its projections depict the distribution for another set of values, with side and top views. Panel D: The final 3D plot and its projections show the distribution for the highest set of values, with side and top views.
Spanwise distributions of the mean spanwise-vorticity compression
$\overline {S_z^{*}}$
and the mean vorticity-
reorientation contribution
$\overline {T_{x\Rightarrow z}^{*}} +\overline {T_{y\Rightarrow z}^{*}}$
in the selected upper and lower shear-layer regions for
$G/D = 0.8, 0.5, 0.3, 0.1$
. (a,b) Plots of
$\overline {S_z^{*}}$
in the upper and lower shear layers, respectively. (c,d) Plots of
$\overline {T_{x\Rightarrow z}^{*}} +\overline {T_{y\Rightarrow z}^{*}}$
in the upper and lower shear layers, respectively. Solid red, dashed black, and dotted purple curves denote
$Re=420, 500, 600$
, respectively. Yellow markers indicate the dominant extremum in each selected shear-layer region.

In summary, the distributions of
$\overline {S_z^*}$
and the tilting terms indicate that the spanwise deflection of the shear layers is modulated by vorticity compression and reorientation. As
$G/D$
decreases, the difference in compression between the
$+z$
and
$-z$
sides diminishes, and the reorientation towards either side becomes weaker, thereby reducing the ability of the shear layers to sustain a preferred spanwise deflection. These changes provide a physical interpretation of the reduced capacity of the shear layers to sustain spanwise asymmetry during the observed wake transition, including the monotonic decay of the lateral-force fluctuations
$C'_{Z,{rms}}$
(in figure 6
d). Specifically, the reduced compression in the lower shear layer weakens its tendency to form asymmetric shedding structures. The arch- and base-vortex structures in figure 4(d) emerge after the persistent spanwise deflection has been substantially reduced. Notably, the persistence of double-threaded structures at
$G/D = 0.1$
suggests that streamwise-oriented vortex dynamics may remain active after spanwise asymmetry has been strongly reduced, consistent with related observations for isolated sphere wakes (Ghidersa & Dusek Reference Ghidersa and Dusek2000; Tiwari et al. Reference Tiwari, Bale, Patwardhan, Nandakumar and Joshi2019). Therefore, the transition from asymmetry to symmetry is characterised primarily by the gap-dependent weakening of the spanwise shear-layer deflection, as evidenced by the decay and symmetrisation of
$\overline {S_z^*}$
, and the collapse of spanwise vorticity conversion in the lower shear layer. The wall does not merely alter the vortex structure, but also weakens the asymmetric compression and reorientation of spanwise vorticity that supports spanwise wake asymmetry.
5. Conclusion
In the present work, the symmetry breaking of a wall-proximity sphere wake at
$(Re, G/D) = (420{-}600, 0.1{-}1.5)$
is explored, and special attention is paid to the transition from spanwise asymmetric to spanwise symmetric near wake as
$G/D$
decreases. To address the problem under consideration, direct numerical simulations (DNS) and vorticity transport are employed. In the Reynolds number range, variations in
$Re$
mainly modulate the magnitudes of the physical quantities associated with the proposed mechanism, while the symmetry-restoration pathway remains primarily controlled by
$G/D$
. Notably, the results reported here apply to the present laminar boundary layer condition.
The present work observes that as
$G/D$
decreases, the near wake of the wall-proximity sphere transitions from asymmetric to symmetric. The flow is classified into four regimes, namely asymmetric unsteady II
$\to$
asymmetric unsteady I
$\to$
symmetric unsteady
$\to$
symmetric steady. Notably, this study reveals that the direction of asymmetric deflection reverses at small gap ratios. Specifically, in the asymmetric unsteady wake II regime (
$0.8 \lesssim G/D \leqslant 1.5$
), the near wake deflects towards the positive spanwise direction. It is characterised by spanwise-oscillating upper and lower hairpin vortices (
$\textrm{UHV}$
and
$\textrm{LHV}$
). In the asymmetric unsteady wake I regime (
$0.35 \lesssim G/D \lesssim 0.8$
), compared with regime II, the deflection reverses towards the negative spanwise direction. The flow features the
$\textrm{UHV}$
and lower vortex with a missing head (forming a longitudinal vortex,
$\textrm{LV}$
), accompanied by wall-secondary vortices (
$\textrm{WSV}$
). For the symmetric unsteady regime (
$0.28 \lesssim G/D \lesssim 0.35$
), the near wake displays a mirror-symmetric structure composed of
$\textrm{UHV}$
and a quasi-streamwise structure formed by the merging of
$\textrm{LV}$
with
$\textrm{WSV}$
. In the symmetric steady regime (
$0.1 \leqslant G/D \lesssim 0.28$
), the wake attains a steady, mirror-symmetric state, characterised by double-threaded structures and base vortices. Therefore, the results indicate that the interaction between the
$\textrm{WSV}$
and the primary wake vortices supports the symmetry recovery in the unsteady regimes by weakening spanwise asymmetry.
The POD analysis indicates that the wake is dominated by the hairpin-vortex shedding frequency (
$St_{1}$
) and modulation frequency (
$St_{2}$
). Reconstructions based on
$St_{1}$
successfully resolve the distinct spanwise deflection patterns of the primary vortices (
$\textrm{UHV}$
,
$\textrm{LHV}$
or
$\textrm{LV}$
) in the asymmetric unsteady regimes. Crucially, in the symmetric regime, it reveals a merger of
$\textrm{LV}$
and
$\textrm{WSV}$
, a synchronisation spectrally supported by the emergence of the
$2St_1$
harmonic. These observations are also supported by dynamic vorticity transport analysis. In the asymmetric unsteady regimes, the wake deflection is sustained by the spanwise asymmetry of streamwise and wall-normal vorticity tilting terms (
$T_{z \Rightarrow x} = \omega _{z}\, \partial u/\partial z$
,
$T_{z \Rightarrow y} = \omega _{z}\, \partial v/\partial z$
). Notably, the directional bias of these terms reverses between regimes II and I, providing the physical explanation for the observed deflection reversal. Additionally, in the symmetric unsteady regime, the streamwise pressure gradient and the background velocity gradients (
$\partial u/\partial z$
,
$\partial v/\partial z$
) become nearly uniform in the spanwise direction. The tilting contributions on the
$+z$
and
$-z$
sides become nearly equal and opposite, and the net contributions of
$T_{z\Rightarrow x}$
and
$T_{z\Rightarrow y}$
approach zero. The pressure-Hessian contribution associated with
$\partial u/\partial z$
also becomes weak. Simultaneously, the suppression of spanwise vorticity compression (
$S_{z} = \omega _{z}\, \partial w / \partial z$
) weakens the preferential spanwise deflection of the shear layer. Unlike the asymmetric regimes, where tilting contributions support wake deflection, the strong wall-proximity effect in the symmetric regime reduces the tilting asymmetry, thereby favouring a symmetric wake state.
Funding
This work was supported by the National Natural Science Foundation of China (grant nos 12032016 and 12372277).
Declaration of interests
The authors report no conflict of interest.
Appendix A. Undisturbed boundary layer profile and spatial grid verification
A reference flat-plate boundary layer simulation without the sphere is performed at
$420 \lesssim Re \leqslant 600$
to characterise the incoming flow. At
$Re = 500$
, the time-averaged streamwise velocity profile
$U/U_\infty$
is extracted along the wall-normal direction at
$x/D = 0$
, corresponding to the streamwise location of the sphere. As shown in figure 17(a), the computed velocity profile agrees well with the Blasius solution, confirming that the wall boundary layer remains laminar. Additionally, the first-layer thickness is approximately
$0.008D$
on both the sphere and the wall for all three
$Re$
values. At
$(Re,G/D)=(500,0.3)$
, the maximum
$y^+$
values are
$y_{max}^{+} \approx 0.155$
on the sphere and
$y_{max}^{+} \approx 0.063$
on the wall. The grid size is estimated using
$\varDelta = (\Delta {x} \times \Delta {y} \times \Delta {z})^{1/3}$
(Yakhot et al. Reference Yakhot, Liu and Nikitin2006). The Kolmogorov length scale is estimated as
$\eta = ({\nu }^3 / \varepsilon )^{1/4}$
, where
$\varepsilon = 2{\nu }\,{\overline {s_{ij}s_{ij}}}$
represents the strain-rate tensor. According to previous sphere studies (De & Sarkar Reference De and Sarkar2023), the smallest resolved scales should be comparable to the Kolmogorov scale
$\eta$
. Some numerical studies estimated the optimum criterion
$2 \leqslant \varDelta / \eta \leqslant 5$
for the critical regions of the flow using DNS (Yakhot et al. Reference Yakhot, Liu and Nikitin2006). Figures 17(b,c) show that the present grid satisfies
$(\varDelta / \eta \lesssim 1.2)$
, consistent with Goswami & Hemmati (Reference Goswami and Hemmati2022) (
$\varDelta / \eta \leqslant 1$
), indicating that the grid resolution is adequate for the present simulations.
(a) Comparison between the computed wall boundary layer velocity profile (without the sphere) and the theoretical Blasius solution at
$x/D=0$
for
$Re = 500$
. (b,c) Contours of the ratio of grid size to Kolmogorov length scale (
$\varDelta / \eta$
) at (b)
$y/D=G+0.5$
and (c)
$z/D = 0$
for
$G/D = 0.3$
at
$Re = 500$
.

Figure 17. Long description
Panel A: A line graph compares the computed wall boundary layer velocity profile without the sphere to the theoretical Blasius solution. The x-axis is labeled with the variable η, which is defined as y multiplied by the square root of U∞ over νx, ranging from 0 to 8. The y-axis is labeled U/U∞, ranging from 0 to 1.2. The graph includes two data series: one represented by squares labeled ‘Blasius solution’ and another by a dashed line labeled ‘Present result’. Both data series show a similar trend, increasing and then leveling off as η increases. Panel B: A contour plot shows the ratio of grid size to Kolmogorov length scale (Δ/η) in the z-x plane. The x-axis is labeled x/D, ranging from 0 to 10, and the z-axis is labeled z/D, ranging from -2 to 2. The color scale on the right indicates the ratio values, with blue representing lower values and red representing higher values. The plot shows a sphere on the left side and a wake pattern extending to the right. Panel C: Another contour plot shows the ratio of grid size to Kolmogorov length scale (Δ/η) in the y-x plane. The x-axis is labeled x/D, ranging from 0 to 10, and the y-axis is labeled y/D, ranging from 0 to 3. The color scale on the right indicates the ratio values, similar to Panel B. This plot also shows a sphere on the left side and a wake pattern extending to the right.
Appendix B. Statistical convergence validation and flow periodicity
The convergence is evaluated using the energy fractions of the first four POD modes. In the present study, the POD analysis is performed over the near-wake region
$-0.5 \leqslant x/D \leqslant 15$
,
$0 \leqslant y/D \leqslant 5$
and
$-2.5 \leqslant z/D \leqslant 2.5$
. As shown in figure 18, the POD analysis is repeated using different numbers of snapshots, from
$N_{s} = 10$
to
$N_{s}=1800$
, with sampling interval 0.1 s. For
$G/D=0.8$
, the energy fractions of the first four modes become nearly invariant when
$N_{s}$
exceeds approximately 1500. For
$G/D = 0.5$
and 0.3, reasonable convergence is observed for
$N_{s} \geqslant 1200$
. Further increasing the number of snapshots changes the leading modal energy fractions by less than approximately
$2\,\%$
.
Statistical convergence of the POD analysis for different sample sizes at
$Re=500$
: (a)
$G/D=0.8$
, (b)
$G/D=0.5$
, (c)
$G/D=0.3$
.

Phase portraits of the normalised temporal coefficients of the first six POD modes at
$Re=500$
: (a)
$G/D=0.8$
, (b)
$G/D=0.5$
, (c)
$G/D=0.3$
. For each gap ratio, the phase portraits are shown for the mode pairs
$(a_1(t)/\sqrt {2\lambda _1}, a_2(t)/\sqrt {2\lambda _2})$
and together with the cross-comparisons
$(a_1(t)/\sqrt {2\lambda _1}, a_3(t)/\sqrt {2\lambda _3})$
and
$(a_1(t)/\sqrt {2\lambda _1}, a_5(t)/\sqrt {2\lambda _5})$
. The red solid circle denotes the theoretical trajectory with a unit radius.

Figure 19. Long description
Panel A: Three scatter plots and line graphs show the phase portraits for the mode pairs at G/D = 0.8. The axes are labeled a1/sqrt(2λ1) and a2/sqrt(2λ2), a1/sqrt(2λ1) and a3/sqrt(2λ3), and a1/sqrt(2λ1) and a5/sqrt(2λ5). The red solid circle denotes the theoretical trajectory with a unit radius. Panel B: Three scatter plots and line graphs show the phase portraits for the mode pairs at G/D = 0.5. The axes are labeled a1/sqrt(2λ1) and a2/sqrt(2λ2), a1/sqrt(2λ1) and a3/sqrt(2λ3), and a1/sqrt(2λ1) and a5/sqrt(2λ5). The red solid circle denotes the theoretical trajectory with a unit radius. Panel C: Three scatter plots and line graphs show the phase portraits for the mode pairs at G/D = 0.3. The axes are labeled a1/sqrt(2λ1) and a2/sqrt(2λ2), a1/sqrt(2λ1) and a3/sqrt(2λ3), and a1/sqrt(2λ1) and a5/sqrt(2λ5). The red solid circle denotes the theoretical trajectory with a unit radius.
Previous studies have shown that paired POD temporal coefficients can characterise the phase relationship of dominant oscillatory wake structures (van Oudheusden et al. Reference van Oudheusden, Scarano, Hinsberg and Watt2005; Li et al. Reference Li, He, Wang and Liu2021). For an ideal harmonic pair,
$a_1=\sqrt {2\lambda _1}\sin (\varphi )$
and
$a_2=\sqrt {2\lambda _2}\cos (\varphi )$
, so the normalised trajectory
$(a_1/\sqrt {2\lambda _1}, a_2/\sqrt {2\lambda _2})$
approaches a unit circle when the two modes form a coherent oscillatory pair. The corresponding radius is defined as
$ r^2={a_1^2}/({2\lambda _1})+{a_2^2}/({2\lambda _2})$
.
Figure 19 presents the phase portraits of the first six POD modal coefficients at
$Re=500$
. At
$G/D=0.8$
, the primary mode pair remains elliptical but scattered, and the cross-modal trajectories are broad and non-closed, indicating strong amplitude and phase modulation. At
$G/D=0.5$
, the primary pair becomes more coherent, although the cross-modal trajectories remain non-closed. At
$G/D=0.3$
, the primary pair approaches a circular trajectory, while the organised multi-loop
$(a_1,a_3)$
portrait, together with the approximately
$1:2$
frequency ratio in figure 8, identifies modes 3–4 as the phase-coupled second harmonic. By contrast, the broad and non-closed
$(a_1,a_5)$
portrait indicates that
$St_2$
represents a low-frequency modulation rather than a classical drift mode.
Appendix C. Budgets of vorticity transport
The phase-averaged vorticity transport budgets are computed over 30 cycles of the primary shedding frequency
$St_1$
. Each net residual,
$\sum T_{z\Rightarrow x}^{*}$
or
$\sum T_{z\Rightarrow y}^{*}$
, is obtained by adding two larger, oppositely signed contributions from the
$+z$
and
$-z$
sides. Its convergence is therefore examined by repeating the complete calculation using 20, 30 and 40
$St_1$
cycles. The phase definition, vortex-core identification, integration method and normalisation are kept unchanged. For
$G/D=0.8$
and 0.5, figures 20(ai–di) show that the signs of all residuals outside the near-zero range remain unchanged for the three
$nT = 20, 30, 40$
. The regime-dependent sign reversal is also retained. For
$G/D=0.3$
, both net tilting residuals remain within the near-zero range in figures 20(ei,fi). Notably, the 30- and 40-cycle results show close agreement. Therefore, a 30-cycle phase average is sufficient to determine the sign and regime dependence of the net residuals (
$\sum T_{z\Rightarrow x}^{*}$
and
$\sum T_{z\Rightarrow y}^{*}$
).
Convergence and vortex-core-boundary tests for the phase-resolved, vortex-core-region-integrated tilting terms. Plots (ai,bi), (ci,di) and (ei,fi) compare phase averages based on 20, 30 and 40
$St_1$
cycles for
$G/D=0.8$
, 0.5 and 0.3, respectively. Plots (aii,bii), (cii,dii) and (eii,fii) compare the thresholds
$Q\gt 0.10Q_{rms}$
,
$Q\gt 0.25Q_{rms}$
and
$Q\gt 0.50Q_{rms}$
for the same gap ratios. Plots (ai,ci,ei, aii,cii,eii) show the
$\textrm{UHV}$
at
$\theta =\pi /3$
. Plots (bi,di,fi, bii,dii,fii) show the corresponding near-wall structures at
$\theta =4\pi /3$
. The
$+z$
and
$-z$
side contributions to
$T_{z\Rightarrow x}^{*}$
and
$T_{z\Rightarrow y}^{*}$
and their sums are shown.

Additionally, the vortex-core integration region is identified independently in each instantaneous field. The search domain is
$ x/D\times y/D\times z/D = [0,5]\times [0,5]\times [-2.5,2.5]$
, which is divided into the two 3-D search regions
$\varOmega _s^+ =\{0\leqslant x/D\leqslant 5, 0\leqslant z/D\leqslant 2.5\}$
and
$\varOmega _s^- = \{0\leqslant x/D\leqslant 5,\;-2.5\leqslant z/D\leqslant 0\}$
. In each search region, the vortex-core centre is taken as the local
$Q_{max}$
satisfying the prescribed signs of
$\omega _x$
and
$\omega _y$
. The vortex-core integration region is then defined as the 3-D connected component that contains this
$Q_{max }$
point and satisfies
$Q(x,y,z,t) \gt \alpha\, Q_{rms}(x,y,z)$
(Zhang et al. Reference Zhang, Xia, Qiu, Dong and Liu2023). If several disconnected components satisfy these conditions, then only the component containing the identified
$Q_{max }$
is retained. The prescribed vorticity–sign combinations are the same as those given in § 4.2. At each selected wall-normal position, the identified 3-D connected component is intersected with the corresponding
$x$
–
$z$
plane, and the local tilting terms are integrated over the resulting cross-sectional area before phase averaging. The integration region has no prescribed rectangular boundary or fixed radius. Its instantaneous extent is determined by the selected
$Q$
threshold, the vorticity–sign conditions, and connectivity to the identified
$Q_{max}$
point. The main calculation uses
$\alpha =0.25$
in the present study. The same procedure is repeated using
$\alpha =0.1$
and
$0.5$
. The lower threshold retains a larger portion of the outer vortex region, whereas a higher threshold restricts the integration to a smaller region around
$Q_{max }$
. Changing
$\alpha$
modifies the integrated magnitudes but does not change the sign of any residual outside the near-zero range, in figures 20(aii–fii). The sign reversal between
$G/D=0.8$
and
$G/D=0.5 $
is recovered for all three thresholds (
$\alpha =0.1, 0.25, 0.5$
).
The original 30
$St_1$
cycle record is also divided into the first and last 15
$St_1$
cycles, denoted by
$nT_1=15$
and
$nT_2=15$
, respectively. Since
$St_2$
is not an integer multiple of
$St_1$
, the two subsets sample different portions of the changing
$St_1-St_2$
relative phase. The budget terms are recalculated for each subset. The shorter averages produce larger magnitude variations where the
$+z$
and
$-z$
side contributions nearly cancel. Nevertheless, every residual outside the near-zero range retains the same sign as that obtained from the full 30-cycle average. Both subsets also reproduce the sign reversal of
$\sum T_{z\Rightarrow x}^{*}$
and
$\sum T_{z\Rightarrow y}^{*}$
between
$G/D=0.8$
and
$G/D=0.5 $
, in figures 21(ai–di, aii–dii). At
$G/D=0.3$
, the corresponding residuals remain within the near-zero range, in figures 21(ei,fi, eii,fii). Thus the identified sign reversal is independent of the selected 15-cycle subset, and finite sampling of the
$St_1-St_2$
relative phase does not produce a resolved residual in the symmetric regime.
Sensitivity of the phase-resolved tilting terms to the averaging interval. Results obtained from the first 15 (
$nT_1$
) and last 15 (
$nT_2$
)
$St_1$
cycles are compared with the full 30-cycle average. Plots (ai,bi, aii,bii) correspond to
$G/D=0.8$
, (ci,di, cii,dii) correspond to
$G/D=0.5$
, and (ei,fi, eii,fii) correspond to
$G/D=0.3$
. Plots (ai,bi, ci,di, ei,fi) show the
$\textrm{UHV}$
at
$\theta =\pi /3$
. Plots (aii,bii, cii,dii, eii,fii) show the
$\textrm{LHV}$
,
$LV-WSV$
and
$LV+WSV$
respectively, at
$\theta =4\pi /3$
. The
$+z$
and
$-z$
side contributions to
$T_{z\Rightarrow x}^{*}$
and
$T_{z\Rightarrow y}^{*}$
and their sums are compared.

Figure 21. Long description
Panel (ai): Line graph showing tilting for G/D = 0.8, UHV. The x-axis is labeled y/D ranging from 1.6 to 2.2, and the y-axis is labeled Tilting ranging from -0.8 to 0.8. Panel (bi): Line graph showing tilting for G/D = 0.8, UHV. The x-axis is labeled y/D ranging from 1.6 to 2.2, and the y-axis is labeled Tilting ranging from -0.4 to 0.4. Panel (cii): Line graph showing tilting for G/D = 0.5, UHV. The x-axis is labeled y/D ranging from 1.3 to 1.9, and the y-axis is labeled Tilting ranging from -0.8 to 0.8. Panel (di): Line graph showing tilting for G/D = 0.5, UHV. The x-axis is labeled y/D ranging from 1.3 to 1.9, and the y-axis is labeled Tilting ranging from -0.4 to 0.4. Panel (eii): Line graph showing tilting for G/D = 0.3, UHV. The x-axis is labeled y/D ranging from 1.2 to 1.8, and the y-axis is labeled Tilting ranging from -0.8 to 0.8. Panel (fii): Line graph showing tilting for G/D = 0.3, UHV. The x-axis is labeled y/D ranging from 1.2 to 1.8, and the y-axis is labeled Tilting ranging from -0.4 to 0.4. Panel (aii): Line graph showing tilting for G/D = 0.8, LHV. The x-axis is labeled y/D ranging from 0.1 to 1.1, and the y-axis is labeled Tilting ranging from -0.8 to 0.8. Panel (bii): Line graph showing tilting for G/D = 0.8, LHV. The x-axis is labeled y/D ranging from 0.1 to 1.1, and the y-axis is labeled Tilting ranging from -0.2 to 0.2. Panel (cii): Line graph showing tilting for G/D = 0.5, LV - WSV. The x-axis is labeled y/D ranging from 0.2 to 1.0, and the y-axis is labeled Tilting ranging from -0.4 to 0.4. Panel (dii): Line graph showing tilting for G/D = 0.5, LV - WSV. The x-axis is labeled y/D ranging from 0.2 to 1.0, and the y-axis is labeled Tilting ranging from -0.2 to 0.2. Panel (eii): Line graph showing tilting for G/D = 0.3, LV + WSV. The x-axis is labeled y/D ranging from 0.2 to 0.8, and the y-axis is labeled Tilting ranging from -0.4 to 0.4. Panel (fii): Line graph showing tilting for G/D = 0.3, LV + WSV. The x-axis is labeled y/D ranging from 0.2 to 0.8, and the y-axis is labeled Tilting ranging from -0.2 to 0.2.
The normalised residual is defined as
and
$Y(\theta )$
denotes the selected wall-normal interval at phase
$\theta$
. The normalisation is evaluated separately for each phase, budget term, vortex structure and flow condition. For
$G/D=0.3$
, the normalised residuals obtained using two cycles (
$nT=30, 40$
) and two vortex-core thresholds (
$\alpha =0.1, 0.25$
), in figures 22(d–f), remain in
$|I_M| \lesssim 5\times 10^{-3}$
. This value is adopted as the operational near-zero range for the present calculations. No physical meaning is assigned to the sign of a residual in this range. A positive or negative residual is retained only when the unnormalised residual and the two side contributions remain appreciable and its sign is unchanged in both the cycle numbers and
$Q$
-threshold tests. Under these conditions, the residuals at
$G/D=0.8$
and
$0.5$
remain outside the near-zero range and retain opposite signs.
In figure 23, the resulting vorticity field shows
$\omega _{x}^{*}$
net residual. While
$\omega _{x}^{*} \gt 0$
below
$y/D \approx 2.05$
on the
$+z$
side, the
$-z$
side exhibits significantly larger magnitudes, with intensity increasing towards the wall. This points to a structurally dominant
$\textrm{UHV}$
leg on the
$-z$
side. On the
$+z$
side (
$1.7 \lesssim y/D \lesssim 2.05$
), the positive wall-normal convection (
$C_{xy}^{*} \gt 0$
) and stretching (
$S_x^{*} \gt 0$
) confirm the downward advection of
$\omega _x^*$
, aligned with the ‘top-down’ formation mechanism in wall-mounted hemisphere wakes (Tu et al. Reference van Hout, Eisma, Elsinga and Westerweel2023, Reference van Oudheusden, Scarano, Hinsberg and Watt2024).
Normalised residuals
$I_M$
for
$M=T_{z\Rightarrow x}^{*}$
and
$T_{z\Rightarrow y}^{*}$
at
$Re=500$
and 600. Here, (a,d), (b,e) and (c,f) correspond to
$G/D=0.8$
, 0.5 and 0.3, respectively. The upper- and near-wall-vortex intervals are shown in each panel. The yellow band denotes the operational near-zero range
$|I_M|\leqslant 5\times 10^{-3}$
. Residuals within this range are treated as near zero, and their signs are not interpreted.

The contributions of terms in the streamwise vorticity transport equation of the
$\textrm{UHV}$
at
$G/D=0.8$
.







G/D
(Re,G/D)=(500,0.3)
x−y
CD¯
CL¯=CY2+CZ2¯
St1
Re=500
Ntotal
Ncell
Ly/D
Re=500
Ly/D=10,20
CD
CY
CZ
Lz/D
Δt
(Re,G/D)=(500,0.3)
Lz=5πD/3
Lz=10πD/3
Δt
Lz=5πD/3
St1
G/D=0.3
Re=500,600
z/D=0
G/D=0.3
Re=500,600
U/U0
U
Lw,a
Re=500
G/D
Q∗=QD2/U∞2=2.5×10−3
u∗=u¯/U∞
G/D=0.8,0.5
G/D=0.3
G/D=0.1
x/D=3.5
G/D
u∗¯=u¯/U∞
p∗¯=p¯/0.5ρU∞2
ωx∗¯=ω¯xD/U∞
x/D=2.0,5.0
z/D=0
(Re,G/D)=(420−600,0.1−1.5)
Skeww
y=G+D/2
z/D=0
SkewCZ
G/D
CZ¯
CZ,rms′
G/D
ei∗
∑1iej∗
100
Re=500
Re=500
G/D=0.8
G/D=0.5
G/D=0.3
St1
St1+St2
G/D=0.8,0.5
St1
St1+2St1
St1+2St1+St2
G/D=0.3
St1
St2
Re=500
Q∗=0.0025
u∗
(v∗,w∗)
y−z
x/D=2.7,3.05,3.5
x/D=2.5,2.85,3.25
G/D=0.8
G/D=0.5
G/D=0.3
UHV
Re=500
ωx∗
ωy∗
θ=π/3
∑Tz⇒x∗
∑Tz⇒y∗
θ=0,π/3,2π/3
v∗
∑w∗
UHV
θ=0,π/3,2π/3
G/D
y/D
x
z
+z
−z
∑
ωx∗
ωy∗
Sx∗,Sy∗
Cxy∗,Cyy∗
Tz⇒x∗
Tz⇒y∗
G/D=0.8
G/D=0.5
G/D=0.3
Re=500
LHV
G/D=0.8
LV−WSV
G/D=0.5
LV+WSV
G/D=0.3
ωx∗
ωy∗
θ=4π/3
∑Tz⇒x∗
∑Tz⇒y∗
θ=π,4π/3,5π/3
v∗
∑w∗
θ=π,4π/3,5π/3
G/D
y/D
x
z
y/D
+z
−z
∑
ωx∗
ωy∗
Sx∗,Sy∗
Cxy∗,Cyy∗
Tz⇒x∗
Tz⇒y∗
G/D=0.8
G/D=0.5
G/D=0.3
∂u∗/∂z∗
∂v∗/∂z∗
Re=500
UHV
θ=0
π/3
2π/3
LHV
LV
WSV
θ=π,4π/3,5π/3
θ
y/D
x
z
θ=π/3
4π/3
+z
−z
∑
G/D=0.8
G/D=0.5
G/D=0.3
G/D
−∂2p∗¯/∂x∗∂z∗
y−z
x/D=2.5,2.85,3.35
−∂u′v′¯∗/∂y∗
z/D=0
τuw∗¯=−u′w′¯∗=−u′w′¯/U∞2
z/D=0
Re=500
G/D=0.8,0.5,0.3
Sz∗¯=ωz∗¯∂w∗/∂z∗¯
Re=500
G/D
ωz∗=−0.75,−0.15
ωz∗=+0.75,+0.15
x/D=3.5
G/D=0.8
x/D=3.5
G/D=0.5
x/D=3.5
G/D=0.3
x/D=6.5
G/D=0.1
Tx⇒z∗¯+Ty⇒z∗¯
Re=500
G/D
ωz∗=−0.75,−0.15
ωz∗=+0.75,+0.15
x/D=3.5
G/D=0.8
x/D=3.5
G/D=0.5
x/D=3.5
G/D=0.3
x/D=6.5
G/D=0.1
Sz∗¯
Tx⇒z∗¯+Ty⇒z∗¯
G/D=0.8,0.5,0.3,0.1
Sz∗¯
Tx⇒z∗¯+Ty⇒z∗¯
Re=420,500,600
x/D=0
Re=500
Δ/η
y/D=G+0.5
z/D=0
G/D=0.3
Re=500
Re=500
G/D=0.8
G/D=0.5
G/D=0.3
Re=500
G/D=0.8
G/D=0.5
G/D=0.3
(a1(t)/2λ1,a2(t)/2λ2)
(a1(t)/2λ1,a3(t)/2λ3)
(a1(t)/2λ1,a5(t)/2λ5)
St1
G/D=0.8
Q>0.10Qrms
Q>0.25Qrms
Q>0.50Qrms
UHV
θ=π/3
θ=4π/3
+z
−z
Tz⇒x∗
Tz⇒y∗
nT1
nT2
St1
G/D=0.8
G/D=0.5
G/D=0.3
UHV
θ=π/3
LHV
LV−WSV
LV+WSV
θ=4π/3
+z
−z
Tz⇒x∗
Tz⇒y∗
IM
M=Tz⇒x∗
Tz⇒y∗
Re=500
G/D=0.8
|IM|⩽5×10−3
UHV
G/D=0.8