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Onset of absolutely unstable behaviour in the Stokes layer: a Floquet approach to the Briggs method

Published online by Cambridge University Press:  06 October 2021

Alexander Pretty
Affiliation:
School of Mathematics, Cardiff University, Cardiff CF24 4AG, UK
Christopher Davies
Affiliation:
School of Engineering, University of Leicester, University Road, Leicester LE1 7RH, UK
Christian Thomas*
Affiliation:
Department of Mathematics and Statistics, Macquarie University, New South Wales 2109, Australia
*
†Email address for correspondence: christian.thomas@mq.edu.au

Abstract

For steady flows, the Briggs (Electron-Stream Interaction with Plasmas. MIT Press, 1964) method is a well-established approach for classifying disturbances as either convectively or absolutely unstable. Here, the framework of the Briggs method is adapted to temporally periodic flows, with Floquet theory utilised to account for the time periodicity of the Stokes layer. As a consequence of the antiperiodicity of the flow, symmetry constraints are established that are used to describe the pointwise evolution of the disturbance, with the behaviour governed by harmonic and subharmonics modes. On coupling the symmetry constraints with a cusp-map analysis, multiple harmonic and subharmonic cusps are found for each Reynolds number of the flow. Therefore, linear disturbances experience subharmonic growth about fixed spatial locations. Moreover, the growth rate associated with the pointwise development of the disturbance matches the growth rate of the disturbance maximum. Thus, the onset of the Floquet instability (Blennerhassett & Bassom, J. Fluid Mech., vol. 464, 2002, pp. 393–410) coincides with the onset of absolutely unstable behaviour. Stability characteristics are consistent with the spatio-temporal disturbance development of the family-tree structure that has hitherto only been observed numerically via simulations of the linearised Navier–Stokes equations (Thomas et al., J. Fluid Mech., vol. 752, 2014, pp. 543–571; Ramage et al., Phys. Rev. Fluids, vol. 5, 2020, 103901).

Information

Type
JFM Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1.Reproduction of figure 3 from Ramage et al. (2020). Spatio-temporal contour plot of the linear disturbance in the Stokes layer with ${Re} = 750$. Contours are based on the logarithm of the absolute value of the wall vorticity perturbation.

Figure 1

Figure 2.Sketches illustrating the initial set-up for Briggs’ method. (a) Complex $\alpha$-plane. (b) Complex $\mu$-plane.

Figure 2

Figure 3.Sketches illustrating the pinching of the $F$ contour in the complex $\alpha$-plane as the contour $L$ is shifted horizontally to the left in the complex $\mu$-plane. Arrows indicate the behaviour brought about by the horizontal movement of a fixed Floquet exponent $\mu$, dashed lines indicate the original contours and pole loci (as per figure 2), while solid curves demonstrate the deformations due to the leftward movement of the $L$ contour; (a,b) $\mu$ is reduced until one $\alpha$-root crosses the real $\alpha$-axis, (c,d) $\mu =\mu _0$ corresponds to a collision of poles at $\alpha _0$.

Figure 3

Figure 4.Sketches illustrating the pinching of the $F$ contour along the real $\alpha$-axis, when $\mu = \mu _r + i/2$. (a) Complex $\alpha$-plane. (b) Complex $\mu$-plane. For the horizontal line extending from the $L$ contour to the $\mu (F)$ curve, there is a matching symmetric movement of the $\alpha$-roots that form collisions along the real $\alpha$-axis about $\pm \alpha _0$.

Figure 4

Figure 5.Floquet exponents $\mu$ in the complex $\mu$-plane for the Reynolds number ${Re}=750$ and wavenumbers (a) $\alpha =0.25$, (b) $\alpha =0.35$ and (c) $\alpha =0.3747$. Solid blue circles are matched to the Stokes mode, while open red circles are matched to centre modes.

Figure 5

Figure 6.Neutral curve for linear instability in the $(\alpha ,{Re})$-plane. (a) Large $\alpha$-domain. (b) Reduced $\alpha$-domain about the critical conditions for instability.

Figure 6

Figure 7.Variation of the real and imaginary parts of the Floquet exponent $\mu$ as a function of the wavenumber $\alpha$ in a region that $\mu _i=0$. Here the Reynolds number ${Re}=708$; solid and dashed lines depict the real $\mu _r$ and imaginary $\mu _i$ components.

Figure 7

Figure 8.Floquet growth rate $\mu _r$ as a function of the real wavenumber $\alpha$ for (a) ${Re} = 700$ and (b) ${Re} = 750$. The largest growth rate that satisfies (4.22) is indicated by red cross markers; $(\alpha ,\mu _r) = (0.3727,-0.0374)$ for ${Re}=700$ and $(\alpha ,\mu _r) = (0.3747,0.2009)$ for ${Re}=750$.

Figure 8

Table 1.Floquet growth rate $\mu _r$ for the least-stable mode with $\alpha \in \mathbb {R}$ (see figure 8), compared against the DNS computations of Ramage et al. (2020).

Figure 9

Figure 9.Rectangular mesh grids in the complex $\alpha$-plane (a,c) are mapped via the dispersion relation $D(\alpha _0,\mu _0) = 0$ onto the complex $\mu$-plane (b,d), revealing cusp formations. The cusp in (b) corresponds to $\mu _i = 0$ and the tip of a finger-like protrusion (as indicated in figure 10), while the cusp in (d) corresponds to $\mu _i = 1/2$ and is located about the mid-point between two adjacent fingers.

Figure 10

Figure 10.(a) Floquet growth rate $\mu _r$ as a function of the wavenumber $\alpha \in \mathbb {R}$ for the Reynolds number ${Re} = 750$. Same as figure 8(b) but over a reduced $\alpha$-range. (b) Path of the least-stable mode in the complex $\mu$-plane, for $\alpha \in [0.374,0.379]$. (Arrows indicate the direction of increasing $\alpha$.) Red circular and yellow diamond markers indicate those locations matched to absolutely unstable harmonic and subharmonic modes, where $\mu _i=0$ and $1/2$, respectively.

Figure 11

Table 2.Real part of the wavenumber $\alpha$ (with $\alpha _i=0$) and Floquet exponents $\mu =\mu _r+\textrm {i}\mu _i$, associated with cusps for ${Re}=750$. Cusps are indicated in figure 10 by circular and diamond markers.

Figure 12

Figure 11.Contours of the real part of the disturbance streamfunction $\psi$ over one period, for the Reynolds number ${Re}=750$; (a) $\alpha =0.3731$ and $\mu =0.1976+\textrm {i}0.2500$, (b) $\alpha =0.3747$ and $\mu =0.2009$, (c) $\alpha =0.3764$ and $\mu =0.1988+\textrm {i}0.2500$ and (d) $\alpha =0.3781$ and $\mu =0.1991+\textrm {i}0.4975$. Each disturbance is normalised on its respective maximum complex-valued amplitude.

Figure 13

Table 3.Location of cusps, as determined via the faster approach, whereby all cusps are assumed to be matched to $\alpha \in \mathbb {R}$, i.e. $\alpha _i=0$. Calculations for ${Re}=750$ are in excellent agreement with results presented in table 2 that were based on the slower approach for locating cusps, i.e. wavenumbers $\alpha$ were allowed to be complex. Cusp locations are indicated by circular and diamond markers in figures 10 and 12.

Figure 14

Figure 12.Equivalent to figure 10 but for (a,b) ${Re} = 700$ and (c,d) ${Re} = 708$. Floquet growth rate $\mu _r$ as a function of the real wavenumber $\alpha$ in (a,c). Paths of the most unstable Floquet modes $\mu$ in the complex $\mu$-plane in (b,d). Arrows indicate direction of increasing $\alpha$. Red circular and yellow diamond markers indicate those locations matched to harmonic ($\mu _i=0$) and subharmonic modes ($\mu _i=1/2$), respectively.

Figure 15

Figure 13.Spatial distance $\varLambda$ between neighbouring wavepackets of the family-tree formation, as reported in Ramage et al. (2020) (circle markers), and spatial distance $2 {\rm \pi}/ {\rm \Delta} \alpha ^f$ (cross markers) determined from the wavenumber distance ${\rm \Delta} \alpha ^f$ between finger-like protrusions along the real wavenumber $\alpha$-axis.