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Towards a finite-time singularity of the Navier–Stokes equations. Part 3. Maximal vorticity amplification

Published online by Cambridge University Press:  12 July 2023

H.K. Moffatt*
Affiliation:
Department of Applied Mathematics and Theoretical Physics, Wilberforce Road, Cambridge CB3 0WA, UK
Yoshifumi Kimura
Affiliation:
Graduate School of Mathematics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8602, Japan
*
Email address for correspondence: hkm2@damtp.cam.ac.uk

Abstract

An exact analytical solution is obtained for the dynamical system derived in Part 1 of this series (Moffatt & Kimura, J. Fluid Mech, vol. 861, 2019a, pp. 930–967), which describes the approach of two initially circular vortices of finite but small cross-section symmetrically located on inclined planes. This exact solution, applicable in the inviscid limit, allows determination of the amplification $\mathcal {A}_{\omega }$ of the axial vorticity within the finite time $T$ during which the basic assumptions of the model continue to apply. It is first shown that, for arbitrarily prescribed $\mathcal {A}_{\omega }$, it is possible to specify smooth initial conditions of finite energy such that, in the inviscid limit, this amplification is achieved within the time $T$. When viscosity is included, an estimate is provided for the minimum vortex Reynolds number that is sufficient for the same result to hold. The predictions are broadly compatible with results from direct numerical simulations at moderate Reynolds numbers. Moreover, it is shown that one may come arbitrarily close to a finite-time singularity of the Navier–Stokes equation by appropriate choice of an initial, smooth, finite-energy velocity field; however, this approach to a singularity is ultimately thwarted through breach of the assumptions on which the dynamical system is based. Thus we make no claim here concerning realisation of a Navier–Stokes singularity. Moreover, we find that the conditions required to attain a large amplification $\mathcal {A}_{\omega }\gg 1$ during the time $T$ are far beyond those that can be realised in either experiment or direct numerical simulation.

Information

Type
JFM Rapids
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press.
Figure 0

Figure 1. (a) Sketch of the initial vortex tube configuration. (b) Vorticity profiles represented as the sum of Gaussians $\omega /\omega _{0}=\exp [-(x-s)^{2}/4\delta ^2]- \exp [-(x+s)^{2}/4\delta ^2]$ for fixed $\delta \ (=1)$ and $s/\delta =7$ (black), $5$ (blue), $3$ (green) and $1$ (red). For $s/\delta \gtrsim 5$ the vortices are essentially non-overlapping, but, as $s/\delta$ decreases below $5$, the overlap becomes increasingly significant.

Figure 1

Figure 2. (a) Plot of $\sigma /\lambda z\ (= s/\delta )$ versus $\lambda$ in the range $0\le \lambda \le 0.5$ for $z=10^{-5}$ (blue), $10^{-10}$ (red), $10^{-25}$ (green) and $10^{-50}$ (purple). The horizontal line at the level $k_{1}=5$ separates phase I (unshaded, above) from phase II (shaded, below), and intersects the curves at $\lambda =\lambda _{m}(z)$ for each $z$ (as marked by the vertical dashed lines). Note the very slow decrease of $\lambda _{m}(z)$ with decreasing $z$. All these curves asymptote to 1.060 as $\lambda \rightarrow 0$. (b) The same with corresponding dashed curves of $(s_{0}\kappa \sigma )^{-1}\ [=(s\kappa )^{-1}]$ superposed (with $s_{0}=0.02$ and $\alpha ={\rm \pi} /4$). These dashed curves are scaled by the factor $k_{1}/k_{2}=5/3.89\approx 1.29$, bringing them into approximate coincidence with the solid curves at the level 5. This shows that, when $k_{1}=5$, both inequalities (1.4) and (1.5) are simultaneously satisfied with the choice $k_{2}= 3.89$. The dashed curves asymptote to $1.29/\sqrt {2}\approx 0.912$ as $\lambda \rightarrow 0$.

Figure 2

Figure 3. (a) Plot of $k_{1}(\lambda _{m},z)$ (solid) and $k_{2}(\lambda _{m},z)$ (dashed) for $\alpha ={\rm \pi} /4$ and $z=10^{-5}$ (blue), $10^{-10}$ (red), $10^{-25}$ (green) and $10^{-50}$ (purple). The dotted line is at the level 3.08 where the curves cross. (b) Plot of the asymptotic function $k_{2}(k_{1})$ for $s_{0}=0.02$, $\alpha ={\rm \pi} /4$, in the range $3\le k_{1}\le 10$.

Figure 3

Figure 4. The function $\lambda (\tau )$ obtained by numerical integration of (4.1) with initial condition $\lambda (0)=1$; $\alpha ={\rm \pi} /4,\ s_{0}=0.02$ and $z= 10^{-5}$ (blue), $10^{-8}$ (red) and $10^{-11}$ (purple). The vertical dashed lines indicate the ‘singularity time’ $\tau _{c}(z)$ in each case. The horizontal dotted lines indicate the corresponding levels $\lambda =\lambda _{m}(z)$, as given by (2.10) with $k_{1}=5$, below which the conditions of the model lose validity.

Figure 4

Figure 5. Effect of viscosity for $\alpha ={\rm \pi} /4,\ s_{0}=0.02$ and $z= 10^{-5}$. (a) The function $\lambda (\tau )$ obtained by numerical integration of the full dynamical system (1.1ac) for $\epsilon = 0$ (blue), $\epsilon =\epsilon _{c}$ (red), almost indistinguishable from the blue curve, $\epsilon =50 \epsilon _{c}$ (green), $\epsilon =100 \epsilon _{c}$ (purple) and $\epsilon =200 \epsilon _{c}$ (black), where $\epsilon _{c}$ is given by (5.3). In the last three cases, although $\lambda$ increases initially, it ultimately falls to zero at a ‘singularity time’ $\tau _{c}(\epsilon )$ just a little greater than that found for $\epsilon =0$. (b) Evolution of $\lambda (\tau )$ (blue) and $z \lambda (\tau )/\sigma (\tau )$ (red) very near to $\tau _{c}$ for the case $\epsilon =0$; the red curve crosses the level $1/5=0.2$ at $\tau =\tau _{m}$, and $\lambda (\tau _{m})=\lambda _{m}$. The model is valid only for $\tau <\tau _{m}$ (phase I). (c) The same for $\epsilon =4\epsilon _{c}$, for which the value of $\lambda _{m}$ is only slightly increased. (d) The same for $\epsilon =100\epsilon _{c}$, for which the increase in $\lambda _{m}$ (and corresponding decrease in $\mathcal {A}_{\omega })$ is now substantial.

Figure 5

Figure 6. As for figure 5, with $s_{0}=0.1,\ z=0.1$, as in Yao & Hussain (2020). (a) Result for $\epsilon =\epsilon _{c}\approx 5.627\times 10^{-5}\ (R_{\varGamma }\approx 17\,770)$: when $k_{1}=5,\ \lambda _{m}=0.832\ (\mathcal {A}_{\omega }\approx 1.44)$; if $k_{1}$ is reduced to 4, $\lambda _{m}$ decreases to 0.772, so $\mathcal {A}_{\omega }$ increases to ${\approx }1.68$. (b) Result for $\epsilon =2.5 \times 10^{-4}\ (R_{\varGamma }=4000)$: when $k_{1}=5$, $\lambda _{m}=1.082$ ($\mathcal {A}_{\omega }\approx 0.85$); if $k_{1}$ is reduced to 2, $\lambda _{m}$ decreases to 0.780, so $\mathcal {A}_{\omega }$ increases to ${\approx }1.64$.