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Nonlinear hydroelastic waves on a linear shear current at finite depth

Published online by Cambridge University Press:  31 July 2019

T. Gao
Affiliation:
Department of Mathematical Sciences, University of Bath, Bath BA2 7AY, UK
Z. Wang*
Affiliation:
Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049, China
P. A. Milewski
Affiliation:
Department of Mathematical Sciences, University of Bath, Bath BA2 7AY, UK
*
†Email address for correspondence: zwang@imech.ac.cn

Abstract

This work is concerned with waves propagating on water of finite depth with a constant-vorticity current under a deformable flexible sheet. The pressure exerted by the sheet is modelled by using the Cosserat thin shell theory. By means of multi-scale analysis, small amplitude nonlinear modulation equations in several regimes are considered, including the nonlinear Schrödinger equation (NLS) which is used to predict the existence of small-amplitude wavepacket solitary waves in the full Euler equations and to study the modulational instability of quasi-monochromatic wavetrains. Guided by these weakly nonlinear results, fully nonlinear steady and time-dependent computations are performed by employing a conformal mapping technique. Bifurcation mechanisms and typical profiles of solitary waves for different underlying shear currents are presented in detail. It is shown that even when small-amplitude solitary waves are not predicted by the weakly nonlinear theory, we can numerically find large-amplitude solitary waves in the fully nonlinear equations. Time-dependent simulations are carried out to confirm the modulational stability results and illustrate possible outcomes of the nonlinear evolution in unstable cases.

Information

Type
JFM Papers
Copyright
© 2019 Cambridge University Press 
Figure 0

Figure 1. Schematic of the relevant problems.

Figure 1

Figure 2. Schematic description of the present problem.

Figure 2

Figure 3. Graph of $\unicode[STIX]{x1D706}$ and $\tilde{\unicode[STIX]{x1D707}}$ versus $k$ with $\unicode[STIX]{x1D6FA}_{0}=0.1$ for $h=10$. The locations where $\unicode[STIX]{x1D6FE}=0$ or $\unicode[STIX]{x1D706}=0$ are marked as circles. The regime is modulational stable for $k\in (0,k_{1})\cup (k^{\ast },k^{\dagger })\cup (k^{\ddagger },k_{2})$ as shown in bold and unstable for $k\in (k_{1},k^{\ast })\cup (k^{\dagger },k^{\ddagger })\cup (k_{2},\infty )$.

Figure 3

Figure 4. Same as figure 3 for $h=500$. The regime is modulational stable for $(k^{\ast },k^{\dagger })\cup (k_{3},k_{4})$ as shown in bold and unstable for $k\in (0,k^{\ast })\cup (k^{\dagger },k_{3})\cup (k_{4},\infty )$.

Figure 4

Figure 5. Modulational instability diagrams for hydroelastic waves with no vorticity for $30 (a) and $h<30$ (b). The stable regions are in white and the unstable are in grey. The thick black curve represents the wavenumbers corresponding to the phase speed minimum at which wavepacket solitary waves bifurcate. The pentagram with the coordinate $(0.7598,233)$ on the thick black curve indicates the location of a stability exchange.

Figure 5

Figure 6. Modulational instability diagram for hydroelastic waves when $h<30$ with (a) $\unicode[STIX]{x1D6FA}_{0}=-1$, (b) $\unicode[STIX]{x1D6FA}_{0}=-0.1$, (c) $\unicode[STIX]{x1D6FA}_{0}=0.1$ and (d) $\unicode[STIX]{x1D6FA}_{0}=0.35$. The stable regions are in white and the unstable are in grey. The thick black curves represent the wavenumbers corresponding to the phase speed minimum at which wavepacket solitary waves bifurcate. Stability exchanges take place at $(0.785,19.17)$ in (b) and at $(0.8473,9.544)$ in (d).

Figure 6

Figure 7. Modulational instability diagrams for hydroelastic waves when $30 with (e) $\unicode[STIX]{x1D6FA}_{0}=-1$, (f) $\unicode[STIX]{x1D6FA}_{0}=-0.1$, (g) $\unicode[STIX]{x1D6FA}_{0}=0.1$. The stable regions are in white and the unstable are in grey. The thick black curves represent the wavenumbers corresponding to the phase speed minimum at which wavepacket solitary waves bifurcate.

Figure 7

Figure 8. Curve $h=h_{c}$ versus $\unicode[STIX]{x1D6FA}_{0}$.

Figure 8

Table 1. The values of the coefficients in the vor-NLS, the minimum phase speeds and the associated wavenumber for different $\unicode[STIX]{x1D6FA}_{0}$.

Figure 9

Figure 9. Local bifurcation diagrams of hydroelastic solitary waves for $h=500$. The upward-pointing and downward-pointing triangles are for the elevation and depression waves respectively. The minimum phase speeds are marked as the dotted lines. (a) $\unicode[STIX]{x1D6FA}_{0}=-1$: the associated NLS is of focussing type when, and its leading-order prediction is sketched as the dot-dashed curve. (b) $\unicode[STIX]{x1D6FA}_{0}=0.1$: the associated NLS is of defocussing type, and the solitary waves bifurcate at non-zero amplitude. Typical wave profiles are presented in the physical space in both panels.

Figure 10

Figure 10. Local bifurcation diagrams of hydroelastic solitary waves for $h=10$. The upward-pointing and downward-pointing triangles are for the elevation and depression waves respectively. The minimum phase speeds are marked as the dotted lines. (a) $\unicode[STIX]{x1D6FA}_{0}=-1$: the associated NLS is of focussing type, and its leading-order prediction is sketched as the dot-dashed curve. (b) $\unicode[STIX]{x1D6FA}_{0}=0.35$: the associated NLS is of defocussing type, and the solitary waves bifurcate at non-zero amplitude. Typical wave profiles are presented in the physical space in both panels.

Figure 11

Figure 11. (a,d) Time evolution of a Stokes wave with $h=10$, $\unicode[STIX]{x1D6FA}_{0}=0.35$, $a=0.02$,$c=1.7560$, $l=12$, $L=192$ and $K=0.0327$ which is initially given a modulational perturbation. A frame of reference moving with the undisturbed wave is chosen. The snapshots are taken at $t=0$ and $60\,000$. (b,e) Fourier spectrum of the wave at $t=0$ and $60\,000$. (c) Graph of $R$ versus $t$.

Figure 12

Figure 12. Time evolution of a Stokes wave, which is initially given a modulational perturbation, with $h=10$, $\unicode[STIX]{x1D6FA}_{0}=-1$, $a=0.02$, $c=0.7694$, $l=10.85$ and $\unicode[STIX]{x1D6FD}=0$ for different values of modulational wavenumber. (a) Graph of $R$ versus $t$ for (○) $K=0.0386$ ($m=15$), (▵) $K=0.0290$ ($m=20$), (▿) $K=0.0579$ ($m=10$) and (♢) $K=0.1158$ ($m=5$) for $0\leqslant t\leqslant 2000$. (b) The snapshots of the wave profiles for $\unicode[STIX]{x1D6FD}=0$ at $t=2000$ in a large domain $[0,651]$. (c) The corresponding Fourier spectra of the waves at $t=2000$.

Figure 13

Figure 13. Same numerical experiment as in figure 12. (a) Graph of $R$ versus $t$ in a large time domain $[0,8000]$ for $K=0.0386$ ($m=15$). (b) Snapshot of the associated maximum modulation taken at $t=4080$. The initial wave profile is shown by the dotted curve.

Figure 14

Figure 14. Same numerical experiment as in figure 12 with various initial phases. (a) Graph of $R$ versus $\unicode[STIX]{x1D6FD}$ at $t=2000$ for (○) $K=0.0386$ ($m=15$), (▵) $K=0.0290$ ($m=20$), (▿) $K=0.0579$ ($m=10$) and (♢) $K=0.1158$ ($m=5$). (b) Graph of the maximum amplification $R_{max}$ versus $\unicode[STIX]{x1D6FD}$ for $K=0.0386$ ($m=15$).

Figure 15

Figure 15. (a,c) Time evolution of a Stokes wave with $h=10$, $\unicode[STIX]{x1D6FA}_{0}=0.35$, $c=2.1273$, $a=0.5$, $l=16$, $L=256$ and $K=0.0245$ which is initially given a modulational perturbation. The snapshots are taken at $t=0$ and $2250$. (b,d) Fourier spectrum of the wave at $t=0$ and $2250$.

Figure 16

Figure 16. (a,c,e) Time evolution of a Stokes wave, which is initially given a modulational perturbation, with $h=10$, $\unicode[STIX]{x1D6FA}_{0}=-1$, $a=0.2$, $c=0.7587$, $l=10.85$, $L=162.75$ and $K=0.0386$. The snapshots are taken at $t=0$, $150$ and $315$. (b,d,f) Fourier spectrum of the wave at $t=0$, $150$ and $315$.

Figure 17

Figure 17. (a,c,e) Time evolution of a Stokes wave with $h=10$, $\unicode[STIX]{x1D6FA}_{0}=-1$, $c=5.2399$, $a=0.1$, $l=2$, $\unicode[STIX]{x1D6FD}=0$, $m=16,L=32$ and $K=0.1963$ which is initially given a modulational perturbation. The snapshots are taken at $t=0$, $5.2$ and $5.8$. (b,d,f) Fourier spectrum of the wave at $t=0$, $5.2$ and $5.8$.

Figure 18

Figure 18. (a,c,e) Time evolution of a Stokes wave with $h=10$, $\unicode[STIX]{x1D6FA}_{0}=-1$, $a=0.04$, $c=0.9219$, $l=40\unicode[STIX]{x03C0}$, $\unicode[STIX]{x1D6FD}=0$, $m=16$, $L=640\unicode[STIX]{x03C0}$ and $K=0.0031$ which is initially given a modulational perturbation. The snapshots are taken at $t=0$, $36\,000$ and $150\,000$. (b,d,f) Fourier spectrum of the wave at $t=0$, $36\,000$ and $150\,000$.

Figure 19

Figure 19. (a,b) Time evolution of a Wilton solution with $h=10$, $\unicode[STIX]{x1D6FA}_{0}=0.1$, $a=0.018$, $c=1.5193$, $l=11.7322$, $L=93.8574$ and $K=0.0669$ which is initially given a modulational perturbation. The snapshots are taken at $t=0$ and $5000$. (c,d) Fourier spectrum of the wave at $t=0$ and $5000$. (b,d) Same as (a,c) for the Wilton solution but with $L=187.7148$ and $K=0.0669$.

Figure 20

Figure 20. (a,b) Time evolution of a uniform wavetrain with $h=10$, $\unicode[STIX]{x1D6FA}_{0}=0.1$, $a=0.02$, $c=1.8432$, $l=4.6124$, $L=73.7985$ and $K=0.0851$ which is initially given a modulational perturbation. The snapshots are taken at $t=0$ and $2000$. (c,d) Fourier spectrum of the wave at $t=0$ and $2000$. (b,d) Same as (a,c) for the wavetrain with $L=147.5971$ and $K=0.0426$.