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Acoustic-gravity wave triad resonance in compressible flow: a dynamical systems approach

Published online by Cambridge University Press:  16 June 2025

David Andrade
Affiliation:
School of Sciences and Engineering, Universidad del Rosario, Bogota, Colombia
Miguel D. Bustamante
Affiliation:
School of Mathematics and Statistics, University College Dublin, Belfield, Dublin 4, Ireland
Usama Kadri*
Affiliation:
School of Mathematics, Cardiff University, Cardiff, UK
Raphael Stuhlmeier
Affiliation:
School of Engineering Computing & Mathematics, University of Plymouth, Plymouth, UK
*
Corresponding author: Usama Kadri, usama.kadri@gmail.com

Abstract

The classical water-wave theory often neglects water compressibility effects, assuming acoustic and gravity waves propagate independently due to their disparate spatial and temporal scales. However, nonlinear interactions can couple these wave modes, enabling energy transfer between them. This study adopts a dynamical systems approach to investigate acoustic–gravity wave triads in compressible water flow, employing phase-plane analysis to reveal complex bifurcation structures and identify steady-state resonant configurations. Through this framework, we identify specific parameter conditions that enable complete energy exchange between surface and acoustic modes, with the triad phase (also known as the dynamical phase) playing a crucial role in modulating energy transfer. Further, incorporating spatial dependencies into the triad system reveals additional dynamical effects that depend on the wave velocity and resonance conditions: we observe that travelling-wave solutions emerge, and their stability is governed by the Hamiltonian structure of the system. The phase-plane analysis shows that, for certain velocity regimes, the resonance dynamics remains similar to the spatially independent case, while in other regimes, bifurcations modify the structure of resonant interactions, influencing the efficiency of energy exchange. Additionally, modulated periodic solutions appear, exhibiting changes in wave amplitudes over time and space, with implications for wave-packet stability and energy localisation. These findings enhance the theoretical understanding of acoustic–gravity wave interactions, offering potential applications in geophysical phenomena such as oceanic microseisms.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://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), 2025. Published by Cambridge University Press
Figure 0

Figure 1. Characteristic phase portraits for $K=0,$$W=2$ and $\alpha =1$ for various values of detuning parameter. Panels show $\gamma = 0.36$ (a), $\gamma =\lambda W/2 \approx 1.21$ (b), $\gamma \approx 1.62$ (c), $\gamma \approx 1.98$ (d), $\gamma \approx 1.20$ (e) and $\gamma = 2.5$ (f). Each curve is a level line of the Hamiltonian, so that trajectories of the system in $(\eta,\theta)$ remain confined to these level lines; fixed points are denoted by circles ($\bigcirc$), and separatrices connecting these fixed points are denoted by dashed, black curves. For the interpretation of the red $\times$s in panel (a) refer to figure 2.

Figure 1

Figure 2. Resonant interaction throughout the phase space for $K=0$ and $\gamma = 0.36$ (Panel (a), figure 1) corresponding to the initial conditions shown as red $\times$ symbols in figure 1. Left axes show the amplitudes of surface (dashed blue curves) and acoustic modes (solid blue curves). Right axes show the dynamical phase (dash-dotted red curves). Panel (a) $\eta (0)=0.1, \, \theta (0)=-\pi /2.$ Panel (b) $\eta (0)=0.1, \, \theta (0)=\pi /2.$ Panel (c) $\eta (0)=W-0.1, \, \theta (0)=\pi /2.$.

Figure 2

Figure 3. Characteristic phase portraits for $K=0.1,$$W=2$ and $\alpha =1.2$ for various values of increasing detuning parameter. Panels show $\gamma = -0.55$ (a), $\gamma = \lambda (K+W)/2 \approx 1.83$ (b), $\gamma =2.2$ (c), $\gamma \approx 2.58$ (d), $\gamma \approx 2.60$ (e) and $\gamma =3.50$ (f). Each curve is a level line of the Hamiltonian, so that trajectories of the system in $(\eta,\theta)$ remain confined to these level lines; fixed points are denoted by circles ($\bigcirc$), and separatrices connecting these fixed points are denoted by dashed, black curves.

Figure 3

Figure 4. Optimal energy conversion along the separatrix shown in figure 1(b).

Figure 4

Figure 5. Phase portraits for the spatio-temporal system with varying speed $v.$ Parameter choices are as in panel (a) of figure 1, with $v=-0.5$ (a), $v=-0.25$ (b), $v=\kappa /\omega \approx 0.537$ (c), $v=0.805$ (d), $v\approx 1.18$ (e) and $v=\infty$ (f). Each curve is a level line of the Hamiltonian, so that trajectories of the system in $(\eta,\theta)$ remain confined to these level lines; fixed points are denoted by circles ($\bigcirc$), and separatrices connecting these fixed points are denoted by dashed, black curves. Note that panel (f) of this figure is identical to panel (a) of figure 1.

Supplementary material: File

Andrade et al. supplementary material movie 1

Bifurcation dynamics with varying detuning γ for equal surface wave amplitudes K=0. Parameters α, W are chosen as in Figure 1.
Download Andrade et al. supplementary material movie 1(File)
File 8.3 MB
Supplementary material: File

Andrade et al. supplementary material movie 2

Bifurcation dynamics with varying characteristic velocity v and fixed detuning γ = 0.36. Parameters α, K and W are chosen as in Figure 5.
Download Andrade et al. supplementary material movie 2(File)
File 8.1 MB