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Class-III Bragg resonance of surface waves by sinusoidal sandbars

Published online by Cambridge University Press:  01 June 2026

Haiqi Fang
Affiliation:
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University , Chengdu 610065, PR China
Huaizhou Zhou
Affiliation:
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University , Chengdu 610065, PR China
Pengzhi Lin*
Affiliation:
State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University , Chengdu 610065, PR China
*
Corresponding author: Pengzhi Lin, cvelinpz@scu.edu.cn

Abstract

Periodic sandbars can scatter nearshore water waves, and wave nonlinearity can further induce complex hydrodynamic behaviours, either amplifying reflection or enhancing transmission, specifically through Class-III subharmonic or superharmonic Bragg resonance. While this phenomenon is crucial for understanding wave–seabed interactions, analytical quantification of key features, i.e. resonance detuning, cutoff frequencies and resonance bandwidth, remains limited. In this study, using the multiple-scale expansion method, we derive a new set of modified nonlinear Schrödinger (MNLS) equations that account for dispersion, wave nonlinearity and topographic effects up to third-order accuracy. By applying the frozen-coefficient method to the MNLS equations, we further formulate approximate closed-form solutions for the reflection and transmission coefficients, which remain bounded across all parameter regimes and can well capture resonance detuning. A theoretical formula is derived to quantify the detuning magnitude, which is validated against existing experimental and numerical results. Moreover, the closed-form nature of the solutions enables the first predictions of the cutoff frequencies and the resonance bandwidth for Class-III Bragg resonance, thereby clarifying the maximum capacity of the sandbars to scatter wave energy. Additionally, an asymptotic analysis in the infinite-sandbar limit reveals substantial differences between subharmonic and superharmonic resonance: the former exhibits a resonance bandwidth proportional to the product of the wave amplitude and the sandbar amplitude, whereas the latter presents a newly reported zero-bandwidth structure. Numerical simulations further support these findings and reveal two features near the superharmonic resonance: an asymmetry of the envelope, characterized by a sharp corner, and an additional upshift that is further evaluated analytically.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NC
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial licence (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original article is properly cited. The written permission of Cambridge University Press or the rights holder(s) must be obtained prior to any commercial use.
Copyright
© The Author(s), 2026. Published by Cambridge University Press
Figure 0

Figure 1. Schematic of wave propagation domain.

Figure 1

Table 1. Parameters for wave scattering by sinusoidal sandbars.

Figure 2

Figure 2. Comparison of reflection ($\lvert R(0)\rvert$) and transmission coefficients ($\lvert T(L)\rvert$) among the present solutions ((3.22), blue solid line), the numerical solution from the MNLS equations ((3.5), red dashed line), the numerical results of Liu & Yue (1998) (black dots) and their perturbation solution (purple dash–dotted line). The leftward arrow indicates the downshift from the standard resonance condition ($k_\beta =2k_\alpha -k_d$). Here (a) Case a; (b) Case b.

Figure 3

Figure 3. Comparison of reflection (subharmonic) and transmission (superharmonic) coefficients among the present analytical solutions ((3.22) for (a) and (3.27) for (b), blue solid line), the numerical solution from the MNLS equations ((3.5), red dashed line), the numerical results of Ning et al. (2022) (yellow diamonds), the numerical results (black triangles) of Peng et al. (2019) and their experimental data (green dots). The arrows indicate the downshift or upshift from the standard resonance conditions (subharmonic, $k_\beta =2k_\alpha -k_d$; superharmonic, $k_\beta =2k_\alpha +k_d$). Here (a) Case c; (b) Case d.

Figure 4

Figure 4. Comparison of the resonant wavenumber with increasing bottom amplitude between the analytical solution (4.5) and the numerical solution from the MNLS equations (3.5) for different wave nonlinearities: $k_\alpha A_0=0.02$ (solid line and squares); $0.05$ (dashed line and triangles); $0.08$ (dash–dotted line and circles). Here (a) subharmonic resonance; (b) superharmonic resonance.

Figure 5

Figure 5. Comparison of how coefficients $\varPi _1$ (a) and $\varPi _2$ (b) vary with $k_\alpha h$ for subharmonic (blue solid line) and superharmonic resonance (red dashed line).

Figure 6

Figure 6. Comparison of the absolute values of the coefficients $|\varPi _1|$ (red line) and $|\varPi _2|$ (blue line) as functions of $k_{\alpha } h$. The shaded red and blue regions indicate $|\varPi _1| \gt |\varPi _2|$ and $|\varPi _1| \lt |\varPi _2|$, respectively: (a) subharmonic resonance; (b) superharmonic resonance.

Figure 7

Table 2. Parameters for studying the influence of sandbar number on resonance bandwidth.

Figure 8

Figure 7. Comparison of the reflection (a), Case e, (3.22) and transmission (b), Case f, (3.27) coefficients with varying sandbar length: $N_d=10$ (red dash–dotted line), $20$ (purple dashed line), $40$ (black solid line) and infinite (blue shaded region). The blue lines represent the envelopes: (4.11) for (a) and (4.12) for (b).

Figure 9

Figure 8. Comparison of $\text{En}_{\textit{sup}}$ from the analytical solution (blue line, (4.12)) and numerical results for different sandbar number: $N_d=40$ (red line), $50$ (purple line), $250$ (green line) and $500$ (black dashed line).

Figure 10

Figure 9. (a) Residual of the shooting method, $|\boldsymbol{F}(s_{\textit{re}}^{(k)}, s_{\textit{im}}^{(k)})|$, at termination of the iteration for each $n_t$ (black diamonds); (b) relative errors of the reflection coefficient (Case c, blue dots) and the transmission coefficient (Case d, red triangles) as functions of $n_t$.

Figure 11

Figure 10. Comparison of the resonance frequency as a function of wave steepness, obtained from the simplified MNLS equations (red dashed line, (D1)), the analytical solution ($\omega _{\theta }$, blue line, (4.2)), the full MNLS equations (black dashed line, (3.5)) and the modified analytical solution ($\omega _{\theta }^{\infty }$, yellow line, (D6)).