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Optimal Boussinesq model for shallow-water waves interacting with a microstructure.

Josselin Garnier1, Roberto A Kraenkel, André Nachbin

  • 1Laboratoire de Probabilités et Modèles Aléatoires & Laboratoire Jacques-Louis Lions, Université Paris 7, 2 Place Jussieu, 75251 Paris Cedex 05, France. garnier@math.jussieu.fr

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Summary

This study optimizes reduced models for water wave propagation over periodic topography. An optimal parameter choice matches reduced models to full potential theory, enhancing understanding of microstructured wave dynamics.

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Area of Science:

  • Fluid dynamics
  • Applied mathematics
  • Wave propagation

Background:

  • Water wave propagation is complex, especially with varying bottom topography.
  • Periodic microstructured topography introduces challenges in modeling wave behavior.
  • Existing models may not fully capture the interplay of dispersion and nonlinearity.

Purpose of the Study:

  • To analyze water wave propagation in a long-wave regime over short-scale periodic topography.
  • To compare a full potential theory model with reduced Boussinesq systems.
  • To derive and optimize effective Korteweg-de Vries (KdV) equations for such systems.

Main Methods:

  • Multiscale asymptotic analysis of fluid dynamics models.
  • Parametric study of reduced Boussinesq systems.
  • Derivation of effective Korteweg-de Vries (KdV) equations.

Main Results:

  • Explicit expressions for effective KdV equation coefficients were obtained.
  • An optimal parameter for reduced models was identified to match full model limits.
  • Nonlinearity is enhanced by rough bottoms, with dispersion effects varying based on topography period.

Conclusions:

  • Reduced Boussinesq systems can accurately model water waves over periodic microstructured topography when optimally parametrized.
  • The choice of evaluation depth parameter is crucial for model accuracy.
  • Rough bottoms significantly alter wave propagation characteristics, affecting both nonlinearity and dispersion.