A new model of shoaling and breaking waves. Part 2. Run-up and two-dimensional waves

被引:12
|
作者
Richard, G. L. [1 ]
Duran, A. [2 ]
Fabreges, B. [2 ]
机构
[1] Univ Savoie Mont Blanc, LAMA, UMR5127, F-73376 Le Bourget Du Lac, France
[2] Univ Claude Bernard Lyon 1, Inst Camille Jordan, CNRS UMR 5208, F-69100 Villeurbanne, France
关键词
coastal engineering; shallow water flows; wave breaking; DISCONTINUOUS GALERKIN METHOD; SHALLOW-WATER EQUATION; BOUSSINESQ-TYPE MODEL; SURF-ZONE; NUMERICAL SCHEME; SOLITARY WAVES; TURBULENCE; PROPAGATION; SIMULATION; EVOLUTION;
D O I
10.1017/jfm.2019.125
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
We derive a two-dimensional depth-averaged model for coastal waves with both dispersive and dissipative effects. A tensor quantity called enstrophy models the subdepth large-scale turbulence, including its anisotropic character, and is a source of vorticity of the average flow. The small-scale turbulence is modelled through a turbulent-viscosity hypothesis. This fully nonlinear model has equivalent dispersive properties to the Green-Naghdi equations and is treated, both for the optimization of these properties and for the numerical resolution, with the same techniques which are used for the Green-Naghdi system. The model equations are solved with a discontinuous Galerkin discretization based on a decoupling between the hyperbolic and non-hydrostatic parts of the system. The predictions of the model are compared to experimental data in a wide range of physical conditions. Simulations were run in one-dimensional and two-dimensional cases, including run-up and run-down on beaches, non-trivial topographies, wave trains over a bar or propagation around an island or a reef. A very good agreement is reached in every cases, validating the predictive empirical laws for the parameters of the model. These comparisons confirm the efficiency of the present strategy, highlighting the enstrophy as a robust and reliable tool to describe wave breaking even in a two-dimensional context. Compared with existing depth-averaged models, this approach is numerically robust and adds more physical effects without significant increase in numerical complexity.
引用
收藏
页码:146 / 194
页数:49
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