Two-layer Boussinesq models for coastal water waves

被引:14
|
作者
Liu, Zhongbo [1 ,2 ,3 ]
Fang, Kezhao [2 ,3 ]
机构
[1] Dalian Maritime Univ, Transportat Management Coll, Dalian 116026, Peoples R China
[2] Dalian Univ Technol, State Key Lab Coastal & Offshore Engn, Dalian 116024, Peoples R China
[3] Changsha Univ Technol, Key Lab Water & Sediment Sci & Water Hazard Preve, Changsha 410114, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Two-layer Boussinesq equations; Dispersive property; Shoaling property; Nonlinear property; Numerical models; LINEAR DISPERSION CHARACTERISTICS; SURFACE GRAVITY-WAVES; FULLY NONLINEAR-WAVES; VARYING BATHYMETRY; MULTILAYER MODEL; EQUATIONS; FORM; DERIVATION; FORMULATIONS; PROPAGATION;
D O I
10.1016/j.wavemoti.2015.03.006
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
This paper presents three sets of two-layer Boussinesq models for highly dispersive and highly nonlinear water waves. These models are formulated in terms of depth-averaged velocities or velocities located at two arbitrary z locations within each layer and are fully nonlinear to the second order. Stokes-type expansions are used to theoretically analyze the linear and nonlinear properties of the models. The coefficients involved in the governing equations are determined from the minimization of the integral error between the linear wave celerity, shoaling gradient, second nonlinear harmonics of the equations and the related analytical solutions. The most promising model is applicable up to kh approximate to 25.4 (where kh is the dimensionless water depth, k is the wave number, and h is the water depth) for the dispersive property, to kh approximate to 6 for the second nonlinear property within 1% error, and to kh <= 6 for the excellent shoaling property. The numerical implementation for one-dimensional governing equations on non-staggered grids is also presented by employing a fourth-order Adams-Bashforth-Moulton time integration and the high-accuracy finite difference method. Four demanding numerical experiments that require high accuracy of dispersion and nonlinearity are conducted to assess the performance of the models. The computational results are compared against the analytical solution and experimental data, good agreements are found. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:88 / 111
页数:24
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