房克照

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:大连理工大学

学位:博士

所在单位:水利工程系

学科:港口、海岸及近海工程

办公地点:海洋工程研究所A204

电子邮箱:kfang@dlut.edu.cn

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A new two-layer Boussinesq model for coastal waves from deep to shallow water: Derivation and analysis

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论文类型:期刊论文

发表时间:2016-12-01

发表刊物:WAVE MOTION

收录刊物:SCIE、EI、Scopus

卷号:67

页面范围:1-14

ISSN号:0165-2125

关键字:Two-layer Boussinesq model; Dispersion; Nonlinear property; Shoaling property; Vertical distribution of velocity

摘要:We derive a new two-layer Boussinesq model with high accuracy in linear and nonlinear properties and in interior kinematic property from deep to shallow water. This model is formulated in terms of computational horizontal and vertical velocities defined in each layer. The highest derivative in the equations is limited to three, which is convenient for numerical discretization. Stokes-type expansions are used to theoretically analyze the linear and nonlinear properties of the new two-layer Boussinesq model. The dispersive coefficients involved in the governing equations are determined by minimizing the integral error between the linear wave celerity of the Boussinesq model and the analytical solution. Shoaling coefficients are also optimized to expand the application range of the model to the mildly varying bathymetries. The most attractive aspect of this work is that the newly developed two-layer model exhibits high accuracy in linear, nonlinear, shoaling, and kinematic properties from extremely deep to shallow water. The analyses show that the resultant model is applicable to up to kh approximate to 53 in linear dispersion, up to kh approximate to 30 in the second nonlinear property within 1% error, and up to 0 < kh < 60 in linear shoaling property with 0.13% error. Compared with that of most existing Boussinesq-type models, the accuracy of the horizontal and vertical velocities of the new model along the water column is improved significantly, and the model can be applicable to up to kh 23.2 within 1% error. (C) 2016 Elsevier B.V. All rights reserved.