کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6388156 1627762 2015 22 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A Boussinesq-scaled, pressure-Poisson water wave model
ترجمه فارسی عنوان
یک مدل موج بواسینسک-مقیاس، فشار-پواسون
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات علم هواشناسی
چکیده انگلیسی


- We develop a pressure-Poisson based Boussinesq-scaled non-hydrostatic wave model.
- Contains at most second-order derivatives and no mixed space/time derivatives.
- A Green-Naghdi polynomial expansion is used to resolve the vertical dimension.
- Asymptotic rearrangement is used to optimize linear and nonlinear properties.
- Numerical simulations show excellent agreement with experimental results.

Through the use of Boussinesq scaling we develop and test a model for resolving non-hydrostatic pressure profiles in nonlinear wave systems over varying bathymetry. A Green-Nagdhi type polynomial expansion is used to resolve the pressure profile along the vertical axis, this is then inserted into the pressure-Poisson equation, retaining terms up to a prescribed order and solved using a weighted residual approach. The model shows rapid convergence properties with increasing order of polynomial expansion which can be greatly improved through the application of asymptotic rearrangement. Models of Boussinesq scaling of the fully nonlinear O(μ2) and weakly nonlinear O(μN) are presented, the analytical and numerical properties of O(μ2) and O(μ4) models are discussed. Optimal basis functions in the Green-Nagdhi expansion are determined through manipulation of the free-parameters which arise due to the Boussinesq scaling. The optimal O(μ2) model has dispersion accuracy equivalent to a Padé [2,2] approximation with one extra free-parameter. The optimal O(μ4) model obtains dispersion accuracy equivalent to a Padé [4,4] approximation with two free-parameters which can be used to optimize shoaling or nonlinear properties. In comparison to experimental results the O(μ4) model shows excellent agreement to experimental data.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ocean Modelling - Volume 86, February 2015, Pages 36-57
نویسندگان
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