2009•Dalian Ligong Daxue xuebaoRequires access

Solution of 2D shallow water equations with complicated geometry using modified HLL scheme

Congfang Ai, Sheng Jin

Open publisher page 0 citations

Abstract

A numerical model based on the unstructured grid finite volume method is developed for two-dimensional shallow water equation with complicated geometry.The HLL approximate Riemann solver is used for the computation of numerical flux functions.Based on triangular grid,the bed slope source terms are computed since three vertices of a triangle lie on the same plane.The friction source terms are treated in a fully implicit way to alleviate stabilities of the scheme.To achieve high-order spatial accuracy and prevent nonphysical oscillations,the multidimensional reconstruction technique and multidimensional limiter are employed.The time discretization is made by the third-order Runge-Kutta method to accomplish high-order temporal accuracy.To balance the pressure and bed slope terms,the hydrostatic pressure term in the momentum equation is corrected.The good quality of the results verifies that the scheme has good capability of shock capturing,and can be applied to real flows with complex boundary.

About this research paper

What this paper is about

A numerical model based on the unstructured grid finite volume method is developed for two-dimensional shallow water equation with complicated geometry.The HLL approximate Riemann solver is used for the computation of numerical flux functions.Based on triangular grid,the bed slope source terms are computed since three vertices of a triangle lie on the same plane.The friction source terms are treated in a fully implicit way to alleviate stabilities of the scheme.To achieve high-order spatial accuracy and prevent nonphysical oscillations,the multidimensional reconstruction technique and multidimensional limiter are employed.The time discretization is made by the third-order Runge-Kutta method to accomplish high-order temporal accuracy.To balance the pressure and bed slope terms,the hydrostatic pressure term in the momentum equation is corrected.The good quality of the results verifies that the scheme has good capability of shock capturing,and can be applied to real flows with complex boundary.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A numerical model based on the unstructured grid finite volume method is developed for two-dimensional shallow water equation with complicated geometry.The HLL approximate Riemann solver is used for the computation of numerical flux functions.Based on triangular grid,the bed slope source terms are computed since three vertices of a triangle lie on the same plane.The friction source terms are treated in a fully implicit way to alleviate stabilities of the scheme.To achieve high-order spatial accuracy and prevent nonphysical oscillations,the multidimensional reconstruction technique and multidimensional limiter are employed.The time discretization is made by the third-order Runge-Kutta method to accomplish high-order temporal accuracy.To balance the pressure and bed slope terms,the hydrostatic pressure term in the momentum equation is corrected.The good quality of the results verifies that the scheme has good capability of shock capturing,and can be applied to real flows with complex boundary.

Key concepts: Riemann solver, Discretization, Finite volume method, Mathematics, Computation, Grid, Shallow water equations, Geometry

Related papers

Back to paper searchBrowse research topicsOriginal source
Solution of 2D shallow water equations with complicated geometry using modified HLL scheme — Research Paper | ScholarLens