A well-balanced adaptive Haar wavelet finite volume scheme for 1D free surface water flows

This paper studies a Haar-wavelet based finite volume method in terms of its capability of preserving a well-balanced property compared to the classical finite volume method, as well as with its application on the real case of the shallow water flow which has irregular bed elevation. The well-balanc...

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Main Author: Dilshad A. Haleem
Format: Article
Language:English
Published: Elsevier 2019-12-01
Series:Ain Shams Engineering Journal
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447919300863
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spelling doaj-7a6f19c33a4a4d788ddb91e6452fd0dd2021-06-02T07:25:49ZengElsevierAin Shams Engineering Journal2090-44792019-12-01104891895A well-balanced adaptive Haar wavelet finite volume scheme for 1D free surface water flowsDilshad A. Haleem0University of Duhok, Duhok, IraqThis paper studies a Haar-wavelet based finite volume method in terms of its capability of preserving a well-balanced property compared to the classical finite volume method, as well as with its application on the real case of the shallow water flow which has irregular bed elevation. The well-balanced property is considered as an important benchmark for validation of the numerical scheme, particularly when the system of the governing equations is inhomogeneous (i.e. the source term is not zero). Haar wavelet finite volume scheme is obtained via merging the theory of wavelets with the formulation of finite volume method. The Roe approximate Riemann solver is adopted to evaluate the numerical fluxes at cell boundaries. The source term is represented by the frictionless topography in the test case. Furthermore, the numerical results are compared to the classical finite volume scheme and the real case and it is in a good agreement with the exact and reference finite volume scheme in which the adaptive scheme preserved the equilibrium state of the system. The adaptive scheme inherits the features of the classical finite scheme but with less computational effort in which the adaptive scheme needs a maximum of 211 cells (8.8% of the finest uniform mesh refinement) to get the convergence of the scheme. While in the partially wet sub-case, it needs 223 cells (9.3% of the finest uniform mesh refinement). The numerical scheme was preserving the root mean square error of the computational results within the range of the machine precision. Keywords: Shallow water equation (SWE), Haar wavelets, Finite volume method, Adaptive schemehttp://www.sciencedirect.com/science/article/pii/S2090447919300863
collection DOAJ
language English
format Article
sources DOAJ
author Dilshad A. Haleem
spellingShingle Dilshad A. Haleem
A well-balanced adaptive Haar wavelet finite volume scheme for 1D free surface water flows
Ain Shams Engineering Journal
author_facet Dilshad A. Haleem
author_sort Dilshad A. Haleem
title A well-balanced adaptive Haar wavelet finite volume scheme for 1D free surface water flows
title_short A well-balanced adaptive Haar wavelet finite volume scheme for 1D free surface water flows
title_full A well-balanced adaptive Haar wavelet finite volume scheme for 1D free surface water flows
title_fullStr A well-balanced adaptive Haar wavelet finite volume scheme for 1D free surface water flows
title_full_unstemmed A well-balanced adaptive Haar wavelet finite volume scheme for 1D free surface water flows
title_sort well-balanced adaptive haar wavelet finite volume scheme for 1d free surface water flows
publisher Elsevier
series Ain Shams Engineering Journal
issn 2090-4479
publishDate 2019-12-01
description This paper studies a Haar-wavelet based finite volume method in terms of its capability of preserving a well-balanced property compared to the classical finite volume method, as well as with its application on the real case of the shallow water flow which has irregular bed elevation. The well-balanced property is considered as an important benchmark for validation of the numerical scheme, particularly when the system of the governing equations is inhomogeneous (i.e. the source term is not zero). Haar wavelet finite volume scheme is obtained via merging the theory of wavelets with the formulation of finite volume method. The Roe approximate Riemann solver is adopted to evaluate the numerical fluxes at cell boundaries. The source term is represented by the frictionless topography in the test case. Furthermore, the numerical results are compared to the classical finite volume scheme and the real case and it is in a good agreement with the exact and reference finite volume scheme in which the adaptive scheme preserved the equilibrium state of the system. The adaptive scheme inherits the features of the classical finite scheme but with less computational effort in which the adaptive scheme needs a maximum of 211 cells (8.8% of the finest uniform mesh refinement) to get the convergence of the scheme. While in the partially wet sub-case, it needs 223 cells (9.3% of the finest uniform mesh refinement). The numerical scheme was preserving the root mean square error of the computational results within the range of the machine precision. Keywords: Shallow water equation (SWE), Haar wavelets, Finite volume method, Adaptive scheme
url http://www.sciencedirect.com/science/article/pii/S2090447919300863
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