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Computational Methods in Applied Mathematics

Editor-in-Chief: Carstensen, Carsten

Managing Editor: Matus, Piotr

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1609-9389
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Volume 18, Issue 4

Issues

Assessment of Characteristic Boundary Conditions Based on the Artificial Compressibility Method in Generalized Curvilinear Coordinates for Solution of the Euler Equations

Kaveh ParsehORCID iD: http://orcid.org/0000-0002-8078-4903 / Kazem Hejranfar
Published Online: 2017-11-14 | DOI: https://doi.org/10.1515/cmam-2017-0048

Abstract

The characteristic boundary conditions are applied and assessed for the solution of incompressible inviscid flows. The two-dimensional incompressible Euler equations based on the artificial compressibility method are considered and then the characteristic boundary conditions are formulated in the generalized curvilinear coordinates and implemented on both the far-field and wall boundaries. A fourth-order compact finite-difference scheme is used to discretize the resulting system of equations. The solution methodology adopted is more suitable for this assessment because the Euler equations and the high-accurate numerical scheme applied are quite sensitive to the treatment of boundary conditions. Two benchmark test cases are computed to investigate the accuracy and performance of the characteristic boundary conditions implemented compared to the simplified boundary conditions. The sensitivity of the solution obtained by applying the characteristic boundary conditions to the different numerical parameters is also studied. Indications are that the characteristic boundary conditions applied improve the accuracy and the convergence rate of the solution compared to the simplified boundary conditions.

Keywords: Characteristic Boundary Conditions; Incompressible Flows; Artificial Compressibility Method; Euler Equations; Compact Finite-Difference Method; Generalized Curvilinear Coordinates

MSC 2010: 35Q31; 65B99; 76B99; 65M25; 65M06

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About the article

Received: 2017-03-13

Revised: 2017-07-30

Accepted: 2017-08-08

Published Online: 2017-11-14

Published in Print: 2018-10-01


Citation Information: Computational Methods in Applied Mathematics, Volume 18, Issue 4, Pages 717–740, ISSN (Online) 1609-9389, ISSN (Print) 1609-4840, DOI: https://doi.org/10.1515/cmam-2017-0048.

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