In this work, the authors present an artificial compressibility (AC) version of the characteristic-based split (CBS) algorithm for the numerical solution of flow through a fluid-saturated porous medium. In this study, a fully matrix-inversion-free version of the CBS algorithm is used for the first time to solve the generalized porous medium flow equations for forced-, free-, and mixed-convection problems. The efficiency, the accuracy, and the steady-state convergence of the AC-CBS algorithm are verified through comparison with numerical and analytical solutions available in the literature. The advantages of the proposed AC-CBS scheme include easy parallelization and implementation procedure.
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Titolo: | Artificial Compressibility-Based CBS Scheme for the Solution of the Generalized Porous Medium Model |
Autori: | |
Data di pubblicazione: | 2009 |
Rivista: | |
Abstract: | In this work, the authors present an artificial compressibility (AC) version of the characteristic-based split (CBS) algorithm for the numerical solution of flow through a fluid-saturated porous medium. In this study, a fully matrix-inversion-free version of the CBS algorithm is used for the first time to solve the generalized porous medium flow equations for forced-, free-, and mixed-convection problems. The efficiency, the accuracy, and the steady-state convergence of the AC-CBS algorithm are verified through comparison with numerical and analytical solutions available in the literature. The advantages of the proposed AC-CBS scheme include easy parallelization and implementation procedure. |
Handle: | http://hdl.handle.net/11580/12718 |
Appare nelle tipologie: | 1.1 Articolo in rivista |