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Arbel, A., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Shklyar, A., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
In optimizing the iteration parameters of the SIMPLE numerical procedure, a genetic algorithm (GA) that searches for a minimum calculation time in a space of iteration numbers was developed. A methodology has been presented for the numerical solution of natural convection in a squeezed cavity at Rayleigh numbers of 106. A double-staggered-grid numerical method which leads to generalization of the SIMPLE-like method for external and internal problems was used to optimize the iteration parameters for a single grid. The momentum equation was treated by the successive overrelaxation and the Gauss-Seidel methods. The pressure correction equation was solved by the conjugate gradient method with an incomplete factorization preconditioner. The temperature equation was solved by the bi-conjugate gradient-stabilized method with incomplete factorization preconditioner. © 2010 IMACS. Published by Elsevier B.V. All rights reserved.
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תנאי שימוש
Optimization of the iteration parameters of the simulation of incompressible flow
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Arbel, A., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Shklyar, A., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, P.O. Box 6, Bet Dagan 50250, Israel
Optimization of the iteration parameters of the simulation of incompressible flow
In optimizing the iteration parameters of the SIMPLE numerical procedure, a genetic algorithm (GA) that searches for a minimum calculation time in a space of iteration numbers was developed. A methodology has been presented for the numerical solution of natural convection in a squeezed cavity at Rayleigh numbers of 106. A double-staggered-grid numerical method which leads to generalization of the SIMPLE-like method for external and internal problems was used to optimize the iteration parameters for a single grid. The momentum equation was treated by the successive overrelaxation and the Gauss-Seidel methods. The pressure correction equation was solved by the conjugate gradient method with an incomplete factorization preconditioner. The temperature equation was solved by the bi-conjugate gradient-stabilized method with incomplete factorization preconditioner. © 2010 IMACS. Published by Elsevier B.V. All rights reserved.
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