אסיף מאגר המחקר החקלאי

Optimization of the iteration parameters of the simulation of incompressible flow by a genetic algorithm

Year:

2009

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Volume :

1168

Co-Authors:

Arbel, A., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P. O. Box 6, Bet Dagan 50250, Israel
Shklyar, A., Institute of Agricultural Engineering, Agricultural Research Organization, The Volcani Center, P. O. Box 6, Bet Dagan 50250, Israel

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Abstract:

In optimizing the SIMPLE-like numerical procedure, a genetic algorithm (GA) which aims to minimize the calculation time in a space of iteration parameters was developed. Various iterative procedures for Poisson's pressure correction equations, which arise from application of this SIMPLE-like procedure, were employed: successive over-relaxation, modified incomplete factorization, a conjugate gradient method, and a conjugate gradient method with a modified incomplete factorization preconditioner. The temperature equation was solved by successive over-relaxation, biconjugate gradient-stabilized method, and the biconjugate gradient-stabilized and generalized conjugate residual methods with modified incomplete factorization preconditioner. The momentum equation was treated with the successive over-relaxation and the Gauss Seidel methods. A methodology is presented for the numerical solution of natural convection in a rectangular cavity. © 2009 American Institute of Physics.

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