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Optimization of the iteration parameters of the simulation of incompressible flow by a genetic algorithm
Year:
2009
Source of publication :
AIP Conference Proceedings
Authors :
Arbel, Avraham
;
.
Shklyar, Alexander
;
.
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
Facilitators :
From page:
597
To page:
600
(
Total pages:
4
)
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.
Note:
Related Files :
Heat Transfer
Natural convection
Numerical techniques
Rectangular Cavity
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More details
DOI :
10.1063/1.3241533
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
Conference paper
;
.
Language:
English
Editors' remarks:
ID:
31170
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 01:00
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Scientific Publication
Optimization of the iteration parameters of the simulation of incompressible flow by a genetic algorithm
1168
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
Optimization of the iteration parameters of the simulation of incompressible flow by a genetic algorithm
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.
Scientific Publication
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