The purpose of this paper is to show benefits of deflated preconditioned conjugate gradients (CG) in the solution of transient, incompressible, viscous flows coupled with heat transfer.
This paper presents the implementation of deflated preconditioned CG as the iterative driver for the system of linearized equations for viscous, incompressible flows and heat transfer simulations. The De Sampaio-Coutinho particular form of the Petrov-Galerkin Generalized Least Squares finite element formulation is used in the discretization of the governing equations, leading to symmetric positive definite matrices, allowing the use of the CG solver.
The use of deflation techniques improves the spectral condition number. The authors show in a number of problems of coupled viscous flow and heat transfer that convergence is achieved with a lower number of iterations and smaller time.
This work addressed for the first time the use of deflated CG for the solution of transient analysis of free/forced convection in viscous flows coupled with heat transfer.
The authors would like to thank the support of the Alberto Luiz Coimbra Institute of Graduate Studies and Research in Engineering at the Federal University of Rio de Janeiro. This work was also made possible through the postdoctoral program PDJ of the Brazilian National Council for Scientific and Technological Development, CNPq, grant number 159662/2011-7.
Kraft, R. and Coutinho, A. (2015), "Deflated preconditioned conjugate gradients applied to a Petrov-Galerkin generalized least squares finite element formulation for incompressible flows with heat transfer", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 25 No. 2, pp. 272-298. https://doi.org/10.1108/HFF-12-2012-0272Download as .RIS
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