TY - JOUR
T1 - Stability of convective flows in cavities
T2 - Solution of benchmark problems by a low-order finite volume method
AU - Gelfgat, Alexander Yu
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007/1/30
Y1 - 2007/1/30
N2 - A problem of stability of steady convective flows in rectangular cavities is revisited and studied by a second-order finite volume method. The study is motivated by further applications of the finite volume-based stability solver to more complicated applied problems, which needs an estimate of convergence of critical parameters. It is shown that for low-order methods the quantitatively correct stability results for the problems considered can be obtained only on grids having more than 100 nodes in the shortest direction, and that the results of calculations using uniform grids can be significantly improved by the Richardson's extrapolation. It is shown also that grid stretching can significantly improve the convergence, however sometimes can lead to its slowdown. It is argued that due to the sparseness of the Jacobian matrix and its large dimension it can be effective to combine Arnoldi iteration with direct sparse solvers instead of traditional Krylov-subspace-based iteration techniques. The same replacement in the Newton steady-state solver also yields a robust numerical process, however, it cannot be as effective as modern preconditioned Krylov-subspace-based iterative solvers.
AB - A problem of stability of steady convective flows in rectangular cavities is revisited and studied by a second-order finite volume method. The study is motivated by further applications of the finite volume-based stability solver to more complicated applied problems, which needs an estimate of convergence of critical parameters. It is shown that for low-order methods the quantitatively correct stability results for the problems considered can be obtained only on grids having more than 100 nodes in the shortest direction, and that the results of calculations using uniform grids can be significantly improved by the Richardson's extrapolation. It is shown also that grid stretching can significantly improve the convergence, however sometimes can lead to its slowdown. It is argued that due to the sparseness of the Jacobian matrix and its large dimension it can be effective to combine Arnoldi iteration with direct sparse solvers instead of traditional Krylov-subspace-based iteration techniques. The same replacement in the Newton steady-state solver also yields a robust numerical process, however, it cannot be as effective as modern preconditioned Krylov-subspace-based iterative solvers.
KW - Arnoldi iteration
KW - Finite volume method
KW - Hydrodynamic stability
KW - Newton iteration
UR - http://www.scopus.com/inward/record.url?scp=33846430922&partnerID=8YFLogxK
U2 - 10.1002/fld.1291
DO - 10.1002/fld.1291
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AN - SCOPUS:33846430922
SN - 0271-2091
VL - 53
SP - 485
EP - 506
JO - International Journal for Numerical Methods in Fluids
JF - International Journal for Numerical Methods in Fluids
IS - 3
ER -