2005
DOI: 10.1002/fld.1063
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Multiple semi-coarsened multigrid method with application to large eddy simulation

Abstract: SUMMARYThe Multiple Semi-coarsened Grid (MSG) multigrid method of Mulder (J. Comput. Phys. 1989; 83:303 -323) is developed as a solver for fully implicit discretizations of the time-dependent incompressible Navier-Stokes equations. The method is combined with the Symmetric Coupled Gauss-Seidel (SCGS) smoother of Vanka (Comput. Methods Appl. Mech. Eng. 1986; 55:321-338) and its robustness demonstrated by performing a number of large-eddy simulations, including bypass transition on a at plate and the turbulent … Show more

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Cited by 3 publications
(4 citation statements)
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References 32 publications
(53 reference statements)
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“…In particular the inclusion of the additional elements on the off-diagonals arising from the convection and diffusion schemes is found to make little difference in the rate of convergence and hence these elements are not used in the present work. For the SCGS algorithm, this unimportance of the off-diagonals has been reported by others [21,22]. When these off-diagonals terms are dropped the left-hand side of Equation (21) differs from Equation (18) only in the centre coefficients Table I.…”
Section: Implicit Time Integration Of Convective and Diffusive Termsmentioning
confidence: 77%
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“…In particular the inclusion of the additional elements on the off-diagonals arising from the convection and diffusion schemes is found to make little difference in the rate of convergence and hence these elements are not used in the present work. For the SCGS algorithm, this unimportance of the off-diagonals has been reported by others [21,22]. When these off-diagonals terms are dropped the left-hand side of Equation (21) differs from Equation (18) only in the centre coefficients Table I.…”
Section: Implicit Time Integration Of Convective and Diffusive Termsmentioning
confidence: 77%
“…Making a sweep in the direction opposite to the main velocity component can be unstable and presents a problem in recirculating flows. The algorithm does have the advantage of easy-to-choose under-relaxation parameters for the changes in velocity and pressure; the authors have used ∼ 0.9 to solve very different flow problems, while others [21,22] have used values in the range (0.2 ↔ 0.75). A more serious defect is that it is an inherently serial algorithm.…”
Section: Scgsmentioning
confidence: 99%
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“…Following up on the previous point, indeed, it is worth pointing out that RANS have been occasionally used for RB (Kenjeres and Hanjalic [142,143]), and vice versa, LES has been sporadically applied to problems with horizontal temperature difference (Peng and Davidson [144], Sergent et al [145], Salat et al [146], Ham et al [147], Sergent et al [148], Zhang et al [149]). In practice, the intrinsic ability of LES to deal with highly unsteady dynamics (for which no steady flow "in mean" may exist) goes some way to explain why it has enjoyed a widespread use for the simulation of turbulent RB convection (Eidson [150], Wong and Lilly [151], Kimmel and Domaradzki [152], Sergent et al [153], Kenjeres and Hanjalic [143], Dabbagh et al [154], Togni et al [155]).…”
Section: Extension To the Turbulent Regimementioning
confidence: 87%