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dc.contributor.authorMarchi, Carlos Henrique
dc.contributor.authorSantiago, Cosmo Damião
dc.contributor.authorCarvalho, Jr., Carlos Alberto Rezende de
dc.date.accessioned2022-02-06T05:26:14Z
dc.date.available2022-02-06T05:26:14Z
dc.date.copyright9/14/2021 12:00:00 AM
dc.date.issued2021
dc.identifier.issn2377-2158
dc.identifier.othervvuq_006_04_041004.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4278020
dc.description.abstractThe incompressible steady-state fluid flow inside a lid-driven square cavity was simulated using the mass conservation and Navier–Stokes equations. This system of equations is solved for Reynolds numbers of up to 10,000 to the accuracy of the computational machine round-off error. The computational model used was the second-order accurate finite volume (FV) method. A stable solution is obtained using the iterative multigrid methodology with 8192 × 8192 volumes, while degree-10 interpolation and Richardson extrapolation were used to reduce the discretization error. The solution vector comprised five entries of velocities, pressure, and location. For comparison purposes, 65 different variables of interest were chosen, such as velocity profile, its extremum values and location, and extremum values and location of the stream function. The discretization error for each variable of interest was estimated using two types of estimators and their apparent order of accuracy. The variations of the 11 selected variables are shown across 38 Reynolds number values between 0.0001 and 10,000. In this study, we provide a more accurate determination of the Reynolds number value at which the upper secondary vortex appears. The results of this study were compared with those of several other studies in the literature. The current solution methodology was observed to produce the most accurate solution till date for a wide range of Reynolds numbers.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleLid-Driven Square Cavity Flow: A Benchmark Solution With an 8192 × 8192 Grid
dc.typeJournal Paper
dc.journal.volume6
dc.journal.issue4
dc.journal.titleJournal of Verification, Validation and Uncertainty Quantification
dc.identifier.doi10.1115/1.4052149
dc.journal.fristpage041004-1
dc.journal.lastpage041004-23
dc.page23
dc.treeJournal of Verification, Validation and Uncertainty Quantification:;2021:;volume( 006 ):;issue: 004
dc.contenttypeFulltext


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