A Spectrally Filtered, Least-Squares Projection Method for Stokes Flow Problems in Driven Cavities

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dc.contributor.authorAdomaitis, Raymond A.en_US
dc.contributor.departmentISRen_US
dc.date.accessioned2007-05-23T10:07:34Z
dc.date.available2007-05-23T10:07:34Z
dc.date.issued1999en_US
dc.description.abstractA least-squares, weighted residual projection method is presented forcomputingStokes flow solutions to driven cavity problems in rectangular andcylindrical geometries.In this procedure, thevelocity field components are first defined by eigenfunction expansionsolutions to the Stokes flow problem in terms of an unknown pressure fieldwhich is subsequentlycomputed by minimizing the continuity equation residual norm by theleast-squaresprojection. The role of spectral filtering methods for improving pointwisesolutionconvergence is also discussed.en_US
dc.format.extent823962 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6040
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1999-76en_US
dc.subjectEigenfunction expansionen_US
dc.subjectdriven cavity flowsen_US
dc.subjectStokes flowen_US
dc.subjectconvergenceen_US
dc.subjectspectral filteringen_US
dc.subjectGibbs phenomenonen_US
dc.subjectIntelligent Control Systemsen_US
dc.titleA Spectrally Filtered, Least-Squares Projection Method for Stokes Flow Problems in Driven Cavitiesen_US
dc.typeTechnical Reporten_US

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