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dc.contributor.authorKarageorghis, Andreasen
dc.contributor.authorPhillips, T. N.en
dc.creatorKarageorghis, Andreasen
dc.creatorPhillips, T. N.en
dc.date.accessioned2019-12-02T10:36:10Z
dc.date.available2019-12-02T10:36:10Z
dc.date.issued1991
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57077
dc.description.abstractThe numerical simulation of steady planar two-dimensional laminar flow of an incompressible fluid through an abruptly contracting channel using spectral domain decomposition methods is described. The key features of the method are the decomposition of the flow region into a number of rectangular subregions and spectral approximations that are pointwise C1 continuous across subregion interfaces. Spectral approximations to the solution are obtained for Reynolds numbers in the range [0, 500]. The size of the salient corner vortex decreases as the Reynolds number increases from 0 to around 45. As the Reynolds number is increased further, the vortex grows slowly. A vortex is detected downstream of the contraction at a Reynolds number of around 175 that continues to grow as the Reynolds number is increased further. © 1991 Oxford University Press.en
dc.sourceIMA Journal of Numerical Analysisen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0007771618&doi=10.1093%2fimanum%2f11.1.33&partnerID=40&md5=5f219cca526898e668652c68b2211e12
dc.titleConforming chebyshev spectral collocation methods for the solution of laminar flow in a constricted channelen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1093/imanum/11.1.33
dc.description.volume11
dc.description.issue1
dc.description.startingpage33
dc.description.endingpage54
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :18</p>en
dc.source.abbreviationIMA J.Numer.Anal.en
dc.contributor.orcidKarageorghis, Andreas [0000-0002-8399-6880]
dc.gnosis.orcid0000-0002-8399-6880


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