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dc.contributor.authorKarageorghis, Andreasen
dc.contributor.authorLesnic, Danielen
dc.creatorKarageorghis, Andreasen
dc.creatorLesnic, Danielen
dc.date.accessioned2021-01-25T08:41:25Z
dc.date.available2021-01-25T08:41:25Z
dc.date.issued2019
dc.identifier.issn1098-2426
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/62861
dc.description.abstractIn this paper, the steady-state Oseen viscous flow equations past a known or unknown obstacle are solved numerically using the method of fundamental solutions (MFS), which is free of meshes, singularities, and numerical integrations. The direct problem is linear and well-posed, whereas the inverse problem is nonlinear and ill-posed. For the direct problem, the MFS computations of the fluid flow characteristics (velocity, pressure, drag, and lift coefficients) are in very good agreement with the previously published results obtained using other methods for the Oseen flow past circular and elliptic cylinders, as well as past two circular cylinders. In the inverse obstacle problem the boundary data and the internal measurement of the fluid velocity are minimized using the MATLAB© optimization toolbox lsqnonlin routine. Regularization was found necessary in the case the measured data are contaminated with noise. Numerical results show accurate and stable reconstructions of various star-shaped obstacles of circular, bean, or peanut cross-section.en
dc.language.isoenen
dc.sourceNumerical Methods for Partial Differential Equationsen
dc.source.urihttps://onlinelibrary.wiley.com/doi/abs/10.1002/num.22404
dc.titleThe method of fundamental solutions for the Oseen steady-state viscous flow past obstacles of known or unknown shapesen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1002/num.22404
dc.description.volume35
dc.description.issue6
dc.description.startingpage2103
dc.description.endingpage2119
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.contributor.orcidKarageorghis, Andreas [0000-0002-8399-6880]
dc.gnosis.orcid0000-0002-8399-6880


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