Show simple item record

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorFrank, J.E.
dc.contributor.authorVisee, E.H.
dc.date.accessioned2016-07-25T17:01:08Z
dc.date.available2016-07-25T17:01:08Z
dc.date.issued2016
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/22953
dc.description.abstractThe new shallow water solver D-Flow FM is being developed at the Deltares research in- stitute. It employs a discretization method on unstructured staggered grids, which requires reconstructing a velocity vector in the center of the cell. The currently employed first order method as developed by Perot forces the use of fine and/or regular grids for the modelling of advection and diffusion. To take full advantage of unstructured grids, a second order velocity vector reconstruction method is required. In this thesis, I will derive several second order meth- ods: corrections for Perot, explicit least squares and a hybrid method. We derive discretization methods for advection and diffusion, study all methods in a simplified model in Matlab and determine their convergence behaviour. One of the second order velocity reconstruction meth- ods is also studied in the shallow water solver D-Flow FM. Second order velocity reconstruction turns out to be better than Perot’s method but it needs a second order advection method for the best results.
dc.description.sponsorshipUtrecht University
dc.format.extent2498962
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleSecond order velocity reconstruction on unstructured grids
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordscomputational fluid dynamics; velocity vector reconstruction; numerical methods; partial differential equations; Shallow Water Equations;
dc.subject.courseuuMathematical Sciences


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record