dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Frank, J.E. | |
dc.contributor.author | Visee, E.H. | |
dc.date.accessioned | 2016-07-25T17:01:08Z | |
dc.date.available | 2016-07-25T17:01:08Z | |
dc.date.issued | 2016 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/22953 | |
dc.description.abstract | The 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.sponsorship | Utrecht University | |
dc.format.extent | 2498962 | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | |
dc.title | Second order velocity reconstruction on unstructured grids | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | computational fluid dynamics; velocity vector reconstruction; numerical methods; partial differential equations; Shallow Water Equations; | |
dc.subject.courseuu | Mathematical Sciences | |