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Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/31896
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dc.contributor.advisorKevlahan, Nicholas-
dc.contributor.authorPatrascu, Lisa-
dc.date.accessioned2025-06-27T19:12:25Z-
dc.date.available2025-06-27T19:12:25Z-
dc.date.issued2025-
dc.identifier.urihttp://hdl.handle.net/11375/31896-
dc.description.abstractDue to the large and costly nature of ocean models, they are often limited in computational resolution - meaning accurate solvers must take into account boundary geometry at the subgrid-scale without explicitly modelling it. One method of characterizing subgrid-scale features is Brinkman penalization, where the solid/fluid interface is modelled as a porous medium, which yields many stability, accuracy, and efficiency benefits. In this work, we aim to extend the Brinkman method by testing a penalization that accounts for a position dependent tensorial permeability which will allow the model to experience friction in a directionally dependent fashion - implicitly preserving roughness that may be lost in a porosity-only approach. We simulate flow through solid/fluid and semi-permeable permeability-defined substructure configurations using the porous shallow water equations at both the subgrid-scale as well as the coarsened scale. Our findings indicate that coarsened simulations well approximate averaged fine-scale simulations in both velocity distribution and total kinetic energy. We coarsen subgrid-scale permeability using the periodic homogenization approach, which we find to be rigorous, fast, and accurate.en_US
dc.language.isoenen_US
dc.subjectupscalingen_US
dc.subjectporous shallow water equationsen_US
dc.titleUpscaling of the porous shallow water equations through the use of periodic homogenizationen_US
dc.typeThesisen_US
dc.contributor.departmentMathematics and Statisticsen_US
dc.description.degreetypeThesisen_US
dc.description.degreeMaster of Science (MSc)en_US
Appears in Collections:Open Access Dissertations and Theses

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Lisa Patrascu MSc Thesis8.04 MBAdobe PDFView/Open
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