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http://hdl.handle.net/11375/31896
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kevlahan, Nicholas | - |
dc.contributor.author | Patrascu, Lisa | - |
dc.date.accessioned | 2025-06-27T19:12:25Z | - |
dc.date.available | 2025-06-27T19:12:25Z | - |
dc.date.issued | 2025 | - |
dc.identifier.uri | http://hdl.handle.net/11375/31896 | - |
dc.description.abstract | Due 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.iso | en | en_US |
dc.subject | upscaling | en_US |
dc.subject | porous shallow water equations | en_US |
dc.title | Upscaling of the porous shallow water equations through the use of periodic homogenization | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Mathematics and Statistics | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Science (MSc) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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patrascu_elisabeth_finalsubmission202506_msc.pdf | Lisa Patrascu MSc Thesis | 8.04 MB | Adobe PDF | View/Open |
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