Dr Edward Skevington E.W.Skevington@hull.ac.uk
Postdoctoral Research Associate
Paper 4: Instabilities in downslope propagating gravity currents
Skevington, Edward W G; Lloyd, Charlie J; Atoufi, A; Doak, A
Authors
Dr Charlie Lloyd C.J.Lloyd@hull.ac.uk
Postdoctoral Research Assistant
A Atoufi
A Doak
Abstract
In this paper, the stability of a gravity current propagating down an inclined channel is explored. The gravity current is generated through a partial lock release. A local analysis of the flow about the lock is conducted using classical methodologies in two-layer shallow water theory, which is here developed to allow for drag and an angled channel. A global analysis of the flow is done by exploring the long-time forced steady state, using non-linear simulations solving the full three-dimensional Navier-Stokes equations. A steady state is forced through the inclusion of a so-called mask function. For sufficiently large slope angles, wave-like instabilities are observed on the density interface (pycnocline) of the generated gravity current. Spectral Proper-Orthogonal Decomposition of the time-series data provides evidence that instability arises via the interaction of two asymmetric vorticity waves, occurring on either side of a critical layer, akin to a spatially evolving Kelvin-Helmholtz instability. The work in this paper is exploratory in nature and motivates further investigation.
Citation
Skevington, E. W. G., Lloyd, C. J., Atoufi, A., & Doak, A. (2023, July). Paper 4: Instabilities in downslope propagating gravity currents. Presented at NFFDy Summer Programme on ‘Data in Fluids’, Cambridge
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | NFFDy Summer Programme on ‘Data in Fluids’ |
Start Date | Jul 10, 2023 |
End Date | Aug 18, 2023 |
Acceptance Date | Mar 15, 2024 |
Online Publication Date | Mar 26, 2024 |
Publication Date | Mar 26, 2024 |
Deposit Date | Mar 26, 2024 |
Publicly Available Date | Apr 4, 2024 |
Book Title | Proceedings of the NFFDy Summer Programme on ‘Data in Fluids’ |
DOI | https://doi.org/10.17863/CAM.107271 |
Public URL | https://hull-repository.worktribe.com/output/4612644 |
Publisher URL | https://www.repository.cam.ac.uk/handle/1810/366290 |
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Licence
http://creativecommons.org/licenses/by/4.0
Copyright Statement
© The Authors. This work is licensed under CC-BY 4.0
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