nerc.ac.uk

Extension of k-ω turbulence closure to two-phase sediment transport modelling: application to oscillatory sheet flows

Amoudry, Laurent O.. 2014 Extension of k-ω turbulence closure to two-phase sediment transport modelling: application to oscillatory sheet flows. Advances in Water Resources, 72. 110-121. 10.1016/j.advwatres.2014.07.006

Before downloading, please read NORA policies.
[thumbnail of (awaiting publisher statement)] Text ((awaiting publisher statement))
1-s2.0-S0309170814001407-main_Amoudry.pdf - Published Version
Restricted to NORA staff only
Available under License Creative Commons Attribution.

Download (2MB)

Abstract/Summary

A number of turbulence closure schemes can be employed to numerically investigate near-bed wave boundary layer and sediment transport problems. We present an extension of the widely used k-ω turbulence model to two-phase sediment transport modelling. In this model, a transport equation is solved for the turbulence specific dissipation rate ω. For two-phase models, this equation is similar to the one for clear fluids with an additional term due to inter-phase interaction terms, which we will discuss. The new k-ω model is then applied to wave and current sheet flows. We compare the numerical results from the k-ω model and from an existing k-ε model against sheet flow experimental data collected in oscillatory water tunnels. Both models provide broadly similar numerical results. Nevertheless, the k-ω and k-ε models display different behaviour around flow reversal, and neither is able to fully reproduce observed suspension peak at flow reversal.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1016/j.advwatres.2014.07.006
ISSN: 03091708
Additional Keywords: Two-phase flow; Sediment transport; Turbulence closure; Sheet flows; Modelling
Date made live: 23 Jul 2014 09:11 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/507886

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...