82
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Investigation of shallow mixing layers by BGK finite volume model

&
Pages 523-537 | Received 14 May 2008, Accepted 29 May 2008, Published online: 24 Jul 2008
 

Abstract

Turbulent shallow mixing layers and their associated vortical structures are ubiquitous in rivers, estuaries and coasts. Examples of these flows can be found in compound/composite channels, at the confluence of two rivers, at harbour entrances and at groyne fields. A finite volume 2D model, based on the averaging of the 3D shallow water equations with respect to depth and in which the numerical fluxes are obtained from the Bhatnagar–Gross–Krook (BGK) Boltzmann equation, is applied to shallow mixing layers for which experimental results are available. This model is hereafter referred to as the BGK model or BGK scheme. The BGK scheme is explicit, second order in time and space and conserves both mass and momentum. The BGK relaxation time is locally evaluated from the classical turbulence model of Smagorinsky. The BGK model accurately represents the mean flow field such as mean velocity profile, mean spread of the mixing layer, mean position of the mixing layer centreline and mean surface water profile. In addition, the Kelvin–Helmholtz (KH) instability including inception, vortex roll up, vortex growth by pairing and the eventual decay of the vortices by bed shear is well represented by the model. On the other hand, the magnitude of the turbulence intensity is over-predicted by the shallow water model. This discrepancy is partly due to the fact that the turbulence forcing assumed may not represent the actual random perturbations that may exist in the laboratory experiments and partly due to the inability of the depth-averaged shallow water equations to allow for the redistribution of turbulent energy along the vertical direction, since these governing equations do not model the 3D turbulence. Thus, the depth-averaged shallow water equations are well suited for investigating the KH stability and for predicting mean flow field including velocity profiles and transversal mixing of mass momentum in shallow environments. Accurate prediction of turbulence statistics would require resolving the small 3D scales with respect to water depth.

Acknowledgements

The authors wish to thank the Research Grants Council of Hong Kong for financial support under Project HKUST6227/04E and Project 613306.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 473.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.