The Performance of RANS Models for Prediction of Flows in Meandering Channels

Article


Ghani, Usman, Marriott, M. and Wormleaton, Peter 2013. The Performance of RANS Models for Prediction of Flows in Meandering Channels. Life Sciences Journal. 10 (10s), pp. 121-132.
AuthorsGhani, Usman, Marriott, M. and Wormleaton, Peter
Abstract

This research work presents the prediction capability of Reynolds Averaged Navior-Stoke,s equations
based k- & k- turbulence models. Two solvers (SSIIM and FLUENT) were used in this research work. The
performance of the two turbulence models was gauged for one flow case. Mesh dependency check was also done.
Once it was proved that both the models produce approximately same results, the k- model was then tested for its
suitability for studying various flow aspects of meandering channels. Two different meandering channel geometries
with the same sinuosity (centre line planform geometry), main channel meander width/floodplain width ratio and
same main channel aspect ratio were used. However main channel width varied in two cases. Both bankfull and
overbank flows were considered. The bend radius to main channel width ratio (r/bc) of the wider main channel was
1.0 whereas it was 1.8 for narrow channel. The model predicted the depth averaged velocities (DAV), water surface
profiles, velocity vectors in planforms at different levels with good accuracy. It captured all the salient features of
the flow for inbank, low overbank and high overbank flows. From this study it can be concluded that k- model
can be used with confidence in these types of meandering channels.

Keywordsmeandering channels; overbank flows; Navior-Stokes equations
JournalLife Sciences Journal
Journal citation10 (10s), pp. 121-132
ISSN1097-8135
Year2013
Publisher's version
License
CC BY-ND
Publication dates
PrintOct 2013
Publication process dates
Deposited04 Oct 2013
Permalink -

https://repository.uel.ac.uk/item/85w2v

Download files


Publisher's version
  • 127
    total views
  • 187
    total downloads
  • 1
    views this month
  • 2
    downloads this month

Export as

Related outputs

Geospatial water quality assessment system for the Sg. Buloh river basin in Malaysia
Rowshon, M.K., Mbaruk, M.M., Marriott, M., Amin, M.S.M., Ahsan, Amimul and Loh, Eric W.K. 2014. Geospatial water quality assessment system for the Sg. Buloh river basin in Malaysia. International Journal of Water. 8 (4), pp. 401-421.
Short duration rainfall in the Iranian province of Sistan and Balochistan
Zainudini, M.A. and Marriott, M. 2010. Short duration rainfall in the Iranian province of Sistan and Balochistan. Proceedings of Advances in Computing and Technology, (AC&T) The School of Computing and Technology 5th Annual Conference, University of East London, pp. 157-162
Hydraulic roughness – links between Manning’s coefficient, Nikuradse’s equivalent sand roughness and bed grain size
Marriott, M. and Jayaratne, R. 2010. Hydraulic roughness – links between Manning’s coefficient, Nikuradse’s equivalent sand roughness and bed grain size. Advances in Computing and Technology 2010. University of East London, London London University of East London, School of Architecture Computing and Engineering. pp. 27-32
Hydraulic design charts for elliptical pipes.
Marriott, M. and Uddin, M.S. 2009. Hydraulic design charts for elliptical pipes. Proceedings of Advances in Computing and Technology. (AC&T) The School of Computing and Technology 4th Annual Conference University of East London pp. 120-125
Reliability of river control structures
Marriott, M. and Andrews, I.G. 2007. Reliability of river control structures. Proceedings of Advances in Computing and Technology. (AC&T) The School of Computing and Technology 2nd Annual Conference University of East London pp. 184-191
A Review of Rainfall Data from the Iranian Province of Sistan and Balochistan
Marriott, M. and Zainudini, M.A. 2006. A Review of Rainfall Data from the Iranian Province of Sistan and Balochistan. Proceedings of the AC&T, pp. 113-118
Modelling of water demand in distribution networks
Marriott, M. 2007. Modelling of water demand in distribution networks. Urban Water Journal. 4 (4), pp. 283-286.