323
Views
6
CrossRef citations to date
0
Altmetric
Articles

On the importance of the drag coefficient modelling in the double averaged Navier-Stokes equations for prediction of the roughness effects

ORCID Icon &
Pages 463-482 | Received 24 Apr 2020, Accepted 04 Aug 2020, Published online: 09 Sep 2020
 

ABSTRACT

The Discrete Element Method (DEM) for modelling of flow over rough walls is revised in the framework of the DANS (Double Averaged Navier-Stokes) equations, with a special focus on the drag term appearing in the mean momentum equation as a key to the robustness of the model. A set of 14 Direct Numerical Simulations (DNS) of channel flows with systematically varying roughness topographies is considered to assess the performances of different drag coefficient closures. While the standard model of Taylor et al. [J. Fluids Eng. 107 (1985), 251–257] is found not to be successful in reproducing the distribution of the drag force, a new model is derived. The new model along with the model recently proposed by Kuwata  et al. [Int. J. Heat Fluid Flow 77 (2019), 186–201] are employed for the solution of channel flow along with a simple mixing length model. Both models are shown to be successful in prediction of roughness function as long as a constant in the latter model is readjusted. The velocity profiles are also well recovered and in particular the roughness sublayers are accurately reproduced.

Acknowledgments

PF gratefully acknowledges financial support from German Research Foundation (DFG) through the project SFB/TRR 150 for this research.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

PF gratefully acknowledges financial support from German Research Foundation (DFG) through the project SFB/TRR 150 for this research.

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 146.00 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.