z-logo
Premium
Representing the bed roughness of coarse‐grained streams in computational fluid dynamics
Author(s) -
Carney Shaun K.,
Bledsoe Brian P.,
Gessler Daniel
Publication year - 2006
Publication title -
earth surface processes and landforms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.294
H-Index - 127
eISSN - 1096-9837
pISSN - 0197-9337
DOI - 10.1002/esp.1274
Subject(s) - computational fluid dynamics , cobble , turbulence , surface finish , geology , mechanics , drag , hydraulic roughness , flow (mathematics) , hydraulics , turbulence kinetic energy , flow conditions , scale (ratio) , geotechnical engineering , engineering , physics , mechanical engineering , thermodynamics , ecology , quantum mechanics , habitat , biology
Computational fluid dynamics (CFD) applications are increasingly utilized for modelling complex flow patterns in natural streams and rivers. Although CFD has been successfully implemented to model many complex flow situations in natural stream settings, adequately characterizing the effects of gravel and cobble beds on flow hydraulics in CFD is a difficult challenge due to the scale of roughness lengths and the inadequacy of traditional roughness representations to characterize flow profiles in situations with large roughness elements. An alternative method of representing gravel and cobble beds is presented. Appropriate drag forces associated with different grain sizes are computed and included in the momentum equations to account for the influence of a hydraulically rough bed. Comparisons with field measurements reveal reasonable agreement between measured and modelled profiles of spatially averaged velocity and turbulent kinetic energy, and model fidelity to the non‐logarithmic behaviour of the velocity profiles. The novel method of representing coarse beds expands the utility of CFD for investigating physical processes in natural channels with large bed roughness. Copyright © 2005 John Wiley & Sons, Ltd.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here