Estimating drag coefficient for arrays of rigid cylinders representing emergent vegetation

Flow resistance due to vegetation is of interest for a wide variety of hydraulic engineering applications. This note evaluates several practical engineering functions for estimating bulk drag coefficient ( ) for arrays of rigid cylinders, which are commonly used to represent emergent vegetation. Man...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Journal of hydraulic research Ročník 57; číslo 4; s. 591 - 597
Hlavní autori: Sonnenwald, Fred, Stovin, Virginia, Guymer, Ian
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Madrid Taylor & Francis 04.07.2019
Taylor & Francis Ltd
Predmet:
Arrays
Cylinder arrays
Cylinders
Drag coefficient
Drag coefficients
Emergent aquatic plants
Emergent vegetation
Estimates
estimating drag
Estimation
Experimental data
Flow resistance
Hydraulic engineering
Parameterization
porous media
vegetated flows
Vegetation
ISSN:0022-1686, 1814-2079
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:Flow resistance due to vegetation is of interest for a wide variety of hydraulic engineering applications. This note evaluates several practical engineering functions for estimating bulk drag coefficient ( ) for arrays of rigid cylinders, which are commonly used to represent emergent vegetation. Many of the evaluated functions are based on an Ergun-derived expression that relates to two coefficients, describing viscous and inertial effects. A re-parametrization of the Ergun coefficients based on cylinder diameter (d) and solid volume fraction (φ) is presented. Estimates of are compared to a range of experimental data from previous studies. All functions reasonably estimate at low φ and high cylinder Reynolds numbers ( ). At higher φ they typically underestimate . Estimates of utilizing the re-parametrization presented here match the experimental data better than estimates of made using the other functions evaluated, particularly at low φ and low .
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0022-1686
1814-2079
DOI:10.1080/00221686.2018.1494050