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Efficient numerical representation of the impacts of flexible plant reconfiguration on canopy posture and hydrodynamic drag
- Source :
- Prof. Nepf via Elizabeth Soergel
- Publication Year :
- 2019
- Publisher :
- Taylor & Francis, 2019.
-
Abstract
- This study considered a new approach for representing flexible canopies within large-eddy simulation that captures the impacts of reconfiguration on both the canopy posture and the canopy drag. The unsteady change in plant posture in response to the passage of turbulence structures (monami) was assessed using established steady-reconfiguration models responding to the unsteady velocity at the top of the canopy. The new drag and plant posture models improved the modelling of highly flexible canopies by more accurately capturing the observed vertical distribution of peak Reynolds stress. When compared to models that do not consider reconfiguration, or that represent it only through a velocity-dependent drag coefficient, the addition of a velocity-dependent canopy posture (unsteady reconfiguration) achieved up to a 56% reduction of the root mean square error for mean horizontal flow velocity and Reynolds stress profiles over the canopy. The RMSE for turbulence intensities and skewness were reduced up to 48% and 56%, respectively.
- Subjects :
- Canopy
reconfiguration
Computer science
Turbulence
turbulence
0208 environmental biotechnology
Representation (systemics)
Control reconfiguration
flexible vegetation
02 engineering and technology
distributed drag force
01 natural sciences
GeneralLiterature_MISCELLANEOUS
plant–flow interaction
010305 fluids & plasmas
020801 environmental engineering
Physics::Geophysics
Physics::Fluid Dynamics
Drag
Control theory
0103 physical sciences
Astrophysics::Solar and Stellar Astrophysics
monami
Water Science and Technology
Civil and Structural Engineering
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Prof. Nepf via Elizabeth Soergel
- Accession number :
- edsair.doi.dedup.....7e69683b949f26d745ef68c28aa48992
- Full Text :
- https://doi.org/10.6084/m9.figshare.11379150