Efficient numerical representation of the impacts of flexible plant reconfiguration on canopy posture and hydrodynamic drag
Name
Razmi.Chamecki.Nepf.2019.inpress.pdf
Description
Accepted version
Size
2.06 MB
Format
Adobe PDF
Checksum (MD5)
cd96b5bf145ce73502ace9107da5e559
Author(s)
Razmi, Amir Mehdi
Chamecki, Marcelo
Nepf, Heidi
Date Issued
November 2019
Journal
Journal of Hydraulic Research
Publisher
Informa UK Limited
Citation
Razmi, Amir Mehdi et al. "Efficient numerical representation of the impacts of flexible plant reconfiguration on canopy posture and hydrodynamic drag." Journal of Hydraulic Research (November 2019): dx.doi.org/10.1080/00221686.2019.1671511 © 2019 International Association for Hydro-Environment Engineering and Research
Version
Author's final manuscript
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.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1080/00221686.2019.1671511
