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Efficient numerical representation of the impacts of flexible plant reconfiguration on canopy posture and hydrodynamic drag
Journal of Hydraulic Research ( IF 1.7 ) Pub Date : 2019-11-29 , DOI: 10.1080/00221686.2019.1671511
Amir Mehdi Razmi 1, 2 , Marcelo Chamecki 3 , Heidi Margaret Nepf 4
Affiliation  

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.

中文翻译:

灵活植物重构对冠层姿态和水动力阻力影响的有效数值表示

本研究考虑了一种在大涡模拟中表示柔性顶篷的新方法,该方法捕捉了重新配置对顶篷姿态和顶篷阻力的影响。响应湍流结构(monami)通过的植物姿态的不稳定变化是使用已建立的响应于冠层顶部不稳定速度的稳定重构模型来评估的。新的阻力和植物姿态模型通过更准确地捕捉观察到的峰值雷诺应力的垂直分布,改进了高度灵活的檐篷的建模。与不考虑重新配置或仅通过与速度相关的阻力系数表示的模型相比,添加与速度相关的冠层姿态(非定常重构)可将冠层上的平均水平流速和雷诺应力分布的均方根误差降低多达 56%。湍流强度和偏度的 RMSE 分别降低了 48% 和 56%。
更新日期:2019-11-29
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