Abstract

Turbulent flows over sparse and dense canopies exerting a similar drag force on the flow are investigated using Direct Numerical Simulations. The dense canopies are modelled using a homogeneous drag force, while for the sparse canopy, the geometry of the canopy elements is represented. It is found that on using the friction velocity based on the local shear at each height, the streamwise velocity fluctuations and the Reynolds stress within the sparse canopy are similar to those from a comparable smooth-wall case. In addition, when scaled with the local friction velocity, the intensity of the off-wall peak in the streamwise vorticity for sparse canopies also recovers a value similar to a smooth-wall. This indicates that the sparse canopy does not significantly disturb the near-wall turbulence cycle, but causes its rescaling to an intensity consistent with a lower friction velocity within the canopy. In comparison, the dense canopy is found to have a higher damping effect on the turbulent fluctuations. For the case of the sparse canopy, a peak in the spectral energy density of the wall-normal velocity, and Reynolds stress is observed, which may indicate the formation of Kelvin-Helmholtz-like instabilities. It is also found that a sparse canopy is better modelled by a homogeneous drag applied on the mean flow alone, and not the turbulent fluctuations.

Highlights

  • Canopy flows are ubiquitous in both natural and artificial settings

  • We explore the effect of the canopy parameters on the Kelvin–Helmholtz-like instability and propose simplified models based on linear stability analysis to capture them

  • We have investigated turbulent flows over canopies using direct numerical simulation

Read more

Summary

G Discretised gradient operator h Height of canopy

K Permeability tensor Kij (i, j)th element of the permeability tensor K kxkzEuu Premultiplied spectral energy density of streamwise fluctuations kxkzEuv Premultiplied spectral energy density of Reynolds shear stresses kxkzEvv Premultiplied spectral energy density of wall-normal fluctuations kxkzEww Premultiplied spectral energy density of spanwise fluctuations Kx Streamwise permeability kx Streamwise wavenumber xii. ∆z Spanwise grid resolution γk, ζk Runge–Kutta coefficients for the advective term ∇ Gradient operator κBr Equivalent permeability for substrate governed by Brinkman’s equation xiv κDa Equivalent permeability for substrate governed by Darcy’s equation λf Roughness frontal density λp Roughness plan area ratio λx Streamwise wavelength λz Spanwise wavelength ν Kinematic viscosity νT Turbulent eddy viscosity from Cess (1958). Subscripts (·)max Maximum value xv (·)k Runge–Kutta substep index Other Symbols (ˆ·) Variable in Fourier space ⟨(·)⟩ Quantity averaged in x and z (·) Quantity averaged in x, z and t ( ̃·) Element-induced component Acronyms / Abbreviations CFL Courant–Friedrichs–Lewy number DNS Direct Numerical Simulation K–H Kelvin–Helmholtz QS Quasi-streamwise

Introduction
Wall-bounded turbulent flows
Turbulent flows over canopies
Sparse canopies
Dense canopies
Linear stability analysis of canopy flows
Aims and organisation of the thesis
Temporal discretisation
Spatial discretisation
Validation
Grid independence
Drag-force methods
Representing permeable canopy elements
Homogenised-drag models
Numerical simulations
Canopy-resolving simulations
Drag-force representations
Canopy-resolving simulat1ions
Simulations with artificial forcing
Distributed mean-only drag simulation
Fixed mean-velocity profile simulation
Reynolds number effect
Effect of canopy parameters on the surrounding turbulence
Kelvin–Helmholtz-like instabilities over dense canopies
Effect of Reτ on the Kelvin–Helmholtz-like instability
Permeable-substrate model
Solution of Brinkman’s equation
Governing equations within the channel
Effect of varying canopy parameters on instability
Effect of canopy element inclination
Drag-force model
Governing equations
Comparison of viscous and inviscid analysis
Effect of canopy parameters on the instability
Comparison with DNS results
G20 Self-similar
Analysis on modelled velocity profiles
Findings
Conclusions and future work
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call