<I had put my message in the wrong category, hope it is better here!>
I am a still looking for a consistent method to derive the f parameter values for a tree (d=0, seems consistent).
Reading the report: https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=928986
how does formula (7) translated into the d and f parameters of Darcy-Forchheimer?
Formula (7) is: dP=rho/2Cdryankappau^2L
<Cdryan is the Cd in above artcile ~ 2.8>
Looking here:
How to Predict Darcy and Forchheimer Coefficients :
dP = rho/2fu^2*L (formula below formula (4))
Thus fryan looks to be Cdryan*kappa.
So with a tree (say Robin Red Holly):
fryan = 2.8*4.3 = 12.0
Looking here:
Surface Roughness & Porosity | Advanced Modelling PWC | SimScale
This document details multiple ways of modeling porous media and surface roughness under advanced modelling in PWC analysis using SimScale.
Est. reading time: 8 minutes
dp/dx=-rhoLAI/hCdsim*|u|*u
From this formula f would be
fsim = 2LAI/HCdsim
<Cdsim is SIMSCALE’s Cd ~ 0.2; H is height of tree; LAI Leaf Area Index>
So for an oak tree of 15.5m height and LAI is 5.2:
fsim=25.2/15.50.2=0.134
<I also see this when using: Readyuse-Perforated Plate.xlsx - Google Sheets )
So this is a factor of 100 between the two.
Possible explanation of difference:
a) The Cdsim is around 0.2 (table 4 in Surface Roughness & Porosity | Advanced Modelling PWC | SimScale)
While Cdryan is around 2.8 (chapter 5).
b) In SIMSCALE’s formula there is H of the object (H)!
c) LAI (around 3 to 5.2) is quite close to kappa (around 2 to 4.3)
d) I must be doing/understand something wrong.
e) When using the low values of fsim (=0.134) in simulation, I get IMHO quite (too?) porous objects. I did not yet try the fryan=12 (and compare that with the results of the tree: trees by rtir | SimScale , as that tree matches quite well with a real tree: Atmosphere | Free Full-Text | The Influence of Wind-Induced Response in Urban Trees on the Surrounding Flow Field )
Any help to get a better understanding on my side, is welcome. Thanks.