curve B
B1--------------------------B0
You define distances:
|A0 B0|
|A0 B1|
|A1 B0|
|A1 B1|
And find the smallest one. Then, based on the number of the shortest distance:
Flip A, Leave B
Flip A, Flip B
Leave A, Leave B
Leave A, Flip B
A more advanced metric would be to create all 4 blends, then pick the one that is shortest. Maybe that works better for what you want, maybe not.
--
David Rutten
david@mcneel.com…
Added by David Rutten at 8:09am on February 11, 2014
exact formula is inside /lib/skybright.cal if this can help you to find the name.
{ RCSid: $Id$ } { Sky brightness function for sunny and cloudy skies.
Additional arguments required for calculation of skybright:
A1 - 1 for CIE clear, 2 for CIE overcast, 3 for uniform, 4 for CIE intermediate A2 - zenith brightness A3 - ground plane brightness A4 - normalization factor based on sun direction A5,A6,A7 - sun direction }
cosgamma = Dx*A5 + Dy*A6 + Dz*A7;
gamma = Acos(cosgamma); { angle from sun to this point in sky }
zt = Acos(A7); { angle from zenith to sun }
eta = Acos(Dz); { angle from zenith to this point in sky }
wmean(a, x, b, y) : (a*x + b*y) / (a + b);
skybr = wmean((Dz+1.01)^10, select(A1, sunnysky, cloudysky, unifsky, intersky), (Dz+1.01)^-10, A3);
sunnysky = A2 * (.91 + 10*exp(-3*gamma) + .45*cosgamma*cosgamma) * if( Dz - .01, 1.0 - exp(-.32/Dz), 1.0) / A4;
cloudysky = A2 * (1 + 2*Dz)/3;
unifsky = A2;
intersky = A2 * ( (1.35*sin(5.631-3.59*eta)+3.12)*sin(4.396-2.6*zt) + 6.37 - eta ) / 2.326 * exp(gamma*-.563*((2.629-eta)*(1.562-zt)+.812)) / A4;
…
t it is rounded to 25, 100, 75. I've figured out the rounding portion, but when I plug the resulting list back into the custom preview, it doesn't recognize the data. I'm guessing it is because my rounded list is in curly brackets, whereas the unrounded data straight from the image sampler is not. How can I process this to remove the curly brackets?
Thanks,
Ryan
…
Added by Ryan Dirks at 5:20pm on September 18, 2014
create clusters and have as much computing power as you like. That way I've done some complex simulations with more than a hundred cores. There are some good explanations for creating clusters and running OF on the Amazon cloud in general on this site: https://cfd.direct/cloud/aws/
Cheers
Albert…
not passed on which makes the simulation diverge. I have already posted on this in github (https://github.com/mostaphaRoudsari/Butterfly/issues/54) it should be fixed soon.
In the meantime I was wondering if you can help me validate this. In the file you attached here your initial conditions were:
Uref = 2m/s
Zref = 10m
z0 = 0.005
Your initial conditions file has the following k and epsilon values:
k = 0.039
epsilon = 0.031
Could you please try manually changing them to the following values and re-running the case? You would have to run it manually as well so that BF won't overwrite your changes.
k = 0.039
epsilon = 0.0003
Thank you so much for testing!
Kind regards,
Theodore.
…