mmon.sdk ,but i herad its used in rhino5.
or example: the book grasshopper primer second edition ,page 98
i dont know what is the "doc.absolutetolerance" and where i can find about it....i dont kow it should be a class or a fuction,i tried to search the rhino4. net sdk,i cant find it ....maybe its my searching problem.
but according to the grasshopper primer, i indeed know many kind of Variables,many functions,basic structure, loops, and conditions,and what is onutil.xxxx and rhutil.xxxx.but i found all this imformation is not helpful enough to me when reading the examples downloaded from many disscussions.when i found a new variable or new funcion,i dont know where i can find the introduction about them,such as the upper coding:"doc.absolutetolerance".i tried to use the auto complete such as
dim xxxx as oncurve
xxxx. to find the class oncurve's funtions and variables ,but its too uneffcient.
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And,i dont know the difference between the components vb script and dotnet vb script....
because i found when i type onutil. the auto complete has noting appear...and the variables declaring is not the same. in vb script dim xxxx as curve but in dotnet vb script its dim xxxx as oncurve,which is the same as the grasshopper primer teached me...but i guess.... the vb script component is just like the rhinoscript(not the same),and the dotnet vb script is more powerful than it. am i right?
------------------------------------------------
at last i dont know these.
Imports System Imports System.IO Imports System.Xml Imports System.Data Imports System.Drawing Imports System.Reflection Imports System.Collections Imports System.Windows.Forms Imports Microsoft.VisualBasic Imports System.Collections.Generic Imports System.Runtime.InteropServices
when i search google about them,the introduction about them is too professinal for me to understand......i just want to know what i can do by using them ...
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sorry for disturbing you so much!!!
best regards!
yours truly
YUAN.T
…
radiance parameters to get rid of blotching. To add another level of complexity to my problem, I am running simulations with a translucent material with the following properties: void trans testTrans
0
0
7 0.478 0.478 0.478 0.000 0.010 0.178 0.635
I have had no issues with the renderings when I use clear glazing, as seen on this image:
However the blotching-issue becomes very noticeable when I introduce translucent glazing into the scene:
For the two above cases I used the following parameters:
_av_ is set to 0
xScale is set to 2
_ab_ is set to 6
_dc_ is set to 0.5
_aa_ is set to 0.2
_ad_ is set to 2048
_st_ is set to 0.5
yScale is set to 2
_ps_ is set to 4
_ar_ is set to 64
_as_ is set to 2048
_ds_ is set to 0.25
_pt_ is set to 0.1
_dr_ is set to 1
_pj_ is set to 0.9
_dp_ is set to 256
_dt_ is set to 0.25
_lr_ is set to 6
_dj_ is set to 0.5
_lw_ is set to 0.01
I ran another test with increased Radiance parameters and got the following output:
with the following parameters:
_av_ is set to 0
xScale is set to 6
_ab_ is set to 6
_dc_ is set to 0.75
_aa_ is set to 0.1
_ad_ is set to 4096
_st_ is set to 0.15
yScale is set to 6
_ps_ is set to 2
_ar_ is set to 128
_as_ is set to 4096
_ds_ is set to 0.05
_pt_ is set to 0.05
_dr_ is set to 3
_pj_ is set to 0.9
_dp_ is set to 512
_dt_ is set to 0.15
_lr_ is set to 8
_dj_ is set to 0.7
_lw_ is set to 0.005
Although the second blotching case is much better than the first, it is still very bad for hours when the sun is lower in the sky. The above images are rendered for a clear sky at 18:00 in Germany in a West-facing room.
Sorry for the long post! Can someone help? Kind regards, Örn
…
lla progettazione parametrica e le tecniche di modellazione algoritmica per la generazione di forme complesse
___________________________________________________________________________________
luogo:
Sala meeting Hotel Mercure Milano Centro Piazza Oberdan 12 – 20129 MILANO
Scadenza iscrizioni: 12 Novembre 2011 – ore 15.00
___________________________________________________________________________________
info e prenotazioni:
Le Penseur (coordinamento formazione)
info@lepenseur.it
081 564 21 84
347 548 71 78
quote di partecipazione e programma (formato PDF)
ulteriori informazioni sui corsi PLUG > IT
___________________________________________________________________________________
PROGRAMMA DEL CORSO
GIORNO_01
10.00 – 10.30: presentazione workshop
10.30 – 11.30: introduzione alla progettazione parametrica: teoria, esempi, casi studio
11.30 – 13.00: Grasshopper: concetti base, logica algoritmica, interfaccia grafica
13.00 – 14.00: break | lunch
14.00 – 16.00: nozioni fondamentali: componenti, connessioni, data flow
16.00 – 18.00: esercitazione
GIORNO_02
10.00 – 12.00: funzioni matematiche e logiche, serie, gestione dei dati
12.00 – 15.00: analisi e definizione di curve e superfici
GIORNO_03
10.00 – 12.00: definizione di griglie e pattern complessi
12.00 – 13.00: trasformazioni geometriche, paneling
13.00 – 14.00: break | lunch
14.00 – 16.00: esercitazione
16.00 – 18.00: attrattori, image sampler
GIORNO_04
10.00 – 13.00: data tree: gestione di dati complessi
13.00 – 14.00: break | lunch
14.00 – 15.00: digital fabrication: teoria ed esempi
15.00 – 18.00: nesting: scomposizione di oggetti tridimensionali in sezioni e posizionamento su piani di taglio per macchine a controllo numerico CNC…
d the fact that one pipe goes out and one goes in, that the surface normal direction is opposite for the two surfaces? Based on an earlier thread, you should know why by now. The two curves have opposite directions (again!); see the white arrows using Rhino 'Analyze | Direction'?
As before, you can fix that by flipping one curve to match the other. HOWEVER, you connected your curves directly to the 'Divide' components instead of using 'Crv' geometry params - bad form. And as before, you "fixed it" by reversing the list of starting points ('S' input to 'BiArc'). Better like this - 'Crv' params are internalized, no need for Rhino file:
Well, well! That didn't fix the opposite surface normals after all! Trust me, though, using geometry params and being conscious about matching curve directions is "best practice". But I haven't lofted 'BiArc' curves for awhile, it's late and I want to move on. OH! I just noticed that you reversed the 'Z' direction for one half of the 'BiArc' - that explains it:
Moving on... You've basically got it, though I would do it differently - same result, like this:
I haven't really explained surface normal vectors - can you figure it out from here? One more little wrinkle (Normal_2017Mar17b.gh):
…
Added by Joseph Oster at 12:03am on March 18, 2017
the space that you are designing and your design intent. Just think about an atrium vs a museum. And now think of the atrium in two different climate zones. As a [lighting] designer you make the decision on how do you want the space to be, how the climate is and then try to take advantage of skylight and/or direct sunlight to achieve your design goals.
2. Yes. There is a watchTheSky component next to sky types which let you visualize the sky. There is also an example file that you can check.
3. This one again depends on your model. For your model I would suggest a minimum number of 4 for your final analysis. -ab is only one of the parameters. Check this slides by John Mardaljevic if you want to have a better understanding of radiance parameters and their effect on the results.
I also added the link to "Tutorial on the Use of Daysim Simulations for Sustainable Design" by Christoph Reinhart to teaching materials. I encourage you to at least read chapters 1 and 2 of the tutorial. Check pages 25 and 27 have two examples about selecting the parameters.
Great questions. Keep them coming.
Mostapha…
the space that you are designing and your design intent. Just think about an atrium vs a museum. And now think of the atrium in two different climate zones. As a [lighting] designer you make the decision on how do you want the space to be, how the climate is and then try to take advantage of skylight and/or direct sunlight to achieve your design goals.
2. Yes. There is a watchTheSky component next to sky types which let you visualize the sky. There is also an example file that you can check.
3. This one again depends on your model. For your model I would suggest a minimum number of 4 for your final analysis. -ab is only one of the parameters. Check this slides by John Mardaljevic if you want to have a better understanding of radiance parameters and their effect on the results.
I also added the link to "Tutorial on the Use of Daysim Simulations for Sustainable Design" by Christoph Reinhart to teaching materials. I encourage you to at least read chapters 1 and 2 of the tutorial. Check pages 25 and 27 have two examples about selecting the parameters.
Great questions. Keep them coming.
Mostapha…
evel in which each final branch contains a list of one number from each list in all its variations with the other two lists.
12
AB
xy
Becomes eight possible combinations:
1Ax
1Ay
1Bx
1By
2Ax
2Ay
2Bx
2By
Either I could immediately break into 8 branches or branch twice from 2 items to 4 items then from those 4 items to 8 final items. I keep trying grafting with all manner of tree components and *never* obtain a simple dual branching fractal tree structure. I barely even need a tree actually, but I'd prefer each final branch to contain a list I can pull each final value individual value out of rather than dealing with string extraction. This is all to eventually plug all these variations into a parametric mesh model that now uses three sliders, and Python script also to bake them all as OBJ files.
Crucially I also need to obtain the numbers to use as part of my multiply exported OBJ files. I can so far only get a single range to export as a series of OBJ files automatically but not the whole three list array of them.
…
ace when I start running Galapagos/Octopus (below is "room orientation optimization" shared at http://hydrashare.github.io/hydra/viewer?owner=mostaphaRoudsari&fork=hydra_1&id=Room_Orientation_Optimization&slide=0&scale=1&offset=0,0) It may take quite some time to see some results. That's fine for the above simulation. But my real challenge is, when I am going to optimize room dimension with respect to ASE and sDA calculations, either Galapagos or Octopus goes wildly and never come up with a solution. I believe the time-consuming calculation, especially sDA with higher -ab numbers, trigger the lag a lot? Any suggestion/trick to improve it?
Most importantly, based on your experience, for example to optimize window/exterior shades sizes and achieve ASE<10% and sDA>55% (LEED v.4 requirements), Octopus (due to its capacity of multiple objectives) is the only choice? Any other approaches within grasshopper?
Many thank!
Cheney
…
rce of power.
A fortified emplacement for heavy guns.
Synonyms
accumulator
And use component:
com·po·nent
/kəmˈpōnənt/
Noun
A part or element of a larger whole, esp. a part of a machine or vehicle.
Adjective
Constituting part of a larger whole; constituent.
Synonyms
noun.
constituent - element - ingredient - part
adjective.
constituent - constitutive
…
n to finding a concave contour polyline (which is in general what you need). In your case each contour section contains a series of points of which you do not know the order and you need to sort them so that by connecting them you find the contour. This is fairly easy to do when the contour is convex (basically you find the average point then calculate the vectors from the average to the points and sort the vectors by angle - sorting the points by the same angle gives you the right order for the contour), but generally impossible to find uniquely when the contour is concave (PS: convex means that, for ANY 2 points inside the figure, a straight line connecting them doesn't intersect with the border curve - i.e. circles, ellipses, rectangles, triangles - concave shapes are a star, a crescent moon, an arrow, a boomerang, etc.).
The problem goes like this: given a generic list of points:
Each of these configurations for a perimeter equally fits the above:
Laurent already went for another possible solution, the stochastic approach (by subdividing the connecting lines), I slightly adjusted a few things over his solution:
namely, I added a rounding option to adjust for some weird tolerance issues (some points that should be at Y=80 were at Y=79.99998 or something) and a more straightforward solution to group them by section plane using sets logic. This, coupled with alpha shape, gives a quite good approach, still very coarse in terms of results but that depends on the sampling resolution of the field (i.e. number of height sections in which you calculate the metaballs) and sampling length of the connecting lines.
Definition attached.…