50 and reduced the 'cell size' slider to 0.5. When the 'Azimuth' angle is changed to 180 +- 90 (dawn or dusk), the points are widely dispersed, reducing the density and increasing the number of cells in the "sparse grid". Under these conditions, the number of cells was ~2000 and the Profiler time for 'Boundary' went up to a full minute or more each time 'Altitude' or 'Azimuth' was changed.
So I created this code to benchmark some alternatives and found two interesting things:
'Boundary' surface performance (v.1) is not linear. As the number of surfaces goes from 1000 to 2000, the time per surface goes up dramatically.
I tried three alternatives for creating a rectangular surface at a given point that are all substantially faster: v.2, v.3 and v.4. For 2000 points, v.4 is 150 times faster than v.1 !!!
Performance of v.2, v.3 and v.4 are similar and all scale up very well. To benchmark beyond 2000 points, I recommend disabling the VERY SLOW v.1. At 5000 points the 'Pop2D' component takes ~11.3 seconds but v.3 and v.4 take less than one second to generate 5000 surfaces!
See boundary_2015Nov19a.gh attached.
So I replaced the 'Rectangle' and 'Boundary' components in my sun reflection model with v.4 in focus_2015Nov19b.gh (also attached) and the performance is amazing.
I'm sure someone has mentioned this performance issue with 'Boundary' on the forum before but as with many things, I didn't realize what a major obstacle it can be until I discovered this for myself.…
Added by Joseph Oster at 9:16pm on November 19, 2015
grout lines, a tile surface and tile perimeter poly line). I then use that as a Mesh (from Rhino) in the second definition.
2. I can tile out the mesh surface and rotate all the tiles in 90 deg. increments.
To get what I wanted. I took the Mesh and have copied it in series to make a grid. I can then control the dimensions of the grid. X and Y extents. I can also rotate the tiles around their centers.
The spacing of the grid is set from an edge curve of the tile (or mesh). This sets the size of the squares in the grid themselves.
See definition, images and Rhino 4 File, to give the definitions a shot. I have labeled how to use them.
My question -- how can I randomly rotate squares in my grid? I would like the deg of rotation to be random and also which tiles they are.
Also how might I rotate (every other tile) for example? So that I can control the pattern more?
Thoughts?
Thanks!
…
ror when it comes to points on edges of the surface.I guess it is because normal vectors at a few of points are invalid. After all, because of these invalid points, an error message comes out which is saying " Runtime error (PythonException) : Unable to add polyline to document " and it results in no output. Please give me some help if you know how to handle this problem. I post a code below.Thanks in advance.
---------------------------------------------------------------------------------------------
import Rhinoimport rhinoscriptsyntax as rsimport mathimport ghpythonlib.components as gh
output_crvs = []
for pt1 in input_pt :output_pts = []newPt = pt1output_pts.append(newPt)
while len(output_pts) <= 100: newPt = outputpoint(base_srf, newPt, distance_factor) output_pts.append(newPt)
output_crv = rs.AddPolyline(output_pts)output_crvs.append(output_crv)A = output_crvs
def outputpoint(base_srf, input_pt, distance_factor):centre_point = rs.AddPoint(0,0,0)height_point = rs.AddPoint(0,0,10)
zaxis = rs.VectorAdd(centre_point, height_point)
cp_pt = rs.SurfaceClosestPoint(base_srf, input_pt)normal_vector = rs.SurfaceNormal(base_srf, cp_pt)drain_vector = rs.VectorCrossProduct(normal_vector, zaxis)
dvector2 = rs.VectorUnitize(drain_vector)dvector3 = rs.VectorRotate(dvector2, 90, normal_vector)
mpt = gh.DeconstructVector(distance_factor*dvector3)moved_pt = rs.PointAdd(input_pt, mpt)moved_uv = rs.SurfaceClosestPoint(base_srf, moved_pt)output_pt = rs.EvaluateSurface(base_srf, moved_uv[0], moved_uv[1])
return output_pt…
g from a list of 12 items I would find all the combinations taking just 4 at time.
I'd use a Stream gate that takes the indexes of the items and pass them to a list item in order to select just the items of the combination. Doing so I can choose a single combination of index at time to pass to the list item.
In this moment all the data come out from the first gate, all the others are empty.
If I pass these index to the list item it gives me an error (probably because of the data structure).
*long version*
I start from a list of 12 segments, all of them with the starting point in common and the ending point distributed regularly in the space. It's a quite simple starting point.
What I'm trying to achieve is to find all the possible spatial configurations made of 2, 3, 4 segments. I started with 2 segments so I've 12^2=144 possible configurations but just 4 different configurations that can intuitivelly be recognized (60°, 90°, 120°, 180°).
Doing the same with 3 segments generates 12^3=1728 configurations and I don't know how many different ones. With 4 segments I've got 12^4=20736 possible configurations.
As you can imagine many configurations are identical but just with a different orientation so at the end I'll have to parse geometrically the output to delete duplicates (I'll address this later on).
Please could you help me to figure out how to mix these segments in different configurations?
Thank you in advance.…
per bake commands to bake the connected geometry with the corresponding materials.
mxDiff is a simple diffuse material. Only reflectance color for 0° and 90° are exposed.
mxEmit is a basic emitter material. You can set light color, power and efficiacy of the emitter.
mxBasic is the most complex material for now. You can set all the properties of a single layer material including. Use this for transparent materials.
mList is your way if you don't want to create your own materials. This component returns a list of all the materials on the Maxwell scene manager. Make sure this is evaluated after you add your own materials if you want to see them in the list.…
nowledge, tools, materials and machines. The Clusters provide a focus for workshop participants working together within a common framework.
Clusters provide a forum for the exchange of ideas, processes and techniques and act as a catalyst for design resolution. The Workshop is made up of ten Clusters that respond in diverse ways to the sg2012 Challenge Material Intensities. The Call for Clusters is now open to proposals which respond in innovative ways to this year's challenge.
Deadline: September 19 2011
More information can be found here:
http://smartgeometry.org/index.php?option=com_content&view=article&id=129&Itemid=146
sg2012 takes place from 19-24 March 2012 at EMPAC (http://empac.rpi.edu/) and is hosted by Rensselaer Polytechnic Institute in Troy, upstate New York USA. The Workshop and Conference will be a gathering of the global community of innovators and pioneers in the fields of architecture, design and engineering.
The event will be in two parts: a four day Workshop 19-22 March, and a public conference beginning with Talkshop 23 March, followed by a Symposium 24 March. The event follows the format of the highly successful preceding events sg2010 Barcelona and sg2011 Copenhagen.
sg2012 Challenge Material Intensities
Simulation, Energy, Environment
Imagine the design space of architecture was no longer at the scale of rooms, walls and atria, but that of cells, grains and vapour droplets. Rather than the flow of people, services, or construction schedules, the focus becomes the flow of light, vapour, molecular vibrations and growth schedules: design from the inside out.
The sg2012 challenge, Material Intensities, is intended to dissolve our notion of the built environment as inert constructions enclosing physically sealed spaces. Spaces and boundaries are abundant with vibration, fluctuating intensities, shifting gradients and flows. The materials that define them are in a continual state of becoming: a dance of energy and information.Material potential is defined by multiple properties: acoustical, chemical, electrical, environmental, magnetic, manufacturing, mechanical, optical, radiological, sensorial, and thermal. The challenge for sg2012 Material Intensities is to consider material economy when creating environments, micro-climates and contexts congenial for social interaction, activities and organisation. This challenge calls for design innovation and dialogue between disciplines and responsibilities.sg2010 Working Prototypes strove to emancipate digital design from the hard drive by moving from the virtual to the actual in wrestling with the tangible world of physical fabrication. sg2011 Building the Invisible focused on informing digital design with real world data. sg2012 Material Intensities strives to energise our digital prototypes and infuse them with material behaviour. They have the potential to become rich simulations informed by the material dynamics, chemical composition, energy flows, force fields and environmental conditions that feed back into the design process.
More information can be found at http://www.smartgeometry.org…
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
…
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.
…