r "virtual partitions" as follows:
What I mean "air walls" here, is derived from the description of the E+ documentation with the header of "Air wall, Open air connection between zones". (Page 17, http://apps1.eere.energy.gov/buildings/energyplus/pdfs/tips_and_tricks_using_energyplus.pdf)
As I understand, the term "air wall" used in E+ here refers to a description of something like "boundary condition" between adjacent interzone heat transfer surfaces, but not a kind of "construction or material" (like air space resistance or air gaps within a wall/double glazing window).
The main purpose of introducing the "air wall", is to simulate or approximate the airflow/convection/natural ventilation effect between multiple thermal zones which are connected by a large opening.
In my previous tests, using HBzones and GB, I managed to create the gbXML file which can be successfully imported to DB (without assigning any constructions within HB). And the adjacency condition can be recognized automatically by DB, even when I did not use the "Solve adjacencies" component in HB - shared surfaces between multiple thermal zones are recognized automatically by BD as "internal - partition"(which are standard partitions, but not virtual partitions).
In order to create/approximate "virtual partition", I need to manually draw a "hole" in the standard partition surface (fig.1&2). Again, the reason why we want to use "virtual partitions"(or "air wall") is that it allows airflow between multiple thermal zones which are connected by large openings and we could get different temperature of the each subdivided thermal zone which compose a large thermal zone.
My question is, if there is a possible way to simulate/approximate this kind of "virtual partitions"(or "air wall") in HBzones or in GB? If so, I would like to test if DB recognizes it or not. Actually, we expect that there is no need to involve any manual operations (like drawing a "hole" in the standard partition surface) in DB, due to an automatic optimization loop.
Thank you!
Best,
Ding
fig.1
fig.2
…
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The sg2012 Workshop will be organised around Clusters. Clusters are hubs of expertise. They comprise of people, knowledge, 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.
Applicants to the sg2012 Workshop will select their preferred cluster from the following:
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The application process will close on January 15th, 2012.
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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.
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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.
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Added by Shane Burger at 12:29pm on December 13, 2011
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.…
y case. Here's the thing. There is this subject at my university where we are assigned a famous building and we need to recreate it in Rhino. We're given bonus points if we manage to code some interesting part of it in Grasshopper. So far so good, I'm doing pretty well with Rhino and by far I am happy with the results I've achieved with modelling the given building. Harbin Opera House by MAD is the building I'm trying to model. There is one particular surface:I've built this surface in Rhino and now I'm trying to map pyramids on it. Not only have the pyramids to be different in height, but their height has to be dependent on the curvature of the surface. I'm getting some results but it seems to be exactly the opposite of what I need. I want to have higher/spikier pyramids where my curvature analysis shows red/blue and lower/slopier pyramids where the analysis shows green colour.At the moment I'm not really sure how the code I have works, but it seems that the height of the pyramids is dependent on a distance from a point in space to the projection of the cap-point of a pyramid.Here're my Rhino and Grasshopper files:surface1.3dm
surface1.ghI'd be grateful if someone of you guys could handle my problem. I've got one more issue with this surface, but once I get a solution to the first 1 will let know what the second one is.Thanks in advance and keep well!…
ther math and logic. i can usually conceptualise what i want to do and cobble some semi working thing together but don't know which components to use and how to patch it. so i'm super happy to have someone who knows what he's doing to find this interesting.
and i'm glad you mention the fanned frets again, there is one input parameter that's still missing for the multiscale frets to be fully parametric, it's the angle of the nut or which fret should be straight. it depends a bit on personal preferences and playing posture what is more comfortable. so being able to adjust this easily would be cool. again i have no idea how the maths for that work or if you can just rotate each fret the same amount around it's middle point. The input either as fret number (for the straight fret) or as a simple slider from bridge to nut should do as input setting.
Here are the two extremes and the middle ground:
i've been thinkin today while analysing your patches and cleaning up my mess what exactly the monster should do.
Here are the input parameters needed, i think it's the complete list
scale length low E string
scale length high e string
fret angle/straight fret
string width at nut
string width at bridge
number of frets
fretboard overhang at nut (distance from string to fretboard bounds)
fretboard overhang at last fret
string gauges
string tensions
fretboard radius at nut (for compound radius fretboard radius at bridge is calculated with the stewmac formula)
fretwire crown width
fretwire crown height
action height at nut (distance between bottom of string and fretwire crown top)
action height at last fret
pickup 1 neck position
pickup 2 middle position
pickup 3 bridge position
nut width
the pickup positions should be used to draw circles for the magnet poles on each string so they are perfectly aligned and can be used for the pickup flatwork construction. ideally they would need a rotation control aligning the center line of the pickup so it's somewher between the last fret angle and bridge angle. personally i do this visually depending on the design i'm looking for, some people have huge theories on pickup positioning but personally i don't believe in it.
that should result in everything needed to quickly generate all the necessary construction curves or geometry for nut/fingerboard/frets/pickups. this is the core of what makes a guitar work, the more precise this dynamic system is the better the guitar plays and sounds.
i posted another thread trying to understand how i could use datasets form spreadsheets,databse, csv to organize the input parameters. What would make sense for the strings for example is hook into a spreadsheet with the different string sets, i attached one for the d'Addario NYXL string line which basically covers all combos that make sense.
The string tension is an interesting one, and implmenting it would sure be overkill albeit super interesting to try. it should be possible to extrapolate from the scale length of each string what the tension for a given string gauge of that string would be so that you could say 'i want a fully balanced set' or 'heavy top light bottom) and it would calculate which SKU from d'addario would best match the required tension. All the strings listed in the spreadsheet are available as single strings to buy.
i'm trying to reorganize everything which helps me understand it. i just discovered the 'hidden wires' feature which is great since once i understood what a certain block does or have finished one of my own, i can get the wires out of the way to carry on undistracted. a bit risky to hide so many wires but it makes it so much easier not to get completely lost :-)
btw, the 'fanned fret' term is trademarked, some guy tried to patent it in the 80's which is a bit silly since it has been done for centuries. there is a level of sophistication above this as well, check out http://www.truetemperament.com/ and that really is something else. it really is astounding how superior the tuning is on those wigglefrets, the problem is that it's rather awkward for string bending and also you can't easily recrown or level the frets when they are used. …