ted a picture of in your post. The reason is that sound has larger wavelengths than light.
With a light rendering model, energy can be said to reflect specularly, relative to their geometry, because the wavelength of light is inifinitesimally small relative to any object you might have modelled. With sound, energy may travel and reflect diffusely, or move around objects, depending on the scale of those objects. Think of the fundamental equation of frequency to wavelength - speed of sound = frequency X wavelength. Using that, you can see that a wave in the 125 hz octave is about as tall as a human being (or maybe a little taller) and would easily move around your body, not being reflected at all. A wave in the 1000 Hz. octave band is as big as your forearm, and might reflect specularly from your torso. A wave in the 4000 hz. octave band is about as long as your index finger, and might reflect off of your torso, or even your head.
Similarly, if you were to model the seats explicitly, it might be relatively accurate at very high frequencies (say 4000 hz. and above) but that is a very small part of the answer. Consensus in the field is that the most accurate way to model the seats is with a flat plane, raised to about shoulder height, and then with scattering coefficients applied to represent the varying effects of geometry on sound. I tend to use low coefficents below 250 hz. (say around 30%) and high coefficents above 250 Hz.(90%).
Absorption depends on the seat which was chosen. This is often a good area to use for a model calibration based on measured reverberation time.
Arthur…
ces are distorted (second). What is going on?
Surfaces in the second are a rhino cage edit of the surfaces in the first image. They were originally all closed polysrfs exploded just to input into grasshopper.
In the definition attached, each surface is compared to an original (its the small box in the far left of the top image) The point there is the ability to select for more than just the 6 faces of a cube, but find the closest match to more complicated inputs. In the second image, distorted surfaces are being compared to a distorted original.
If I have my math right, two parallel unitized normal vectors should have a dot product of 1, and the further away from 1 their dot product the further away from parallel, no? Why does it fail when I leave the comfy land of 90 degrees?…
Added by Peter Stone at 2:39pm on January 28, 2015
e to constrains, I HAVE to do it like this (I can't 3D print everything or opposite).
First
I have no idea how to make the panels, without so many duplicate Edges, Faces etc.
Second
I can't figure out how to align the triangle panels to fit in the construction, so it can be assembled ideally without glue. This problem is both conceptual (I can't figure out how to do it fiscally) and grasshoper-wise - I don't know how to organize data list and produce a global movement, so that the triangle parts do not intersect with each other, BUT intersect the 3d printed construction part (where they fit fix in or just fit and can be glued).
Triangles will be milled out from 3mm Plexiglas, BUT I will not have an option to mill at an angle, so only 90° edges.
3D printed parts will be executed by a high level production powder printer, so it should hold good.
Any ideas?
best,
cuki
…
File) 2. I have designed a curved Trichordal-Truss from one curve in Rhino.
The Truss is lying in the XY direction and the footer is placed on the zero point.
3. And now my problem:
I want to put the Truss-object on the feet, move 90°
(from the XY axis to Z axis, see sketch 1).
4. Then copy / move the truss to all 36-points of ellipse (see sketch 1).
5. Align the 36 trusses with the center of the triangle .
pointing at the center of the ellipse (see sketch 2).
6. Using a slider to change the position of the 36-Trusses at der ellipse.
Variable distance between Truss and ellipse (see sketch 3).
Thanks for you Answer.
Best regards
Noureddine…
multiply of variants from Galapagos, to have a chance for better analysis and comparability after. I also would like to use more then one solution in my design after.
In old topics i found kind of 3 solutions.
1.Change Galapagos to octopus ( what don t really want to do, i am kind of happy with Galapagos)
2. Use Slingshot! and MySQL Database ( it s look a little bit too complicated from the first view)
3. Use Colibri and Design Explorer Platform (looks kind of pretty way to solve my problem)
So i tried to add Colibri components to my definition , but have some mistake in the Colibri Aggregator after adding the Genome "An item with the same key already been added". I think it comes because for some steps i am using the "Gen Pool" and not a normal slider. Is it a way to connect Gen Pool and Colibri (i really prefer to have it, then a lot of sliders in some cases)?
And the second question (if i will get it solved with gen pool), could i somehow controll the recording process? For example i would likte to record only variants wit fitness over 90% or start recording just after 20. generation and record till the end?
I also opend for all other possibilities to reach the same goal (record/save/bake multiply variants from galapagos)
…
mers considering extreme sports reject mainstream retailers and like to check out small stores rather of at chains plus malls. Several smaller retailers discuss trends in sports shoe sales. http://skateszone.com/
Though athletic shoes and sports stores and from doorways retailers have reported somewhat uptick in footwear sales due to the increase in extreme sports, the particular beneficiaries inside the trend are independent surf and skate niche stores.
Some West Coast surf and skate shops stated teenagers and even more youthful Generation Xers are not only rejecting traditional sports, but they're also shunning mainstream retailers and malls meant for smaller niche shops transporting hard-to-come-by brands.
Eddie Miyoshi, district manager at Atomic Garage, a 3-store chain situated in Gardena, Calif., stated the soaring recognition of skateboard footwear has boosted the retailer's total footwear business 20-thirty percent this year, rather of '95.
Skate footwear presently represent 80-90 % of Atomic Garage's shoe sales, while couple of years back, Dr. Martens and Timberland drove the retailer's footwear business.
Like many retailers, Miyoshi pointed to Airwalk since the trend's catalyst.
However, if Airwalk broadened its distribution to larger chains, which are frequently located in malls, only a few skate shoe customers adopted. Rather, many youthful males have switched for your skate shops for additional elusive brands like Etnies, Duffs, and Electricity Footwear by Circus. By refusing to market bigger retailers or sports stores, these brands are increasing their cachet among youthful consumers.
"Kids don't want stuff which have been within the shops,In . Miyoshi added.
Searching ahead, Miyoshi forecasted skate shoe sales will remain strong through spring '97 provided "the [hot] vendors don't auction other [non-particularly shop] retailers."
"Skaters and non-skaters are rebelling against mainstream retailers so on to surf and skate shops for many looks," echoed Mark Richards, co-online sources Val Surf, a 3-store chain situated in North Hollywood, Calif. Soaring sales of skate footwear have driven total footwear receipts up 25 percent this year rather of '95.
"The quantity of that increase might be connected while using exposure of maximum games? I am unsure. [Skate footwear] may also be actually the think about the moment,In . Richards acknowledged. And in relation to getting this right look, youthful customers can be very picky.
"Skateboard footwear is a huge category for people, but we're not able to own the brands, Etnies, Duffs, Electricity and Nice, simply because they won't sell us," stated Mark Anderson, buyer at Chick's Sports, a six-store chain in Covina, Calif. "We have people coming every single day requesting them." Consequently, skate footwear have consistently ongoing to obtain about 5 % of Chick's overall footwear business. http://skateszone.com/the-top-8-best-skateboards-for-beginners-reviews-2017/
Nonetheless, some outdoors, niche sports and sports retailers are noting the growing recognition and coverage of maximum sports will receive a modest impact on footwear sales. Trailrunning footwear and approach/outdoors crosstrainers will be the two groups benefiting the very best inside the recognition. Like the skate shoe business, some retailers realize that styling instead of function frequently drives sales of individuals footwear.
"At this time the merchandise is a lot more visual than function," stated Chet James, gm of Super Jock 'N Jill, Dallas, speaking about trailrunning footwear. Still, James noted the current hype over adventure sports helps draw more customer traffic. "The marketing campaigns and media help bring growing figures of people in, nonetheless they frequently occasions day an issue that increases results on their own account,Inch he conceded.
John Wilkinson, executive vp inside the 85-store chain Track 'N Trail, Eldorado Hillsides, Calif., stated the shop has "seen some activity in approach footwear," but he requested the amount of consumers depend in it commercially sport. And, instead of accelerating total footwear business, Wilkinson speculated elevated sales of approach footwear and trailrunners are gnawing away at traditional hiking shoe and boot volume.
But Dan Bazinet, president of Overland Exchanging, a 34-store chain situated in Westford, Mass., believes the company-new looks have breathed existence for the wilting hiking boot category. "[Approach-type footwear] don't represent the lion's participate the hiking market, nonetheless they have elevated the hiking business and provided us extra sales," Bazinet stated.
He designated Timberland's Treeline Series and Rockport's Leadville line as strong performers. Unsurprisingly, he noted the company-new looks are attractive to youthful consumer base than traditional hikers.
For that month of June, sales of men's hikers were up 49 percent at Overland, rather of June '95, while sales of women's hikers were up 17 % for that month. Bazinet also attributed elevated sales that shops walked inside the hiking business, departing that business for that specialists.
Some retailers draw a good example concerning the hiking boom of two yrs ago combined with the current extreme sport phenomenon. "Plenty of bigger chains will get a specific percent in the industry while [extreme] sports remain a fad because they are selling cost-point type gear," described Steven Carre, assistant hard goods buyer at Adventure 16, a six-store chain situated in Hillcrest.
"However individuals [true enthusiasts] will say `we need real gear' and may shown up at us. That will help us after a while. What Size Skateboard good for an 3 4 5 6 7 8 9 10 11 12 13 14 year old
…
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.…