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. …
e matching with a dedicated component which creates combinations of items. You can find the [Cross Reference] component in the Sets.List panel.
When Grasshopper iterates over lists of items, it will match the first item in list A with the first item in list B. Then the second item in list A with the second item in list B and so on and so forth. Sometimes however you want all items in list A to combine with all items in list B, the [Cross Reference] component allows you to do this.
Here we have two input lists {A,B,C} and {X,Y,Z}. Normally Grasshopper would iterate over these lists and only consider the combinations {A,X}, {B,Y} and {C,Z}. There are however six more combinations that are not typically considered, to wit: {A,Y}, {A,Z}, {B,X}, {B,Z}, {C,X} and {C,Y}. As you can see the output of the [Cross Reference] component is such that all nine permutations are indeed present.
We can denote the behaviour of data cross referencing using a table. The rows represent the first list of items, the columns the second. If we create all possible permutations, the table will have a dot in every single cell, as every cell represents a unique combination of two source list indices:
Sometimes however you don't want all possible permutations. Sometimes you wish to exclude certain areas because they would result in meaningless or invalid computations. A common exclusion principle is to ignore all cells that are on the diagonal of the table. The image above shows a 'holistic' matching, whereas the 'diagonal' option (available from the [Cross Reference] component menu) has gaps for {0,0}, {1,1}, {2,2} and {3,3}:
If we apply this to our {A,B,C}, {X,Y,Z} example, we should expect to not see the combinations for {A,X}, {B,Y} and {C,Z}:
The rule that is applied to 'diagonal' matching is: "Skip all permutations where all items have the same list index". 'Coincident' matching is the same as 'diagonal' matching in the case of two input lists which is why I won't show an example of it here (since we are only dealing with 2-list examples), but the rule is subtly different: "Skip all permutations where any two items have the same list index".
The four remaining matching algorithms are all variations on the same theme. 'Lower triangle' matching applies the rule: "Skip all permutations where the index of an item is less than the index of the item in the next list", resulting in an empty triangle but with items on the diagonal.
'Lower triangle (strict)' matching goes one step further and also eliminates the items on the diagonal:
'Upper Triangle' and 'Upper Triangle (strict)' are mirror images of the previous two algorithms, resulting in empty triangles on the other side of the diagonal line:
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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
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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
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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…
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.
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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
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