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…
it seems that was this. Now all is working fine !
Glad that it worked! But I am still a bit worried. Gismo components only modify the gdal-data/osmconf.ini file and no other MapWinGIS file. So your MapWinGIS installation files should not be compromised. The fact that you did not get the "COM CLSID" error message when running the "Gismo Gismo" component suggests that MapWinGIS has been properly installed. So I wonder if the cause for the permanent "invalid shapes" warning has again something with the fact that your system is again not allowing the MapWinGIS to properly edit the osmconf.ini. Maybe this problem will appear again, and again, and reinstallation of MapWinGIS every time can be somewhat bothersome.
- About the terrain generation, is it possible to have the texture from google or other provider mapped onto the terrain surface from gismo component ? (Same as using the ladybug terrain generator in fact). I try to used the image extracted by ladybug component and then applied it to the gismo terrain but the texture is rotated by 90°.
The issue with the rotation can be solved by swapping/reversing the U,V directions of the terrain surface. A slightly more important issue is that terrain surface generated with Gismo "Terrain Generator" component might have a bit smaller radius than what the radius_ input required. This stems from the fact that the terrain data first needs to be downloaded in geographic coordinate system, and then projected. Some projecting issues may occur at the very edges of the projected terrain, so I had to slightly cut out the very edges of the terrain which results in the actual terrain diameters being slightly shorted in both directions. This means that if you apply the same satellite image from Ladybug "Terrain Generator" component to Gismo "Terrain Generator" component the results may not be the same.I attached below a python component which tries to solve this issue by extending the edges of Gismo "Terrain Generator" terrain, and then cutting them with the cuboid of the exact dimensions as the radius_ input. Have in mind that this extension of the original terrain at its edges is not a correct representation of the actual terrain in that location. But rather just an extension of the isoparameteric curve of the terrain surface. So basically: some 0 to 10% (0 to 10 percent of the width and length) of the terrain around all four edges is not the actual terrain for that location, but rather just its extension.The python component is located at the very right of the definition attached below.
Also, if you would like to use the satellite images from Ladybug "Terrain Generator" component along with "OSM shapes", sometimes you may find slight differences in position of the shapes. This is due to openstreetmap data not being based on Google Maps (that's what Ladybug "Terrain Generator" component is using), but rather on Bing, MapQuest and a few others.
- About the requiredKeys_ input of OSM shapes, I understand what you mean and your advice, but in most cases I use it, the component was working fine even without input. I think it's better to extract all tags, values and keys of the selected area, instead of searching for specific ones as I try to find all data related to what I want after, isn't it ? To check what keys are present on the area also.
Ineed, you are correct.I though you were trying to only create a terrain, 3d buildings and maybe find some school or similar 3d building, for these two locations. The recommendation I mentioned previously is due to shapefiles having a limit (2044) to how many keys it can contain. This requires further testing of some big cities locations with maybe larger radii, which I haven't performed due to my poor PC configuration. But in theory, I imagine that it may happen that a downloaded .osm file may have more than 2044 keys. In that case shapefile will only record 2044 of them, and disregard the others. That was my point.But again 2044 is a lot of keys, and I haven't been checking much this in practice. For example, when I set the radius_ to 1000 meters, and use your "3 Rue de Bretonvilliers Paris" location I get around 350 something keys, which is way below the 2044.Another reason why one should use the requiredKeys_ input is to make the Gismo OSM components run quicker: for example, the upper mentioned 350 something keys will result in 350 values for each branch of the "OSM shapes" component's "values" output.Which means if you have 10 000 shapes, the "OSM shapes" component will have 10 000 branches with 350 items on each branch (values). This can make all Gismo OSM components very heavy, and significantly elongate the calculation process.With requiredKeys_ input you may end up with only a couple of tens of items per each branch.Sorry for the long reply.…
Added by djordje to Gismo at 8:57am on June 11, 2017
ails.
Some word about the mesh... (see Image_01)
I took a flat 4 points NURBS surface as imput (very easy, it defines the total area of my pavilion) and some points (that defines the contact with the ground).
Then I extracted a grid of points from the NURBS (Surface_Util_Divide surface) and compared 'em with the contol points, in order to associate to each grid's point its own attractor (Vector_Point_Closest Point).
Than I moved the points down. I used the distance from each point to its attractor (inverted) as amplitude for the vector of the movement, in order to say: the nearer you are to the control point, the more intense your movement will be. During this operation I've passed the distances' data list into a graph mapper (Params_Special_Graph Mapper), in order to regulate in a very intuitive and interactive way the shaping of my canopy.
At the end of the process I asked GH for a simple Delaunay mesh (Mesh_Triangulation_Delaunay Mesh). It's a very cool command, I believe!!!
Ok, now some word about the component, it's design and it's repetition/adaptation to the mesh...
(see Image_02)
I took the mesh and extracted components on first and faces's information on second. Then I selected and separated the vertexes (1°, 2°, 3°) of each triangular face into threee well defined list.
Then I re-created the triangles' edges. Please pay attention because it's not the same if you use output information from Delaunay components, because here we need a justapposition of edges where triangles touches each others.
After this work I joined the edges and found their centroid. At the same time I found the mid point of each edge.
Now the component... (see Image_03)
It' a little bit longer to describe: I'll try to be synthetic.
Substantially it is a loft from a curve to a point, repeated three times for each triangle (Surface_Freeform_Extrude Point). The point is an elevation of the centroid of the triangle (you can choose if the exstrusion has a single height or it's related to an attractor. In my case it was fixed). The curve is combination of things. There's an arch, which starts on the edge (there's an offset from the corner) end terminates on the same edge (on the other side, obviously). While it's generation the arch passes through a third point which belong to another segment. This last connects the mid point of the original edge (base triangle) with the centroid. The result is a kind of polyline, with two segments and an arch. If you go back to the image of the component that I posted probably you'll understand what I'm saying better than with the definition.
The posit…
lla progettazione parametrica e le tecniche di modellazione algoritmica per la generazione di forme complesse
___________________________________________________________________________________
luogo:
Sala meeting Holiday Inn Inn Turin C.so Francia Piazza Massaua 21 – TORINO
Scadenza iscrizioni: 25 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 | 01 Dicembre 2011
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
14.00 – 16.00: nozioni fondamentali: componenti, connessioni, data flow
16.00 – 18.00: esercitazione
GIORNO_02 | 02 Dicembre 2011
10.00 – 12.00: funzioni matematiche e logiche, serie, gestione dei dati
12.00 – 13.00: analisi e definizione di curve e superfici
13.00 – 14.00: break
14.00 – 16.00: analisi e definizione di curve e superfici
16.00 – 18.00: definizione di griglie e pattern
GIORNO_03 | 03 Dicembre 2011
10.00 – 12.00: trasformazioni geometriche, paneling
12.00 – 13.00: image sampler
13.00 – 14.00: break
14.00 – 18.00: data tree: gestione di dati complessi
GIORNO_04 | 04 Dicembre 2011
10.00 – 12.00: digital fabrication: teoria ed esempi
12.00 – 13.00: nesting: scomposizione di oggetti tridimensionali in sezioni e posizionamento su piani di taglio per macchine a controllo numerico CNC
13.00 – 14.00: break
14.00 – 18.00: esercitazione…
he Cordyceps. Maybe some of you find this helpful/useful.
So basically, the Cordyceps is a physical module with 4 knobs and 1 slider. The knobs give an output between 1 and 1000, while the physical slider outputs 0-359. And of course, for this physical module I wrote a plugin to communicate with it. The knobs are intended to be the variables that modifies the design, while the physical slider is intended to be connected to the camera component.
Here I will put up "the recipe" for all to make their own module. You will be able to download the plugin as well.
Please send me a message if you want the 3D-files for the knobs, the box and slider knob. They've been made to directly 3D-print.
Plugin:
https://github.com/zakadjeb/Cordyceps/blob/master/Cordyceps/Cordyce...
Code for Arduino IDE:
https://github.com/zakadjeb/Cordyceps/blob/master/Arduino/_Arduino_...
What you need:
1x - Arduino (Leonardo, UNO or whatever)
4x - Potentiometers
1x - Sliding potentiometer
1x - Breadboard
Bundle of jump wires.
1. So, a potentiometer is a variable resistor, which is basically a component that changes the resistance between the voltage and the ground.
If A is supplied with 5V then B must be connected to Ground. The W will give "read" the resistance, and thus should be placed in Analog input (A0-A5) on the Arduino. The slider potentiometer works the same way.
2. Now connect the 4 pots to each their Analog input. The slider is supposed to be in A4. So to make sure:
A0: Knob1
A1: Knob2
A2: Knob3
A3: Knob4
A4: Slider
3. Now it's time to connect the voltage! Using the breadboard, the voltage can be sent through 1 line, the Ground as well. It should be quite easy to connect them.
4. Now, download the Arduino IDE and copy-paste the code I supplied above. In the IDE, you need to let it know which Arduino you're working with, and which port is should send the script.
5. Almost there. Download the plugin. Open the port you're using through the plugin. Set Start to True and the Cordyceps should be within you.
This recipe will be updated!
Let me know if there are any issues.
// Zakaria Djebbara…
he Cordyceps. Maybe some of you find this helpful/useful.
So basically, the Cordyceps is a physical module with 4 knobs and 1 slider. The knobs give an output between 1 and 1000, while the physical slider outputs 0-359. And of course, for this physical module I wrote a plugin to communicate with it. The knobs are intended to be the variables that modifies the design, while the physical slider is intended to be connected to the camera component.
Here I will put up "the recipe" for all to make their own module. You will be able to download the plugin as well.
Please send me a message if you want the 3D-files for the knobs, the box and slider knob. They've been made to directly 3D-print.
Plugin:
https://github.com/zakadjeb/Cordyceps/blob/master/Cordyceps/Cordyce...
Code for Arduino IDE:
https://github.com/zakadjeb/Cordyceps/blob/master/Arduino/_Arduino_...
What you need:
1x - Arduino (Leonardo, UNO or whatever)
4x - Potentiometers
1x - Sliding potentiometer
1x - Breadboard
Bundle of jump wires.
1. So, a potentiometer is a variable resistor, which is basically a component that changes the resistance between the voltage and the ground.
If A is supplied with 5V then B must be connected to Ground. The W will give "read" the resistance, and thus should be placed in Analog input (A0-A5) on the Arduino. The slider potentiometer works the same way.
2. Now connect the 4 pots to each their Analog input. The slider is supposed to be in A4. So to make sure:
A0: Knob1
A1: Knob2
A2: Knob3
A3: Knob4
A4: Slider
3. Now it's time to connect the voltage! Using the breadboard, the voltage can be sent through 1 line, the Ground as well. It should be quite easy to connect them.
4. Now, download the Arduino IDE and copy-paste the code I supplied above. In the IDE, you need to let it know which Arduino you're working with, and which port is should send the script.
5. Almost there. Download the plugin. Open the port you're using through the plugin. Set Start to True and the Cordyceps should be within you.
This recipe will be updated!
Let me know if there are any issues.
// Zakaria Djebbara…
ect + Geco
TUTORS:
Arturo Tedeschi (Authorized Rhino Trainer) + Maurizio Arturo Degni
Il workshop avanzato ECOLOGIC PATTERNS affronta l’impiego di strategie parametriche all’interno del processo progettuale, approfondendo l’utilizzo di Grasshopper in sinergia con plug-in, software di analisi ambientale e simulazione fisica. Obiettivo fondamentale è la generazione della forma come risultato di tecniche di form-finding e di input ambientali (solari, termici e acustici). Verranno acquisiti nuovi strumenti operativi e di simulazione al fine di costruire modelli parametrici ottimizzati in grado di adattarsi a diverse condizioni di contesto.
MORE INFO…
Introduzione a Grasshopper", il primo manuale su Grasshopper.
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I corsi PLUG IT nascono dalla volontà di promuovere le nuove tecnologie digitali di supporto alla progettazione e condividere il know-how maturato attraverso ricerca, collaborazione con i più importanti studi di architettura e pubblicazioni internazionali.
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Verranno introdotte le nozioni base di Grasshopper approfondendo le metodologie della progettazione parametrica e le tecniche di modellazione algoritmica per la generazione di forme complesse. Il corso è rivolto a studenti e professionisti con esperienza minima nella modellazione 3D e si articolerà in lezioni teoriche ed esercitazioni.
. Argomenti trattati:
- Introduzione alla progettazione parametrica: teoria, esempi, casi studio - Grasshopper: concetti base, logica algoritmica, interfaccia grafica - Nozioni fondamentali: componenti, connessioni, data flow
- Funzioni matematiche e logiche, serie, gestione dei dati - Analisi e definizione di curve e superfici
- Definizione di griglie e pattern complessi - Trasformazioni geometriche, paneling - Attrattori, image sampler
- Data tree: gestione di dati complessi - Digital fabrication: teoria ed esempi - Nesting: scomposizione di oggetti tridimensionali in sezioni piane per macchine CNC
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Verrà rilasciato un attestato finale.
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Ulteriori info e programma completo su: www.arturotedeschi.com e su www.edizionilepenseur.it…
ay how many valid permutations exist.
But allow me to guesstimate a number for 20 components (no more, no less). Here are my starting assumptions:
Let's say the average input and output parameter count of any component is 2. So we have 20 components, each with 2 inputs and 2 outputs.
There are roughly 35 types of parameter, so the odds of connecting two parameters at random that have the same type are roughly 3%. However there are many conversions defined and often you want a parameter of type A to seed a parameter of type B. So let's say that 10% of random connections are in fact valid. (This assumption ignores the obvious fact that certain parameters (number, point, vector) are far more common than others, so the odds of connecting identical types are actually much higher than 3%)
Now even when data can be shared between two parameters, that doesn't mean that hooking them up will result in a valid operation (let's ignore for the time being that the far majority of combinations that are valid are also bullshit). So let's say that even when we manage to pick two parameters that can communicate, the odds of us ending up with a valid component combo are still only 1 in 2.
We will limit ourselves to only single connections between parameters. At no point will a single parameter seed more than one recipient and at no point will any parameter have more than one source. We do allow for parameters which do not share or receive data.
So let's start by creating the total number of permutations that are possible simply by positioning all 20 components from left to right. This is important because we're not allowed to make wires go from right to left. The left most component can be any one of 20. So we have 20 possible permutations for the first one. Then for each of those we have 19 options to fill the second-left-most slot. 20×19×18×17×...×3×2×1 = 20! ~2.5×1018.
We can now start drawing wires from the output of component #1 to the inputs of any of the other components. We can choose to share no outputs, output #1, output #2 or both with any of the downstream components (19 of them, with two inputs each). That's 2×(19×2) + (19×2)×(19×2-1) ~ 1500 possible connections we can make for the outputs of the first component. The second component is very similar, but it only has 18 possible targets and some of the inputs will already have been used. So now we have 2×(18×2-1) + (18×2-1)×(18×2-1) ~1300. If we very roughly (not to mention very incorrectly, but I'm too tired to do the math properly) extrapolate to the other 18 components where the number of possible connections decreases in a similar fashion thoughout, we end up with a total number of 1500×1300×1140×1007×891×789×697×...×83×51×24×1 which is roughly 6.5×1050. However note that only 10% of these wires connect compatible parameters and only 50% of those will connect compatible components. So the number of valid connections we can make is roughly 3×1049.
All we have to do now is multiply the total number of valid connection per permutation with the total number of possible permutations; 20! × 3×1049 which comes to 7×1067 or 72 unvigintillion as Wolfram|Alpha tells me.
Impressive as these numbers sound, remember that by far the most of these permutations result in utter nonsense. Nonsense that produces a result, but not a meaningful one.
EDIT: This computation is way off, see this response for an improved estimate.
--
David Rutten
david@mcneel.com
Poprad, Slovakia…
Added by David Rutten at 12:06pm on March 15, 2013
mplex the models are. If we are running multi-room E+ studies, that will take far longer to calculate.
Rhino/Grasshopper = <1%
Generating Radiance .ill files = 88%
Processing .ill files into DA, etc. = ~2%
E+ = 10%
Parallelizing Grasshopper:
My first instinct is to avoid this problem by running GH on one computer only. Creating the batch files is very fast. The trick will be sending the radiance and E+ batch files to multiple computers. Perhaps a “round-robin” approach could send each iteration to another node on the network until all iterations are assigned. I have no idea how to do that but hope that it is something that can be executed within grasshopper, perhaps a custom code module. I think GH can set a directory for Radiance and E+ to save all final files to. We can set this to a local server location so all runs output to the same location. It will likely run slower than it would on the C:drive, but those losses are acceptable if we can get parallelization to work.
I’m concerned about post-processing of the Radiance/E+ runs. For starters, Honeybee calculates DA after it runs the .ill files. This doesn’t take very long, but it is a separate process that is not included in the original Radiance batch file. Any other data manipulation we intend to automatically run in GH will be left out of the batch file as well. Consolidating the results into a format that Design Explorer or Pollination can read also takes a bit of post-processing. So, it seems to me that we may want to split up the GH automation as follows:
Initiate
Parametrically generate geometry
Assign input values, material, etc.
Generate radiance/ E+ batch files for all iterations
Calculate
Calc separate runs of Radiance/E+ in parallel via network clusters. Each run will be a unique iteration.
Save all temp files to single server location on server
Post Processing
Run a GH script from a single computer. Translate .ill files or .idf files into custom metrics or graphics (DA, ASE, %shade down, net solar gain, etc.)
Collect final data in single location (excel document) to be read by Design Explorer or Pollination.
The above workflow avoids having to parallelize GH. The consequence is that we can’t parallelize any post-processing routines. This may be easier to implement in the short term, but long term we should try to parallelize everything.
Parallelizing EnergyPlus/Radiance:
I agree that the best way to enable large numbers of iterations is to set up multiple unique runs of radiance and E+ on separate computers. I don’t see the incentive to split individual runs between multiple processors because the modular nature of the iterative parametric models does this for us. Multiple unique runs will simplify the post-processing as well.
It seems that the advantages of optimizing matrix based calculations (3-5 phase methods) are most beneficial when iterations are run in series. Is it possible for multiple iterations running on different CPUs to reference the same matrices stored in a common location? Will that enable parallel computation to also benefit from reusing pre-calculated information?
Clustering computers and GPU based calculations:
Clustering unused computers seems like a natural next step for us. Our IT guru told me that we need come kind of software to make this happen, but that he didn’t know what that would be. Do you know what Penn State uses? You mentioned it is a text-only Linux based system. Can you please elaborate so I can explain to our IT department?
Accelerad is a very exciting development, especially for rpict and annual glare analysis. I’m concerned that the high quality GPU’s required might limit our ability to implement it on a large scale within our office. Does it still work well on standard GPU’s? The computer cluster method can tap into resources we already have, which is a big advantage. Our current workflow uses image-based calcs sparingly, because grid-based simulations gather the critical information much faster. The major exception is glare. Accelerad would enable luminance-based glare metrics, especially annual glare metrics, to be more feasible within fast-paced projects. All of that is a good thing.
So, both clusters and GPU-based calcs are great steps forward. Combining both methods would be amazing, especially if it is further optimized by the computational methods you are working on.
Moving forward, I think I need to explore if/how GH can send iterations across a cluster network of some kind and see what it will take to implement Accelerad. I assume some custom scripting will be necessary.…