lla progettazione parametrica e le tecniche di modellazione algoritmica per la generazione di forme complesse
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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
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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…
nside the zone. I would move your comfort evaluation surface to be 1 meter off the ground in order to be representative of typical human height.
Also, you did not intersect the ground with the rest of the zone geometry, resulting in an incorrect energy simulation. After intersection, you also get one surface of the ground zone that is not inside any buildings. I fixed these two things in the attached file ad it works:
I would also recommend breaking the top surface of the ground up into sub-surfaces so that you can capture the variation in ground surface temperature that happens across the outdoors. Second, I would recommend putting some windows on your buildings as the exterior surface temperature of windows can be very different than that of opaque surfaces. Finally, you should keep in mind that the outdoor maps are assuming a very basic outdoor wind profile by default and, to accurately understand outdoor comfort, you really should be incorporating wind patterns after running a CFD. This discussion has some information about importing CFD from other programs to GH:
http://www.grasshopper3d.com/group/ladybug/forum/topics/import-cfd-result-to-honeybee
-Chris…
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.
…
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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rce of power.
A fortified emplacement for heavy guns.
Synonyms
accumulator
And use component:
com·po·nent
/kəmˈpōnənt/
Noun
A part or element of a larger whole, esp. a part of a machine or vehicle.
Adjective
Constituting part of a larger whole; constituent.
Synonyms
noun.
constituent - element - ingredient - part
adjective.
constituent - constitutive
…
n to finding a concave contour polyline (which is in general what you need). In your case each contour section contains a series of points of which you do not know the order and you need to sort them so that by connecting them you find the contour. This is fairly easy to do when the contour is convex (basically you find the average point then calculate the vectors from the average to the points and sort the vectors by angle - sorting the points by the same angle gives you the right order for the contour), but generally impossible to find uniquely when the contour is concave (PS: convex means that, for ANY 2 points inside the figure, a straight line connecting them doesn't intersect with the border curve - i.e. circles, ellipses, rectangles, triangles - concave shapes are a star, a crescent moon, an arrow, a boomerang, etc.).
The problem goes like this: given a generic list of points:
Each of these configurations for a perimeter equally fits the above:
Laurent already went for another possible solution, the stochastic approach (by subdividing the connecting lines), I slightly adjusted a few things over his solution:
namely, I added a rounding option to adjust for some weird tolerance issues (some points that should be at Y=80 were at Y=79.99998 or something) and a more straightforward solution to group them by section plane using sets logic. This, coupled with alpha shape, gives a quite good approach, still very coarse in terms of results but that depends on the sampling resolution of the field (i.e. number of height sections in which you calculate the metaballs) and sampling length of the connecting lines.
Definition attached.…
Diffraction , I left it, how it is.
For the unusual issues that comes in the image source component, so, is it something strange? But, I still have the same issues when I sets any integer component (single or multiple) in the “reflection order” of the image source component, in the “image source order” in the ray tracing component, and again, when I connect the output “Direct sound data” of Direct Sound component in the Energy Time Curve.
Do I wrong something with the integer component? I used it already in the first parts, for sets “grasshopper layers”, in the “Scene” component, but here it works. Should I start with a new file?
For the multi-object optimization, thank you for all suggestions. Yes, I red PHD thesis work of Tomas Mendez and the article “ EDT, C80 and G Driven Auditorium design” and still others. Thank you to all these articles, I decided where to focus my thesis.
I understand the potential of Multi-object optimization, and problems that I can finding without using it. Actually, in the beginning of my thesis, I tried to jet in contact with the Politecnico di Torino, but was not easy because I’m not a Politecnico student.
Here, in University of Florence (Building engineering), there isn’t a department or someone that is already familiar with these field of study, so, as you can image, for design my thesis, I can confide on online resources. So far, my Professor suggest me to begin with a Nonlinear Global optimization like Galapagos, and only after see the multi-object. In this way, step by step if something doesn’t work is easier to understand way and where something is going wrong: if are problems due to the setting of the programs, because we are not practical about these, or if there is a wrong in the simulations or in the algorithm and ect.
Do you think is a good way for go on?
Thank you very much,
Kind Regards
Giulia
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It was originally developed at NBBJ by the Design Computation Leadership Team over the course of about 10 months in 2015-2016.
Primary development by:
Andrew Heumann / andheum / @andrewheumann
Lead Developer
Marc Syp / marcsyp / @mpsyp
Product Manager
Nate Holland / nateholland / @_NateHolland
Contributing Developer
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Gone are the days of faking a user interface by laying out sliders and text panels and hiding wires on the Grasshopper canvas. Human UI interfaces are entirely separate from the Grasshopper canvas and leverage the power of Windows Presentation Foundation (WPF), a graphical subsystem for rendering user interfaces in the Windows environment.
OLD NEW
In other words: Human UI makes your GH definition feel like a Windows app. Create tabbed views, dynamic sliders, pulldown menus, checkboxes, and even 3D viewports and web browsers that look great and make sense to anyone--including designers and clients with no understanding of Grasshopper.
Download the plugin + sample files:
Food4Rhino
View the project on Bitbucket:
Bitbucket
We look forward to seeing where this project takes you, please share your projects made with Human UI!…