getting answers for on the web.
Our goal is to install a scientific research lab in a forest to study the proliferation of a deadly tree disease so we would like to design a sort of big cocoon that is in part randomly generated and that would wrap around the trees inside it similar to how the disease proliferates through the forest... Unfortunately, we are having a few problems modeling it on grasshopper, here are our questions :
First off we have generated a grid on which we have attached vertical lines that represent the trees of the forest we are working on, we have also modeled a grid that is the dual to the first one (links the centers of the cells of the first grid together to form another grid). We have generated points of random z coordinates that follow the x and y coordinates of the second grid, and we have applied metaballs to those random points.
1. We would like to know how to create a surface from the curves generated by the metaballs in my grasshopper file ?
2. We would like to know if it is possible to push the surface away from the lines on the grid, as if there was a magnetic field pushing matter away from them ? we are hoping it would look a bit like this (the black lines being the trees and the big grey volume the surface wrapping around the trees, avoiding them) :
If you have any ideas of a better way of representing what we want to model please let me know (or if it isn't well explained please call me out on that). What we like about our grasshopper file for now is that you can kind of change the sizes of the metaballs pretty easily, the fact that they are randomly generated and smoothly blend together, but if you know a better way of achieving a similar result please let us know!
A few pics of what it looks like as of now :
Here is our grasshopper file attached, to generate the metaballs you just have to make a point in the center of the very first cell of the larger grid, so the corner of the second grid, and link it to the point in the grasshopper file.
Thanks, Sarah, Vincent and Nicholas…
ature. By investigating the process of decay across various scales, we will formulate rules of generating decomposition as our design research area. These rules will evolve into design strategies for the creation and fabrication of a large-scale prototype. The design and fabrication process will be informed by the use of robotic fabrication techniques.
The three-week long programme is formulated as a two-phase process. During the two-week initial phase, participants benefit from the unique atmosphere and facilities of AA’s London home. The second phase, lasting for a week, shifts to AA’s woodland site in Hooke Park and revolves around the fabrication and assembly of a full-scale architectural intervention.
Prominent Features of the programme:
• Teaching team: Participants engage in an active learning environment where the large tutor to student ratio (5:1) allows for personalized tutorials and debates.
• Facilities: AA Digital Prototyping Lab (DPL) offers laser cutting, CNC milling, and 3d printing facilities. The facilities at AA Hooke Park allow for the fabrication of one-to-one scale prototypes with a 3-axis CNC router, various woodworking power tools, and robotic fabrication.
• Computational skills: The toolset of Summer DLAB includes but is not limited to Rhinoceros, Processing, Grasshopper, and various analysis tools.
• Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies through theoretical sessions and seminars forms one of the major goals of Summer DLAB.
• Professional awareness: Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly-focused collaborative educational model which promotes research-based design and making.
• Fabrication: According to the specific agenda of each year, a one-to-one scale prototype is fabricated and assembled by design teams.
• Lecture series: Taking advantage of its unique location, London, Summer DLAB creates a vibrant atmosphere with its intense lecture programme.
Eligibility: The workshop is open to architecture and design students and professionals worldwide.
Accreditation: Participants receive the AA Visiting School Certificate with the completion of the Programme.
Applications: The AA Visiting School requires a fee of £1964 per participant, which includes a £60 Visiting Membership fee. A deposit of £381 is required when registering with the online form. The deadline for applications is 20 July 2015. No portfolio or CV is required. Online application link:
https://www.aaschool.ac.uk/STUDY/ONLINEAPPLICATION/visitingApplication.php?schoolID=325
Return train tickets between London-Hooke Park, accommodation & food in Hooke Park, and materials from Digital Prototyping Lab (DPL) are included in the fees.
Programme Directors:
Elif Erdine (AA Summer DLAB Director): elif.erdine@aaschool.ac.uk
Alexandros Kallegias (AA Summer DLAB Director): alexandros.Kallegias@aaschool.ac.uk
…
ange’ for its 2016 cycle, as a starting point to investigate principles of natural formation processes and interpret them as innovative architectonic spaces. These concepts are carefully interwoven with spatial, performance-based, and structural criteria in order to create full-scale working prototypes.
The three-week long programme is formulated as a two-phase process. During the two-week initial phase, participants benefit from the unique atmosphere and facilities of AA’s London home. The second phase, lasting for a week, shifts to AA’s woodland site in Hooke Park and revolves around the robotic fabrication and assembly of a full-scale architectural intervention.
Prominent Features of the programme:
• Teaching team: Participants engage in an active learning environment where the large tutor to student ratio (5:1) allows for personalized tutorials and debates.
• Facilities: AA Digital Prototyping Lab (DPL) offers laser cutting, CNC milling, and 3d printing facilities. The facilities at AA Hooke Park allow for the fabrication of one-to-one scale prototypes with a 3-axis CNC router, various woodworking power tools, and robotic fabrication.
• Computational skills: The toolset of Summer DLAB includes but is not limited to Rhinoceros, Processing, Grasshopper, and various analysis tools.
• Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies through theoretical sessions and seminars forms one of the major goals of Summer DLAB.
• Professional awareness: Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly-focused collaborative educational model which promotes research-based design and making.
• Robotic Fabrication: According to the specific agenda of each year, scaled working models are produced via advanced digital machining tools, followed by the fabrication of a one-to-one scale prototype with the Kuka KR150 robot.
• Lecture series: Taking advantage of its unique location, London, Summer DLAB creates a vibrant atmosphere with its intense lecture programme.
Eligibility: The workshop is open to architecture and design students and professionals worldwide.
Accreditation: Participants receive the AA Visiting School Certificate with the completion of the Programme.
Applications: The AA Visiting School requires a fee of £1900 per participant, which includes a £60 Visiting Membership fee. A deposit of £381 is required when registering with the online form. The deadline for applications is 11 July 2016. No portfolio or CV is required. Online application link:
https://www.aaschool.ac.uk/STUDY/ONLINEAPPLICATION/visitingApplication.php?schoolID=392
Return train tickets between London-Hooke Park, accommodation & food in Hooke Park, and materials from Digital Prototyping Lab (DPL) are included in the fees.
For inquiries, please contact:
elif.erdine@aaschool.ac.uk (Programme Director)
alexandros.kallegias@aaschool.ac.uk (Programme Director)
…
elease, so for now I am back to the basics - using only what is built into the official release for the time being.
Perhaps as plugins are updated, the updated version/ release date/ download link can be added to this compatibility list. If someone has beaten me to this on another site; please let me know.
Plugins I intend to test would solicit compatibility advice for;
CENTIPEDE
CHAMELEON / WORKS /
DIVA
FAR CALCULATOR / WORKS /
FIREFLY / UPDATED / Firefly (1.0067) now works for 0.9.006. Download at www.fireflyexperiments.com
FLOWLINES / WORKS / native tools provided in 0.9 release
GENERATION / WORKS /
GECO / WORKS / update scheduled for 10.08.2012
GH KANGAROO / WORKS / plus more on the way! (per Daniel Piker)
GHOWL / WORKS /
GHYTHON / FIXED / Link to updated file; GhPython 0 5 1 0
GOAT
HAL / PARTIAL COMPATIBILITY / Fix should be available toward end of Aug.
HELIOTROPE \ BROKEN \
HOOPSNAKE
HORSTER / WORKS /
HUMMINGBIRD / WORKS /
LOCAL CODE / WORKS /
LUNCHBOX / WORKS / UPDATED 8.04 DOWNLOAD HERE
MATIS
MESHEDIT / WORKS / update scheduled for 10.08.2012
QUOKKA
SCARAB
SLINGSHOT \ BROKEN \
SOLARCIRCLES
SPIDERWEB / WORKS /
STARLING / WORKS / VER 0.2 AND 0.1
PANELING TOOLS / UPDATED / http://www.grasshopper3d.com/group/panelingtools/forum/topics/pt-gh-new-release-of-august-22-2012
WEAVERBIRD \ BROKEN \
…
ld work.
For example there's a grid shell and I've got a number of control points (for example 3) that can move up and down.
Depending on the control points I get forms that are structurally good and some that are bad.
In my office we've got a GH-Component, which leads the geometry in structural members and solves the structural forces and so on through an external Software called Sofistik and afterwards gives back to GH some Values, for example maximum bending moments. (Like Karamba)
Now I want to create this optimization component or something like that to minimize e.g. the bending moments in the given geometry.
Let's start with the work of the component.
So when I've three control points that can only move in z-direction.
P1(0,0,Z1), P2(10,0,Z2), P3(5,5,Z3)
They only depend on Z, so everything depends on Z1 to Z3 which have a range between 0 and 10 f.e.
First I want to get some (between 9 and 15) random Particles, one particle consists of this 3 different Z's.
So for example the first particle Part1 is [Z1=10, Z2=5, Z3=7]
and the second particle Part2 is [Z1=7, Z2=1, Z3=9]
and so on.
I created these Start Particles in a Cluster. See attached file.
I also tried this in C#, but thought it is easier in GH.
After I've got the Start Particles I want to give out the first particle and evaluate with its including Z's the target value in GH. Therefore I had to take the first branch and graft this branch (Discussion before)
Afterwards I want to save this Target Value that depends on the first starting Particle. Then I want to give out the second starting Particle to evaluate its target Value and store it. And so on till the last target Value of the last Starting Particle got assigned.
Then I want to assign the particles with its target values. E.g. part1: t=0.9, part2: t=1.8...
Then I want to define neighborhoods or the count of the expected local minima.
These neighborhoods can look like: Each neighborhood has to include not less than 3 particles. And the particles have to be next to each other.
E.g. if there are 12 particles and I want to have a look for 3 local minima, I need 3 or 4 neighborhoods. Then I would take 3 neighborhoods, because the more particles in one neighborhood, the better.
So the Count of the neighborhoods would be N=min{(Count of Part/3)& N_min}
How to define these neighborhoods I don't know at the moment. I think it has to be searched for the distance between the particles. E.g. part1 with (9,9,9) and part2 with (9,9,8) are next to each other but part 3 with(1,1,2) is far away.
Then each StartParticle is set to Partx_localbest.
And in each Neighbourhood the best of these localbeststs is Part_NyBest. (The best ist the one with the smallest target Value)
Loop:
Now I want to create new Particles. These Particles don't change their Z-values randomly. They change their Z-Values depending on Part_NxBest and Part_localBest. Therefore it has to be evaluated a new velocityfactor with v_Partx_new=0,792*v_PartxOld+1,5*random(0,1)*(partx_localbest-partx)+1,5*random(0,1)*(part_NyBest-partx)
The new particles will then be partx_new=partx+v_Partx_new.
The new Particle partx_new will be set to partx and then set in the output.
then there has to be caught the targetValue of part1 afterwards part2 can be put out and its target value caught and so on.
Then it has to be looked for the Partx_localbest through comparing the partx_localbest and its target value with the new part_x and its target value. If the target value of the new partx is smaller than partx_localbest,
then partx_localbest is the new partx.
This has to be done for each partx. Afterwards the same for neighborhoods best (best of all partx_localbest in one neighborhood)
Endloop if velocity gets small.
Output all part_NxBest
Output all targetvalues of the part_NxBests.
So in the Input there have to be:
StartParticles if they are given through the cluster attached.
Device on the target Value like in the attached gh.file from David Rutten I found in the discussions
Count of neighborhoods
And in the output
Output particle for evaluation
Output all part_NxBest
Output all targetvalues of the part_NxBests
Hope didn’t forget anything. And hope it isn’t crushed to badly. Sorry for my bad English by the way ;-)
For more explanation, how the PSO works in other programs. There’s attached a workflow script (is it called like that?) I think for GH it should be a little bit changed like I tried in my explanations.
So if you can help me a in some parts or you have any advices would be great, otherwise thank you nevertheless!!!!
Thankfully there’s no limit for the words in the discussions :-D
Best, Heiko
…
guages I'd recommend all use the RhinoCommon SDK and thus all have access to the same functionality.
How long would it take me to understand and write my own code?
If you already know how to program, it probably won't take too long. If you're past the hurdle of what it means to declare and assign variables, how conditionals and loops work and what scope is, you've already rounded the hardest corner.
Is it even worth it?
That really depends. "Learn programming" is clearly not blanket good advice. Most people out there do not have to learn programming to be happy with their lives and successful in their careers. For some people it can make a small difference, and for a few people it can make a huge difference. If you feel you're in the 'some' category then this is indeed a question you have to answer. Note that the investment for learning programming is a continuous process. Unless you keep up your skills and learn about new stuff that becomes available, you'll lose the ability to write successful code over time.
Where do I start?
Step 1 is to answer the previous question. It is unlikely that anyone besides yourself can answer it, but you can start by making a list of things you do manually now that may be programmable. Then make a list of the things you are unable to do now but which you might be able to do with programming. If while looking at these lists your reaction is: "meh", the answer is probably no.
Step 2 is to pick a language. This is again a very personal thing; there's no wrong answer, because there's no right answer.
Step 3 is to start learning this language. My experience is that the best way to learn a programming language is to try and solve a real problem that you understand very well. If the problem statement is nebulous or poorly understood, you'll be learning two things and that's a recipe for unnecessary frustration.
Here are my thoughts on language:
Python: I don't use Python myself, I can sort of read it while moving my lips. I don't particularly like Python though. The indentation sensitiveness stresses me out, and I find the lack of type-safety disturbing. However it is a good language for mathematical/scientific programs. There are lots of additional code libraries you can easily import that will ease the development of mathematically intense algorithms.
C#: I like C# very much, but it does suffer from geekerosis. A lot of the keywords used in the language are not self-explanatory (abstract, sealed, virtual). For me this is no longer a problem as I've memorised what they all mean. C# is designed to be an efficient language to write, rather than an easy one to learn.
The great thing about C# though is that there's a huge amount of material out there for learning it. It is one of the most popular, mature and modern languages you can hope to pick.
VB: I learned VBScript as my first language, and then moved on to VB5, VB6 and VB.NET. It is somewhat more friendly than C#, and functionally it is almost identical. The switch from VB to C# is reasonably low-threshold and there are excellent tools for translating VB code to C# and vice versa.
Since you already know some Python, it probably makes the most sense to continue on that path. If you want to switch, C# is more like Python than VB, so C# would be my next suggestion.
As for where to get information... you have 4 major options when developing code for Rhino.
If it's a question about the language itself, StackOverflow is a great resource. It can be a pretty hostile place for beginner questions, but I find that mostly the questions I'm asking have been asked already and the answers on SO tend to be good. In fact usually when I google my questions, the first few hits are always SO posts.
If it's a question about the Rhino SDK or Grasshopper, you can ask it either on the GH forums (where we are now), or on Discourse. We're not as quick on the draw as SO, but we do know about Rhino.
If you're looking for a basic explanation of what a keyword or a type is for, perhaps with an example, MSDN is the best first choice. In fact if you google the name a of a .NET type, the first hit is almost always an MSDN page.…
Added by David Rutten at 2:03pm on December 3, 2014
umbrella of Urban Heat Island (UHI) and I am going to try to separate them out in order to give you a sense of the current capabilities in LB+HB.
1) UHI as defined as a recorded elevated air temperature in an urban area:
If you have access to epw files for both an urban area and a rural area, you can use Ladybug to visualize and deeply explore the differences between the two weather files. Ladybug is primarily a tool for weather file visualization and analysis and it can be very helpful for understanding the consequences of UHI on strategies for buildings or on comfort. This said, if you do not have both rural and urban recorded weather data or you want to generate your own weather files based on criteria about urban areas (as it sounds like you want to do), this definition might not be so helpful.
2) UHI defined by air elevated air temperature but viewed as a computer model-able phenomenon resulting primarily from urban canyon geometry, building materials, and (to a lesser degree) anthropogenic heat:
This definition seems to fit more with they type of thing that you are looking for but it is unfortunately very difficult and computationally intensive such that we do not currently have anything within Ladybug to do this right now. I can say that the state-of-the art for this type of modeling is an application called Town Energy Budget (TEB) and this is what all of the advanced UHI researches that I know use (http://www.cnrm.meteo.fr/surfex/spip.php?article7). Unfortunately for those trying to use it in professional practice, it can take a while to get comfortable with it and it currently runs exclusively on Linux (this does mean that it is open source, though, and that you can really get deep into the assumptions of the model). A couple years ago, a peer of mine translated almost all of TEB into Matlab language making it possible to run it on Windows if you have Matlab. He wrapped everything together into a tool called the Urban Weather Generator (UWG), which can take an epw file of a rural area and warp it to an urban area based on inputs that you give of building height, materials, vegetation, anthropogenic heat, etc. I would recommend looking into this for your project, although, bear in mind that is it not open source like the original TEB tool and that you may need to get a (very expensive) copy of MATLAB (http://urbanmicroclimate.scripts.mit.edu/uwg.php).
3) UHI as defined by a thermal satellite image of an urban area depicting an elevated average radiant environment that reaches a maximum a the city center and changes by land use:
This is the definition of UHI that I am most familiar with and was the basis of much of my past research. I feel that it is also a definition of UHI that is a bit more in line with where a lot of contemporary UHI research is headed, which is away from the notion of UHI as a macro-scale meteorological phenomena that is averaged as an air temperature over a huge area towards one that accepts that different land uses have different microclimates and (importantly) different radiant environments. While the air temperature difference between urban and rural areas usually does not change more than 1-4 C, the radiant environment can be very different (on the order of 10-15 C differences). The best way to understand UHI in this context is with Thermal satellite images, for which there is ha huge database of publicly available data on NASA's glovis website (http://glovis.usgs.gov/) or their ECHO website (http://reverb.echo.nasa.gov/reverb/#utf8=%E2%9C%93&spatial_map=satellite&spatial_type=rectangle). I tend to use thermal data from LANDSAT 5-8 and ASTER satellites in my research. Unfortunately, there is a lot f bad data with a lot of cloud cover mixed in with the really good stuff and it can take some time to find good images. Also, there aren't too many programs that read the GeoTiff file format that you download the data as. I know that ArcGIS will read it, a program called ENVI will read it (I think that the open source QGIS can also red it). I have plans to write a set of components to bring this type of data into Rhino and GH (I may get to it a few months down the line).
4) UHI as a computer model-able notion of "Urban Microclimate" with consideration of local differences and the local radiant environment:
This is where a lot of my research has lead and, thankfully, is an area that Honeybee can help you out a lot with. EnergyPlus simulations can output information on outside building surface temperatures and these can be very helpful in helping get a sense of the radiant environment around individual buildings. Right now, I am focusing just on using this data to fully model the indoor environments of buildings as you see in this video:
https://www.youtube.com/watch?v=fNylb42FPIc&list=UUc6HWbF4UtdKdjbZ2tvwiCQ
I have plans to move this methodology to the outdoors once I complete this initial application to the indoors. For now, you can use the "Surface result reader" and the "color surfaces based on EP result" components to get a sense of variation in the outside temperature of your buildings.
I hope that this helped,
-Chris
…
via MIDI controllers.
my idea is to link PureData to GH via UDP. why pure data? cause' i can relate data like GH to generate numeric relations (and link it to audio generation)
so far i got PD and Processing to talk, but i can't get to grasshopper.
i use this definitions to make pd and processing to talk http://ubaa.net/shared/processing/udp/ and this GHX to get the data to GH http://www.grasshopper3d.com/forum/attachment/download?id=2985220%3...
i got this data from this post but the GH definition doesn't work for me. i have tried LAN definitions and "the engine" as well but they both freeze, even if i send data thru processing or PD.
i have a lot of questions at this time
1.- why processing tells me that i am getting the data from diferent ports, while i'm using 6000?
2.- why in the UDP definition i get no data out, even if it should say something like "waiting fordata/port/etc.." that's defined in the C# capsule
3.- is there a direct way to get midi data (key and CC) to GH
i also tried to use firefly to get the data via COM port. i know you can do this trick in processing but i just don't know how.
well. if anyone could help me i would share the results here (since it's a magister, results shoud be very interesting)
UDP has allways been a unsolved issue on other posts. maybe we could work it out ;)
Thanks…
Added by jota aldunce at 8:43am on September 28, 2010
ts in extreme aliasing effects that carry into the 3D realm as regular steps along what should be smooth surfaces.
On sleeping on it, I realized I hadn't yet tried fast Unary Force on fine quad meshes from the standard Grasshopper meshing system that includes the meshing options component.
Bingo! It's fast now. Workable. I don't need super fine meshing since I'm not running from aliasing. I can still use rather fine local meshes since Unary Force lets Kangaroo do a simple thing just in the Z direction rather than a full 3D force.
After only a minute or so of Kangaroo initialization that slows the interface, each of a dozen needed cycles takes half a second, FOR THE ENTIRE GRAPHIC.
I just set the timer to 1 second so I can move around the interface, and I double click the Windows taskbar timer shut-off to enjoy the result.
WHILE RUNNING VIA TIMER, IF I CHANGE A SPRING/FORCE SETTING IT SUFFERS NO DELAY AT ALL AND JUST ALTERS THE OUTPUT OVER TIME. I can change Unary Force from 20 to 100 and immediately see the bigger areas balloon like crazy:
It's fast enough overall to play with, yet the individual steps are slow enough that it's fun to watch the hysteresis as it overshoots back from 100 to 20 Unary Force, going concave in the middle of bulges then back to more shallow hills.
A force of 1000 is a bit disturbing, I wonder if I can tamp it down with greater spring strength or will that just give me the same result as before?
Looks like it's the same, just the ratio matters. Makes sense I guess. At one point it blew up though. Hitting the reset button...a minute later it blows up again...and just doesn't like huge numbers, so I don't see an advantage playing with bombs. The high mesh strength is pulling the mesh apart.
With low Unary Force and moderate mesh tension, you get flat tops, as if the overall force on the mesh fighting its anchored edge vertices, is enough to displace it, but the surface itself is too stiff to care about local gravity.
Then you have less flat areas as you increase Unary Force:
Weird, there *is* some sort of absolute effects, rather than just relative, between Unary Force and spring stiffness, since now I'm getting flat tops even in the extreme:
Oh, wait, strike that, I may be seeing but a single step with the timer off, subject to hysteresis. With the timer back on...it can sit there a minute...not locked up but just idling...until you see the Display > Widgets > Profiler time start cycling to near half minute numbers...makes you want to hit the reset button...and indeed that locks the interface for another initialization...and yes, it was merely hysteresis, not an equilibrium result. My former flat tops may have been due to that too, due to my use of the Windows taskbar timer disabler. The lesson is that you can obtain different results by using a long timer setting and just stopping it before it equilibrates.
This script is a keeper, fast and fun after the relatively mild Kangaroo initialization period is over.
The uniform mostly quad meshing is all done in Grasshopper too, from any flat surface with holes, especially from images of shapes that are traced with potrace to give surfaces with holes.
Could I switch to hex meshes from triangular meshes to do the same thing with fewer vertices?
Are there other forces I can add to smooth the bulging? Letting things bulge is not so bad if you then just scale down the result in Z afterwards (though perhaps the same result could be had with lesser force):
Also, can this same thing be done with possibly faster Kangaroo 2?…
Added by Nik Willmore at 10:02pm on February 21, 2016