Showing posts with label Grasshopper. Show all posts
Showing posts with label Grasshopper. Show all posts

Monday, July 19, 2010

Random Archispeak Generator



Some of you may have already seen this...

Post on designalyze.com. It's from the future...

Tuesday, July 6, 2010

Re-territorialization


Common territories of two clusters


Penetration of the generated agents in territory of each cluster


Spacial fabric

Sunday, July 4, 2010

Duplicity - Animation 1






Great Sites

This is a professor from U of Michigan

This is some grasshopper wizard kid from Romania, who looks a little like Chris Angel
Most of his models look exactly how I imagine my spatial corollary, maybe a lot of you guys think the same thing when you see it. Any clues how he's doing it? I was trying to figure out the one that uses voronoigroups, but his screen cap is very low res.

I just put up a series of tutorials I found on the grasshopper3d.com discussion forums. I uploaded them to basecamp.

Friday, July 2, 2010

100702_scanner residue




Using the scanner to create spatial residue. The scanner is in a 3d field and the rail-like curves that you see above are part of the original scanner def. They are the interpCrvs that were used as an index to show how many anomalies are present at that moment. The curves are drawn through some of the original points that fell out of the scanner set, they are not random points. The number of anomalies drive the curve division and from each division point search for other division points on another curve within 'some' proximity. I thought that I would try to evaluate the proximity links against each other (eg- density of lines would create a surface..) but it's not quite working. I think it's time to move on to something else...but what?

Thursday, June 24, 2010

100624_Scanner



Baking color in Grasshopper

Hi guys,

I have got several useful components for backing colors and materials. You can found them under Maysam folder in DropBox. Also there are other vb.net scripts for creating fractal and recursive function.

Here you can find more practical component.

http://www.giuliopiacentino.com/grasshopper-tools/

Maysam Ghaffari - Self-organization








Super model city offer an alternative approach to rethinking about cities, how they are formed and how they function. It is an integrated whole system which can exchange energy, matter and information. They are self organize and can evaluate themselves and learn from its experiences in order to develop a better conceptualization of organizational life.

In this context, city is defined as interwoven layers of communication and coordination between micro and macro level. Energy and information flow among the different elements and develop a number of dynamic processes which affect the cities’ organizational behavior. This system involves inputs, processing and outputs of energy and information which leads to the further development of self-organization.

Designing a city begins with investigation of certain question in individual relationship between components and data structure. This dynamic network structure deals with the production, distribution and consumption of data in a particular system. This interwoven data structure helps us to understand and analyze the city behavioral patterns both quantitatively and qualitatively for prediction of future behavior.

Thursday, June 10, 2010

Nodal Field_in process

The idea is to create a point group that is assigned a series of threshold radii and sorted into new lists based on 'x' threshold while simultaneously passing on specific attributes to a second point group.

















Here is the same idea, but instead I started with a point grid and used the second point group as attractors to translate the node field along a vector.




GH_Clash of the Agents_Adnan Ihsan

I have tried to develope a system where two elements or agents are restricted to a linear domain. One of these agents, the circle, has a sequential/programmed motion, where as the other agent, the triangle, has an unpredictable motion path. Moments at which they happen to interact leads to a trajectory towards the closest available point.

I have attached one cycle of the event. Agents interact at frame 0 , frame 7, and frame 9.