Update – Kickstarter goal reached, Inflato lives to pop up soon!

Read More:

The Atlantic Cities. “New York Could Get a Classroom Inside a Dumpster” Oct 16, 2013

FastCompanyDesign. “Architect Wants To Reclaim Public Space, One Dumpster At A Time” Oct 31, 2013

FastCompanyLabs. “The Future of Pop-Up Hackspaces Is… Dumpsters?” Oct 21, 2013

Architizer. “Can An Inflatable Pop-Up Dumpster Help NYC Residents Transform Their Neighborhoods?” Nov 1, 2013

Treehugger. “Presto, Inflato! Dumpsters to be reclaimed as “pop-up” public spaces in NYC” Nov 5, 2013

DesignBoom. “Inflato Dumpster Gives NYC a Blow-up Mobile Learning Lab.” Oct 18, 2013

Gothamist. “One Day We Will All Live In Dumpsters.” Oct 22, 2013

UntappedCities. ““Inflato Dumpster”: Turning a Dumpster into an Inflatable Classroom in NYC” Oct 16, 2013

I’m really excited to introduce a new project by the Department of Urban Betterment (John Locke and Joaquin Reyes) – The Inflato Dumpster, and the accompanying KICKSTARTER campaign:

http://www.kickstarter.com/projects/851648659/inflato-dumpster

A pre-emptive, heartfelt thank you! Also, please email me if you’d like to help out in any way, with any ideas for site, or just to say hi.

Project Description:
As public space in New York becomes increasingly privatized and commodified, The Inflato Dumpster seeks to counter that tendency by serving as an open, engaging street-level structure that acts as a mobile learning laboratory.

For five days this fall, the temporary, dome-like structure will confront the tendency of city space to limit public exchange by serving as a large scale urban intervention in which workshops to create and explore the possibilities for smaller, targeted urban interventions will be produced and deployed from within.

We believe that the architecture of the Inflato Dumpster can act as a networked node of neighborhood information – using screens and sensors to produce constantly updating streams of demographic and subjective information regarding the local site – and then in turn produces a smaller constellation of satellite interventions created by locals and visitors alike. We envision the site as a hub for all, to create a gathering space where programs can be curated to the needs of the community.

Visitors can enter, visualize, learn and explore various urban techniques and strategies before leaving the structure armed with the knowledge to redesign their own total environment.

Initially, we see this space as taking the form of a hacker workshop where simple, off the shelf components can be procured and combined to provide local residents with access to technology and a means for hands-on testing of public space concerns.

The structure’s faceted shape, materials and unexpected location will all combine to make for a fun, dynamic addition to the streetscape with the inflated structure evoking the blow-up castles of street festivals and the long history of big inflatable space from AntFarm to Spacebuster. We’ve been seeing a lot of construction dumpsters on the streets in the neighborhood, they symbolize change but also an opportunity for us to create something new.

As residents of various areas in New York City, we aim to take advantage of the mobile, temporary nature of the Inflato Dumpster to pop-up in areas that we love, neighborhoods where we live and around the people and communities that we know. We’ve identified a number of intersections and areas where the workshops and education laboratory programs would have the greatest impact, so stay tuned as we finalize the exact spot.

The Inflato Dumpster will be built from readily available lightweight materials and combined into a structure that can be inflated and occupied. Consisting of gold and silver mylar, it will reflect the light filtering down from the trees and create a shimmering, inviting structure on the street.The logic behind the materials is as follows: up to a datum level of approximately six and a half feet, the structure will be made of clear polyethylene. This is an inexpensive, common and biodegradable plastic material that will allow views both from the street into the space, and from within back out to the street. The street side will be primarily comprised of gold and silver mylar material with small clear holes throughout to allow light to filter in, evoking the feeling of being under a shaded tree. The highest point on the dome will be approximately 28’ and the space will comprise nearly 2000 cubic feet of overall volume. The sidewalk side will be built from faceted white tyvek building wrap, used both for its lightweight capabilities and also to provide a surface for projections of film and data. The final and most important material is of course the dumpster, a 30 yard refuse container that is 23’ long by 8’ wide and will form the solid base of the intervention.

Looking forward to seeing you in the dumpster!

A link for high resolution images:
https://www.dropbox.com/s/8x1wpc1m3wo6nfx/INFLATO_DUMPSTER_IMG.zip

In conjunction with a form-finding exercise in Kangaroo, I was searching for a way to render a single, closed mesh as if it were an inflatable form made of individual, stretchy panels – think soccer ball. Since I was already starting with a mesh, I needed something that could extrude and manipulate individual mesh faces normal to the face centroid with a certain degree of flexibility. I couldn’t find much online, so I put together a super basic, simple grasshopper file. Aside from some of the typical drawbacks with using meshes in Rhino (which have actually become a lot more workable in Rhino 5), I think it’s reasonably clean.
Download here: http://gracefulspoon.com/downloads/EXTRUDE_MESH_FACE-NORMAL_FINAL.gh

Parametric facade apertures on swooping surfaces are out, parametric emoticons are in. A quick experiment using the image sampler node in Grasshopper to parametrically control the relative ecstatic to furious expression of an emoticon. A sampled pure white pixel on the original background image produces full-mouthed, googly-eyed happiness, while a sampled black pixel will unleash furrowed-brow, pursed-mouth rage. Grayscale pixels produce the range of conflicted emotions in between. Grasshopper definition can be downloaded here, works with any image, but simpler images with fewer colors tend to produce more legible results.

I’ve used genetic algorithms for form finding with a previous project, and that time I was using a tenuous connection between catia, modeFrontier and Robot. So I was excited to see grasshopper begin to natively implement an evolutionary solver with Galapagos. As an initial experiment I started with a classic, something simple – I wanted to find a tessellated form that would enclose the maximum volume using the smallest surface area. I’d like to think that this would produce something unexpected, but it’s pretty much the definition of a sphere. I set up the parametric model to wiggle all over the place with various triangulated densities and differing number sided polygons at each joining segment. My hypothesis was that the form would tend toward symmetry and evolve into the aforementioned spherical shape. I believed that the polygons would tend toward the most sides possible to more closely approximate a circle, later generations evolving away from a triangle toward an icosagon. (Just like on Flatland!)

A couple of observations: Galapagos pretty quickly found the overall shape – smaller radii at the extremes and bulging in the middle – the beginning of a sphere. However, while it tended toward bilateral symmetry, it kept a kink in the first segment that prevented the shape from being perfectly symmetrical. I think the solver got stuck in a local minimum as opposed to a global minimum. Perhaps with a higher mutation level or letting it run for a longer amount it could have jumped out of this. On further checks I found that it was correct, after 30 generations and over 2500 iterations, the surviving croissant-like shape of the optimal designs did have a better SF:V ratio than a perfectly symmetrical design. Perhaps it had something to do with the setup of the parametric model or the way the facets resolve themselves at the extremities?

But in general my hypothesis was proven correct. Which leads to the initial problem with Galapagos. There are a lot of opportunities with this type of experiment and people more clever than me will surely do them, but when you can only solve for one objective it becomes difficult to create truly complex solutions. For instance, with my surface area/volume problem there is only one true pareto solution. Eventually Galapagos will find it, or with enough time and a calculator I could calculate this myself. There is one single, optimal solution, it’s just hidden somewhere amongst a number of parametric sliders. Unless you start getting into multiple, competing objectives, then the pareto point becomes a curve and there are multiple valid solutions, each one involving certain trade offs and a criteria for selection. Say you wanted to find a form with the minimum srf area:volume ratio, but also that form had to have the fewest structural members, or provide the most shade on June 21st, or spatially provide the most potential revenue stream for a project stakeholder. That’s when it gets really interesting and opens the possibility for a design space that includes high performing, unexpected results. It’s a great start, and I can’t wait to see Galapagos evolve.

Download the grasshopper definition for version 0.8.0004 here: http://gracefulspoon.com/downloads/Grasshopper_GALAPAGOS_TEST.rar

Spent the better part of the day playing around with the incredibly cool Kangaroo, the live 3D physics engine for Rhino, developed by Daniel Piker. Images are poor substitutes for showing just how fun this tool is to experiment with, so to get a better idea of the program’s potential see Daniel’s great vimeo page. The above images were part of a series of experiments in dropping a series of cubes through an obstacle course, and pulling points around on a 3D space frame. They were based on tutorials found at the always helpful and inspiring Kangaroo google group page.

The “Curve CP” node in Grasshopper allows a curve to act in a similar manner to a point attractor, but checks the distance for the closest points along the entire length of the curve as opposed to one single, solitary point. Here, the curves are generated from a text object. It basically becomes multiple attractor curves, something that could be used for super graphics or possible a glazing frit pattern. Things get a little hairy in the grasshopper definition (see below) when you start getting a lot of letters, so that needs to get resolved for this to work with an entire sentence, or anything longer than four letters. A script font that creates one continuous line would work perfect, but is something of a cop-out, so in the meantime I may have to consult the pros on the grasshopper forum.

A simple test based on Sanghoon Yoon’s Grasshopper definition for using the new image sampler node, I swapped out a text image for an image image, because, well I just like fonts and 3D I guess. One of the things that’s cool is that the image is “live,” so as you change the text, the grasshopper definition updates. And of course you can also parametrically control the size of the pixels, the multiplication of the heightfield and the overall size of the surface. To get a random color on each polysurface, I modified Dale Fugier’s script located on the rhinoscript wiki page to include a function to assign the object color to the material color so it will render out in vray. See grasshopper definition and code below:

Edit: Added Link to download grasshopper definition and source image file. Click Here (zip file).

From Dale Fugier’s ObjectColor.rvb:

Sub SetObjectColorRandom

Dim objects, red, green, blue, i, material

objects = Rhino.GetObjects(“Select objects for randomly color change”, 0, True, True)
If IsNull(objects) Then Exit Sub

Rhino.EnableRedraw False
For i = 0 To UBound(objects)
red = Int(125 * Rnd)
green = Int(200 * Rnd)
blue = Int(180)
Rhino.ObjectColor objects(i), RGB(red, green, blue)

Call Rhino.ObjectColor (objects(i), RGB(red, green, blue))
material = rhino.AddMaterialToObject (objects(i))
Call rhino.MaterialColor (material, RGB(red, green, blue))
Call rhino.MaterialShine (material, 255)
Next
Rhino.EnableRedraw True

End Sub

I didn’t really cut anything from the presentation included below. So, yeah, there’s a lot of slides. It’s (almost) the entire final presentation. I left it pretty much intact because not only 1) I can never edit my own work, but 2) the project is conceived more as a sci-fi narrative of Beijing and it will hopefully make more sense if read in complete order. And you can always just scroll way down to the end for some sweet images. This was for Ed Keller’s SpeedTerritoryCommunication studio, Spring 2009.

quick project description:
Architecture is a system of control predicated on limitations. This project is a study of the existing control systems in Beijing and a projection of how architecture and technology will merge to change not only prisons, but also the urban environment, the social stratification of society. Also addressed are what confinement and freedom will mean in relation to our relationship with how we build our world.