ellation tool of GeomGym in Grasshopper.
The design looks for a new brick topology which is in the shape of two generative elements of Weaire-Phelan structure; dodecahedron and tetrakaidecahedron. An innovative approach is taken by applying varying types of solutions and details to the new brick elements.
There are other good examples and winners which are worth looking into. Our sheets can be downloaded from here.
All comments appreciated.
We would like to thank Jon Mirtschin and anyone who contributed to this tool.
Xue Ai and Serdar Aydin…
Simpsons episode were Bart goes into a mall and in the time he goes in and out of a shop all others have been turned into Starbucks.
I personally don't like it but you can't say they are crushing all competitors because, as far as i know, all owners of those software packages voluntarily sold their property for a good price. I would actually be more worried that an antitrust lawsuit was filed against Autodesk.
For example, this is what happened with Rockefeller's Standard Oil:
The antitrust case against Standard Oil also seems absurd because its share of the petroleum products market had actually dropped significantly over the years. From a high of 88 percent in 1890, Standard Oil's market share had fallen to 64 percent by 1911, the year in which the US Supreme Court reaffirmed the lower court finding that Standard Oil was guilty of monopolizing the petroleum products industry.[32]
The court argued, in essence, that Standard Oil was a "large" company with many divisions, and if those divisions were in reality separate companies, there would be more competition. The court made no mention at all of the industry's economic performance; of supposed predatory pricing; of whether industry output had been restrained, as monopoly theory holds; or of any other economic factors relevant to determining harm to consumers. The mere fact that Standard Oil had organized some thirty separate divisions under one consolidated management structure (a trust) was sufficient reason to label it a monopoly and force the company to break up into a number of smaller units.
To economists, "predatory pricing" is theoretical nonsense and has no empirical validity, either.
In other words, the organizational structure that was responsible for the company's great efficiencies and decades-long price cutting and product improving was seriously damaged. Standard Oil became much less efficient as a result, to the benefit of its less efficient rivals and to the detriment of consumers.
From: http://mises.org/daily/2317
(Beware, that site is very ideologically charged)…
points within the bounds of the site boundary and use each location as an attractor point controlling a variable at each point in the grid (radius of a circle/height of a cube/colour based on a gradient etc.).This would be based on proximity to the attractor points with the effect of each attractor point essentially scaled by the percentage associated with it. For example a location with 88% visitor rates would have a more dramatic effect than a location with 26% visitor rates.
I've had a bit of a play around but can't seem to get beyond the point of what is shown in basic point attractor tutorials online. I'm definitely a novice.
Here's how I figured it would be done:
1) Create a grid of source points within a boundary curve.
2) Select 18 pre-defined attractor points.
2) Measure the distance between the source points and the attractor points.
3) Invert this data so that variables increase with proximity rather than decrease.
4) Give each of the attractor points a strength value from 1-100% based on the visitor rates.
5) Use the scaled data to control a variable at each of the source points.
6) Create some way to control the drop-off rate of the effect from each point.
It is at step 3 that I get completely lost.
I hope my description is clear. Any help would be greatly appreciated,
Adam
…
button to generate such complicated and unruled geometry. Seriously, if you don't understand a geometry, how can you solve the structural needs and the bloody fabrication. Giant fast prototyping machines doesn't exist!
In a era where ressources and energy is getting scarce, I don't understand this trend of fancy no sence look like organic buildings. They just look organic in our human perception. Nature builds things with define physical and biochemicals rules, and this is why when they grow, they look like that. You should study Frei Otto publication from the 80's.. the IL publications. They were using physical models to generate physical structures that would be build in the physical world. Computers and softwares are dangerous as we distach from reality.
We put all this effort to generate these fancy forms, but no brain is put in structural optimization, energy efficiency (for instance in relation with the sun, or other natural elements)
IT technology goes faster than the time we have to reflect about it. (not talking about the technics).
As Frei Otto told me personally in our last discussion (talking about philosophy and architecture): " We have to define the OPEN QUESTIONS. Once these questions will be defined, you'll get answers".
I think we are getting to a question here: " How to use this technology to solve problems in Architecture?" Before that " What are the real problems in architecture?"
Maybe David should make a component for that? For instance, a button that could solve the loging and infrastructure problems for these millions of people living in the slums of Mumbai...
What about that Krish Raj?…
igner called Christophe Barreau.
http://www.christophe-barreau.fr/
We design sail catamarans from 40' to 80' and occasionally some other stuff.
One may know it's a quite uncertain activity so I find myself tacking upwind on other seas from time to time, such as product design and jewelry. I also have side projects with mates regarding hi-fi or RC planes.
As for "static" architecture I had a couple experiences working on large "complex" buildings. Sadly French architects are not very familiar with BIM, parametric or even precise 3d modeling so I've been hired to introduce GH in the workflow.
I'm an un-authorized rhino trainer, sorry to say, but I just love teaching and meeting new faces, although I'm not as devoted as Danny ;)
I've been using GH both for modeling and analysis for about three years now and I'll daresay I became pretty good at it... I'm not a geek at all but it's just so useful, and it's really worth it sometimes €€€!…
ke 20 samples per day, 50 days out of the year for 1000 samples) from each panel and calculate the % of occlusion. Allow that % to be the % "open" of each panel. Design the opening in each panel to be something cool and proportional. Profit.
You could even break it down by a finite number of available panel types(say 0%, 20%, 40%, 60%, 80% open) and create an efficient production. All of these things can be paramterized to allow for more samples or more panel types as needed or based on your calculation limits.
The only exception would be proper environmental analysis, say, if you were trying to reduce solar gain in summer and allow for it in winter. You would want to split this calculation between when you need to be gaining heat and where you want to be shading. Then extrapolate the percentage between the two. You may even need a gradient of heat gain through fall/spring. The possibilities depend on how much you know about the mechanical requirements of the area/building.
That would be my approach. If I have more time tonight I will try and put something together on this as its been something I'd like to have in my back pocket....
Edit: You would also need to analyze the angle of incidence as it could have an effect on the amount of solar gain.....…
oks like all your GH components are disabled? I just tried baking the cone from my earlier code and using that but can't see anything at all.
OH! You had 'Display | Shaded Preview' disabled - why? Now I see that you have 80 X 55 'SFrames', which will be VERY SLOW. I never understood why you abandon 'PopGeo'? But that many points will be extremely slow either way. I won't wait that long.
You're making this way too hard for me, bobbi.
I said early on that it's best to work with a very low count until everything works properly. Solid unions are one of the ragged edges of Grasshopper; slow and prone to failure, depending on the complexity of the geometry (co-planar surfaces, etc.).
Good luck!
P.S. I can see two problems here:
Surface normal is in instead of out.
You didn't 'Cap Holes' on the lofted tubes so they aren't solid "Closed Breps".
I have no clue what you're doing. Do you? :)…
k on forum?
or
B) install from a networked location?
Second question.
If you download from link do you:
A) read the post because you want to see what changes have occurred?
or
B) ignore the post as you are too excited to get the latest version up and running?
Third question.
When confronted by a demanding LOL cat telling you to update software do you:
A) nod approvingly and think "I must do that"?
or
B) freak out and get a sudden urge to eat cheeseburgers?
In all seriousness question three can be omitted.
EDIT: 80 views and only two posters! (thank you Simone and Luis).
I am actually interested in the results
SOLUTION TO DLL ERROR: install this …
Added by Danny Boyes at 3:32am on October 25, 2011
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
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