adrid/
http://www.24studiolab.com/#/
or write to:
24studiolab@gmail.com
Course will be variable (during the weekend or during the week) depending on the convenience of the assistants.
COURSE PROGRAMME (spanish)*
Rendimiento formal / Estructural
Galápagos, algoritmos genéticos
Kangaroo physics
Optimización mediante fuerzas fisicas
Form Finding
Surface Relaxation
Edición avanzada de malla
Isosurface and fractals surface
Karamba
Rendimiento energetico
Heliotrope / Ghowl
Geolocalización
Geco
Kangaroo shape optimization
* COURSE PROGRAMME may vary depending on the demand of the assistant
…
Added by 24StudioLab at 2:10am on December 26, 2013
the optimizing process I am using Karamba+Galapagos.
Unfortunately I am getting some errors when calculating the maximum displacement of the bridge, using the Karamba “analyze” component.
95% of the times (when moving a slider), it goes well. I am getting deformations of 100-200mm as expected, and the deformed shape in the Rhino view looks good.But in the last 5%, I get unreliable deformations of 50000mm or more. What I dont understand about this is that the deformed shape in the Rhino view still looks normal. Another weird thing is if I move the slider away from the position and then back to the same position again, I suddenly get the result of 100-200mm. It seems more or less randomly when it gives the strange results.
The model has over time become pretty big. When moving a slider, calculation time is about 5 to 10 sec.Could this be the reason for the errors? Any other ideas about what goes wrong?
Thank you in advance for your answer.Attached please find the GH file.
Best regards Soeren…
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
…
oxes in the most efficient way within boundaries of object and follow the following constraints. The Goal: To fit 125 boxes in the most efficient way inside the total area. Starting Variables: (1) 40% of the Boxes need to be between 60 and 85MSQ. (2) 40% of the boxes need to be between 86 and 110MSQ.
(3) 20% of the boxes need to be between 111 and 125mSQ. The breakdown doesn’t have to be exact to give the script some flexibility. Meaning you can have 41% +39% +20% = 100%.
Constraints:
1. A total MAXIMUM area of approximately 1600M per layer.
2. A maximum of 8 layers for a total of 12,800M per layer. Optimization can make as little or as many as 8 layers vertical to accommodate all boxes. So if script can achieve with 3 levels great. If needed all 8 levels, that's fine too. However, pay attention to next constraint (#3).
3. Approximately 15% of that space on each layer is off limits. (internal area) (blue area in example script) and the shape of the boundary cannot be modified to accommodate box design resulting in jagged lines for the internal area.
4. All generated squares/rectangles must have at least 3m touching an outside border (The Green lines).
5. All boxes must also be touching minimum 1M of border of the blue line.
6. If the boxes generated go outside the green boundary, they must be fillet to maintain the straight lines of the green boundaries.
7. Get as many of the boxes as possible a view towards the dots.
Could any one provide me a method or a way to start, if there are any useful links, please share with me. Thank you!…
Boxes in the most efficient way within boundaries of object and follow the following constraints.
The Goal: To fit 125 boxes in the most efficient way inside the total area. Starting Variables:
(1) 40% of the Boxes need to be between 60 and 85MSQ. (2) 40% of the boxes need to be between 86 and 110MSQ.
(3) 20% of the boxes need to be between 111 and 125mSQ. The breakdown doesn’t have to be exact to give the script some flexibility. Meaning you can have 41% +39% +20% = 100%.
Constraints:
1. A total MAXIMUM area of approximately 1600M per layer.
2. A maximum of 8 layers for a total of 12,800M per layer. Optimization can make as little or as many as 8 layers vertical to accommodate all boxes. So if script can achieve with 3 levels great. If needed all 8 levels, that's fine too. However, pay attention to next constraint (#3).
3. Approximately 15% of that space on each layer is off limits. (internal area) (blue area in example script) and the shape of the boundary cannot be modified to accommodate box design resulting in jagged lines for the internal area.
4. All generated squares/rectangles must have at least 3m touching an outside border (The Green lines).
5. All boxes must also be touching minimum 1M of border of the blue line.
6. If the boxes generated go outside the green boundary, they must be fillet to maintain the straight lines of the green boundaries.
7. Get as many of the boxes as possible a view towards the dots.
Could any one provide me a method or a way to start, if there are any useful links, please share with me. Thank you!
…
re is my problem... I need to arrange Boxes in the most efficient way within boundaries of object and follow the following constraints.
The Goal: To fit 125 boxes in the most efficient way inside the total area. Starting Variables:
(1) 40% of the Boxes need to be between 60 and 85MSQ. (2) 40% of the boxes need to be between 86 and 110MSQ.
(3) 20% of the boxes need to be between 111 and 125mSQ. The breakdown doesn’t have to be exact to give the script some flexibility. Meaning you can have 41% +39% +20% = 100%.
Constraints:
1. A total MAXIMUM area of approximately 1600M per layer.
2. A maximum of 8 layers for a total of 12,800M per layer. Optimization can make as little or as many as 8 layers vertical to accommodate all boxes. So if script can achieve with 3 levels great. If needed all 8 levels, that's fine too. However, pay attention to next constraint (#3).
3. Approximately 15% of that space on each layer is off limits. (internal area) (blue area in example script) and the shape of the boundary cannot be modified to accommodate box design resulting in jagged lines for the internal area.
4. All generated squares/rectangles must have at least 3m touching an outside border (The Green lines).
5. All boxes must also be touching minimum 1M of border of the blue line.
6. If the boxes generated go outside the green boundary, they must be fillet to maintain the straight lines of the green boundaries.
7. Get as many of the boxes as possible a view towards the dots.
Could any one provide me a method or a way to start, if there are any useful links, please share with me. Thank you!
…
H are automated by using them as an ActiveX, the C# script object fails on the simplest tasks. That is, when initiating Rhino and GH externally (as by the following C# code):
Rhino5Application rhino_app = new Rhino5Application();
dynamic grasshopper = newRhino.rhino_app.GetPlugInObject("b45a29b1-4343-4035-989e-044e8580d9cf", "00000000-0000-0000-0000-000000000000") as dynamic;
The following very simple C# script component fails because it cant cast its input:
The c# code at the component is only:
Line 89 is simply casting of the input. Clearly, this makes the usage of C# component, under automation, impossible which is a major loss.
As said, when initiating Rhino and GH manually , all works well as in the following:
Any ideas why it misbehaves under automation (as an Active X ) ?
I added the gh file of this example.…
f my list.I don't understand why, but I guess I must be too young user ^^In the original list, i have a path {0;0;0;4} with two index and after the random node, {0;0;0;4} has 88 index.Items are not correct?I would have a comparable structure has the right list on my jpg (photomontage...)How I can do that?Thank you in advance
…
Salimzadeh
Assistant: Saeede Kalantari a Fabrication Project for “Structural Systems” BA Course;
Participants: Maryam Ahmadi, Amir Ansaripour, Kimia Bagheri, Mohammad Hassan Habibi, Mohammad Mehdi Zamani, Sam Sabzevari, Zeynab Seyed Zehtab, Mohammad Mehdi Shahroudi, Niloofar Taheri, Masoumeh Abedini, Pedram Feyzi, Asma Karamouz, Kimia Karbalayi, Hamed Kamalzadeh, Fateme Kianinejhad, Maryam Mohammaddoust, Faeze Motamedian, Romina Mehrbod, Sara Naderi, Yasaman Nejati, Kimia Nourinejhad, Morteza Vaziri, Mehragin Baghi, Sana Motallem, Helpers: Milad Amiri, Soroush Raesi, Mahla Behrouz, Alireza Sheykhlar, Shadi Khaleghi, Mohaddese Taheri, Alireza Mohammadi, Mehrnoush Kia
Photography: Sara Ahmadi, Hasan Habibi
Video production: Shayan Khalilbeigi
Special Thanks To Dr. K. Taghizadeh, Dr. H. Mazaherian, Dr. Y. Eslami and Mr.Aliari
With Support Of: Center Of Excellency In Architecture Technology – CEAT - , Collage of Fine Arts University of #Tehran, ‘Art And 4th Dimension’ Symposium, Iran #Fablab and #Fologram
Rhino/Grasshopper and C# Definitions of form-Finding and Member-generation :
http://bit.ly/2RUKc5i…