ve Intermediate Insight of Computational Design Strategies While Exploring Rangoli Art form in 2 Dimension and 3Dimesion in which Participants will not only be trained to Digitally Design using Parametric software's but they will also be trained to Fabricate them in reality.
This Course will be explored in manner where Participants will understand inter-dependency of Rhinoceros3D & Grasshoper3D through a unique Hybrid Teaching Method While Exploring Rangoli Geometry .
The course will also take participants through Topics such as - Computational Thinking, - Computational / Parametric Design, - Computational Rangoli Exploration, - Digital Fabrication, - 3D Visualization ( Rhino3D 6), - Making Info-graphics & Design Diagrams ( Rhino3d 6 ).
Participants will also be doing a Project at the last Leg of Workshop in which they will implement the skill they gained in first Few Weeks.
{ Tutor } Nitant Pixelkar (Computational Artist / Designer, Mumbai)
Nitant Hirlekar A.k.a. Pixelkar, is a Computational Artist. He graduated from Rachana Sansad school of Interior Design 2011, Mumbai. In Academics He Bagged Two Gold and One Silver Medal on National Level.
In his post academic days, he came across the Emerging Computational Techniques in Design industry in which Algorithm serves as a main Functional part. He uses Algorithms to Deconstruct the Captured images in Pixelated form using the Grid of the Desired Indian Art Forms.
He Heads Collective Group Named "Mutation Lab” which is a multidisciplinary Design & Art Cell. Where they Explore Computational Approach while Designing Various Scales Spatial Installation, Digital Fabrication, Interactive Installations and Computational Consultancy for Various Architects.
He has exhibited his first artwork in Kalaghoda Arts Festival for in 2014 And further in 2016 and 2017.In 2015 he exhibited in Dharavi Biennale” organized by Wellcome Trust,London & Sneha Organisation, Mumbai Which was internationally acclaimed. In 2016 he got Featured on a TV show - The Creative Indian's as an Absolut Creative Indian of the Week.
Academically he is been involved in Many Computational Design Workshops / Elective Studios for School of Interior Design (Rachna Sansad), LS Raheja College of Architecture & Rat-Lab (Delhi).
{ Participants } The Course is aimed at Architecture, Interior Design, Product Design,Furniture Design & Fashion Design Students and Professionals. However we would be thrilled to have any Interdisciplinary Artist / Creator/ Maker to join the Course as well.
{ Level }
Intermediate
{ Timing } Monday To Friday - 6:00 PM to 9:00 PM (15 Hours/ Week = 5 Week X 15 Hours = 75 Hours )
{ Dates } Registration Ends - 24th April 2020 **Subejct to Availablity
{ Workshop Dates } 4th May 2020 To 5th June 2020
{ Venue } Lower Parel,Mumbai ( Details To Be Announced )
{ Schedule }
{Registration Form}…
ack to .ghx?
This is in relation to a discussion I've been having with David Rutten & Scott Davidson about GH consuming memory in a relatively large GH definition (~. I think what I've learned from this is that one should limit the size of the GH file, or put some incremental stops in the definition to limit the length of calculations that it runs at once. Is this a valid conclusion?
The GH file we're talking about is 7Mb & the Rhino file is about 120Mb, but when working w/ the GH def. I try to only keep about 2 curves turned on.
Here's a summary of the discussion:
Hi Mike,thanks for sending it over. I've been fiddling with the file for about 10 minutes and it climbed from 1.7 GB to 1.9GB, but then I've been switching previews on which means more meshes get calculated so you'd expect a higher memory consumption. It is possible we're leaking memory, but if you're working for hours on end, memory fragmentation might also explain part of the increase. Basically, memory gets fragmented just like disks get fragmented after prolonged use, difference is that memory cannot be defragmented unless you restart the application and allow it to start with a clean slate. I'll try and find any leaks we may have missed in the past.Goodwill,David
──────────── David Rutten
On 09/03/2011 06:19, Mike Calvino wrote:
Thanks very much David for the quick response. I've attached the files zipped. I can't figure out what's doing it. After working in the file for awhile, the memory usage in the Windows Task Manager climbs . . . it's gotten to 1.57+Gb before I exited GH & Rhino5Wip & let it dissipate, then restart & work for awhile before it does it again. It probably takes like 4 or 5 hours before it gets that high. That's the highest it's gotten, & that only happened while I was working in a Rhino file that had all of the elements baked into it - turned off at least, but it still climbed to 1.57+Gb. It seems to climbs when you work in the file & move around in both the GH def. & the Rhino file. Like turn on a few of the Extr components at the right end of the "StandareRibExtuder" groups, you can watch the MemUsage go up, but when you turn them off, it does not go down. - goes up fast at this point. Maybe I need to figure out how to do the definition with fewer components, I'm sure that's part of it, but I must confess, I think I'm still early on in the learning curve.I really hope that this is not operator error on my part & I do apologize up front if it is. I have done a disk cleanup, I have tried excluding .3dm & .ghx files from my NOD32 antivirus, no change. I hope you can find something.Let me know if you have any trouble with the files.See if you find anything & please let me know . . . thanks!Cheers! --Mike CalvinoCalvino Architecture Studio, inc.www.calvinodesign.com
…
n fact) according a vast variety of "modes" PLUS the required clash detection (ALWAYS via trigonometry). In plain English: outline any collection of Breps and "apply" a truss that is topologically sound (planarization in case of quads etc is an added constrain). PLUS outline/solve what comes "next" after that truss (like the planar glazing "add-on" brackets of yours [ the ones that need redesign, he he], or some roofing/facade skin system [secondary supports, corrugated sheet metal, insulation, final cladding, dogs and cats])
2. Imaging doing this in real life (nothing to do with "abstract" formations of "lines" or "shapes" or whatever). This means primarily adopting a BIM umbrella: in plain English AECOSim, Revit or Allplan (I'm a Bentley man so I use AECOSim + Generative Components). This also means using "in-parallel" a top MCAD app for 1:1 details, FEA/FIM and the vast paraphernalia required for real-life studies destined for real-life projects (made with real-life money by real-life people). My choice: CATIA/Siemens NX.
3. What to send to Microstation (if not using Generative Components, that is) and/or CATIA? In what "state"? To do what exactly? For instance even if you could design this feature driven tensile membrane anchor custom node in Rhino (you can't) it could be 100% useless in CATIA:
4. Imaging masterminding ways to send them nested instance definitions of ... er ... a coordinate system (all what you need). In plain English: since is utterly pointless to send them nested blocks that can't been parametrically controlled (variations/modifications/PLM management/BOM/specs etc etc)... send them simply the "instructions" to place coordinate systems of components that ARE parametrically designed within Microstation and/or CATIA (classic feature driven design approach blah blah). So GH solves topology et all (working on data imported via, say, Excel sheets related with sizes of components etc etc) and sends to Microstation simply this (a myriad of "this" actually):
I do hope that the gist of the "method" (the ONLY way to invite GH to the party) is clear.
best, Peter…
requires four weather data inputs: air temperature (_dryBulbTemperature), relative humidity (relativeHumidity_), wind speed at 1.1 meters from the ground (windSpeed_) and mean radiant temperature (meanRadiantTemperature_).You can add values to the first three inputs from the Ladybug "Import Epw" component. For the last (meanRadiantTemperature_), you can add it from Ladybug's "Outdoor Solar Adjusted Temperature Calculator" component, or let "Thermal Comfort Index" component to calculate it. Both use different methods to calculate the final values.
I attached an example file below with second option.For more precise calculations you can use Honeybee and Chris' microclimate maps.An icing on the cake for the end: one of Ladybug developers yesterday released a set of Ladybug components for modelling in ENVI-met application. ENVI-met is cutting-edge microclimate software, which can be downloaded for free. It opens a number of advanced new analysis in outdoor domain, which couldn't have been done with the current Ladybug+Honeybee tools. So you can perform the simulation in ENVI-met 4 free software, and then add mean radiant temperature values from ENVI-met simulation to "Thermal Comfort Indices" component. Here is an example file.If you would like to go with the last approach, then the best would be to post a question about it in this topic.
1) You can make a polygonized tree.I haven't subtracted the trunk from the crown, but I guess it makes sense that it can be done.2) In most solar related simulations, a default albedo value of 0.2 is used. This corresponds to average albedo value taken from materials surrounding the urban or countryside location (concrete, grass, gravel, sand, asphalt...). However the presence of snow can significantly magnify the average albedo value several times. "Sunpath shading" components albedo_ input has an ability to calculate albedo due to presence of snow, if nothing is added to it (to albedo_ input). As you are performing the analysis of PET in a horizontal plane, it will not affect your calculations.3) Most thermal comfort indices will require performing analysis at 1.1 meters above the ground. This is considered to be height of standing person's gravity center.The same goes for PET index. So you are correct: you should place the analysis grid at 1.1 meters above the ground before adding it to the "Sunpath Shading" component.It is worth mentioning that "Thermal Comfort Indices" component used in this topic's PET_on_Grid2.gh and PET_on_Grid3.gh files is from last year, and much slower than the newest one (VER 0.0.64 MAR 18 2017) used in the example attached below. Just a remainder if you have been using older version of this component.Let me know if I misunderstood some of your questions, or if I missed to answer some of them.
EDIT: sorry for posting a double reply. When I posted it the first time, I only got links visible, with no text. Something has been wrong with grasshopper ning forum for the last couple of months.…
search for residential type and surprisingly there are none. This can be, but i'm surprised.
The location in example is the Financial District of Manhattan. I assume there might not be too many purely residential buildings there. If you increase the radius to 300meters it will find one.The OSMobject "Residential building" will look for mostly purely residential buildings. For example those in Chinatown or Lower East Side.However most of the time a building might be a multi-purpose: shops on the ground floor, offices above, and above them residential apartments. Users can sometimes avoid tagging these kind of buildings, and may just tag them with "buildings"="yes", not the type of the building too (for example: "building"="multiuse"). So this may be the problem why you might not get too many residential buildings.I guess the only solution to this issue is to add these tags by yourself. Then Gismo will instantly make use of them.I mentioned previously that I will create a couple of video tutorials, but I seemed to never found enough time. I apologize for that. The process is actually quite simple.
Here is small step by step tutorial on how to do that. It may take you about 2 minutes to tag your building and use that tag in Gismo.
Also office buildings. I imagine this is not up to you, but can be kind of disappointing. I wanted for example to do some Ladybug analysis only on residential or office buildings ... pitty.
"Office building" has not been added to "OSMobjects" dropdown list. I have just added it.However, whenever some sort of object is not defined in "OSMobjects" dropdown list, one can use the _requiredKey and requiredValues_ inputs of the "OSM tag" component:
I just tried looking for office building for the same location we have in the create_legend_example.gh file and it found 3 of them. There would probably need to be more, but it may be that nobody tagged those with "building"="office"
The legend is nice, though i think is not completely synchronized with the LegendBakeParameters: You need to provide a point for the LegenPlane input and another for the titleOriginPt output of the CreateLegend.
Unlike Ladybug, Gismo threats the title and the legend separately. So the legend's color bar would have its own starting point (plane) while the title will have its own. I found myself puzzled sometimes in Ladybug, why this wasn't possible.Or did I misunderstand you?…
Added by djordje to Gismo at 12:33pm on May 8, 2017
peuvent se diviser une surface avec ne importe quel motif imaginable. 3. Ici, je fournir un moyen de le faire via Lunchbox ... cela fonctionne mais il est fixe et donc nous avons besoin de jouer avec des arbres de données afin de créer le motif approprié par cas. 4. L'autre composante est un joint C # qui fait beaucoup de choses autres que de diviser ne importe quelle collection de points avec de nombreux modèles (voir le modèle ANDRE que je ai fait pour vous). 5. Vous devez décomposer une polysurface en morceaux afin de travailler sur les subdivisions. 6. Je donne une autre définition ainsi que pourrait agir comme un tutoriel sur la façon de traiter des ensembles de points via des composants de GH standards et des méthodes classiques.
Avertissez si tous ceux-ci apparaissent floue pour vous: Si oui, je pourrais écrire une définition utilisant des composants de GH classiques - mais vous perdrez les variations de motifs de division.
mieux, Peter
…
ers can be applied from the right click Context Menu of either a component's input or output parameters. With the exception of <Principal> and <Degrees> they work exactly like their corresponding Grasshopper Component. When a I/O Modifier is applied to a parameter a visual Tag (icon) is displayed. If you hover over a Tag a tool tip will be displayed showing what it is and what it does.
The full list of these Tags:
1) Principal
An input with the Principal Icon is designated the principal input of a component for the purposes of path assignment.
For example:
2) Reverse
The Reverse I/O Modifier will reverse the order of a list (or lists in a multiple path structure)
3) Flatten
The Flatten I/O Modifier will reduce a multi-path tree down to a single list on the {0} path
4) Graft
The Graft I/O Modifier will create a new branch for each individual item in a list (or lists)
5) Simplify
The Simplify I/O Modifier will remove the overlap shared amongst all branches. [Note that a single branch does not share any overlap with anything else.]
6) Degrees
The Degrees Input Modifier indicates that the numbers received are actually measured in Degrees rather than Radians. Think of it more like a preference setting for each angle input on a Grasshopper Component that state you prefer to work in Degrees. There is no Output option as this is only available on Angle Inputs.
7) Expression
The Expression I/O Modifier allows you change the input value by evaluating an expression such as -x/2 which will have the input and make it negative. If you hover over the Tag a tool tip will be displayed with the expression. Since the release of GH version 0.9.0068 all I/O Expression Modifiers use "x" instead of the nickname of the parameter.
8) Reparameterize
The Reparameterize I/O Modifier will only work on lines, curves and surfaces forcing the domains of all geometry to the [0.0 to 1.0] range.
9) Invert
The Invert Input Modifier works in a similar way to a Not Gate in Boolean Logic negating the input. A good example of when to use this is on [Cull Pattern] where you wish to invert the logic to get the opposite results. There is no Output option as this is only available on Boolean Inputs.
…
ing the maps to the broader community.
At the moment, there are just a few known issues left that I have to fix for complex geometric cases but they should run smoothly for most energy models that you generate with Honeybee. Within the next month, I will be clearing up these last issues and, by the end of the month, there will be an updated youtube tutorial playlist on the comfort tools and how to use them.
In the meantime, there's an updated example file (http://hydrashare.github.io/hydra/viewer?owner=chriswmackey&fork=hydra_2&id=Indoor_Microclimate_Map) and I wanted to get you all excited with some images and animations coming out of the design part of my thesis. I also wanted to post some documentation of all of the previous research that has made these climate maps possible and give out some much deserved thanks. To begin, this image gives you a sense of how the thermal maps are made by integrating several streams of data for EnergyPlus:
(https://drive.google.com/file/d/0Bz2PwDvkjovJaTMtWDRHMExvLUk/view?usp=sharing)
To get you excited, this youtube playlist has a whole bunch of time-lapse thermal animations that a lot of you should enjoy:
https://www.youtube.com/playlist?list=PLruLh1AdY-Sj3ehUTSfKa1IHPSiuJU52A
To give a brief summary of what you are looking at in the playlist, there are two proposed designs for completely passive co-habitation spaces in New York and Los Angeles.
These diagrams explain the Los Angeles design:
(https://drive.google.com/file/d/0Bz2PwDvkjovJM0JkM0tLZ1kxUmc/view?usp=sharing)
And this video gives you and idea of how it thermally performs:
These diagrams explain the New York design:
(https://drive.google.com/file/d/0Bz2PwDvkjovJS1BZVVZiTWF4MXM/view?usp=sharing)
And this video shows you the thermal performance:
Now to credit all of the awesome people that have made the creation of these thermal maps possible:
1) As any HB user knows, the open source engines and libraries under the hood of HB are EnergyPlus and OpenStudio and the incredible thermal richness of these maps would not have been possible without these DoE teams creating such a robust modeler so a big credit is definitely due to them.
2) Many of the initial ideas for these thermal maps come from an MIT Masters thesis that was completed a few years ago by Amanda Webb called "cMap". Even though these cMaps were only taking into account surface temperature from E+, it was the viewing of her radiant temperature maps that initially touched-off the series of events that led to my thesis so a great credit is due to her. You can find her thesis here (http://dspace.mit.edu/handle/1721.1/72870).
3) Since the thesis of A. Webb, there were two key developments that made the high resolution of the current maps believable as a good approximation of the actual thermal environment of a building. The first is a PhD thesis by Alejandra Menchaca (also conducted here at MIT) that developed a computationally fast way of estimating sub-zone air temperature stratification. The method, which works simply by weighing the heat gain in a room against the incoming airflow was validated by many CFD simulations over the course of Alejandra's thesis. You can find here final thesis document here (http://dspace.mit.edu/handle/1721.1/74907).
4) The other main development since the A. Webb thesis that made the radiant map much more accurate is a fast means of estimating the radiant temperature increase felt by an occupant sitting in the sun. This method was developed by some awesome scientists at the UC Berkeley Center for the Built Environment (CBE) Including Tyler Hoyt, who has been particularly helpful to me by supporting the CBE's Github page. The original paper on this fast means of estimating the solar temperature delta can be found here (http://escholarship.org/uc/item/89m1h2dg) although they should have an official publication in a journal soon.
5) The ASHRAE comfort models under the hood of LB+HB all are derived from the javascript of the CBE comfort tool (http://smap.cbe.berkeley.edu/comforttool). A huge chunk of credit definitely goes to this group and I encourage any other researchers who are getting deep into comfort to check the code resources on their github page (https://github.com/CenterForTheBuiltEnvironment/comfort_tool).
6) And, last but not least, a huge share of credit is due to Mostapha and all members of the LB+HB community. It is because of resources and help that Mostapha initially gave me that I learned how to code in the first place and the knowledge of a community that would use the things that I developed was, by fa,r the biggest motivation throughout this thesis and all of my LB efforts.
Thank you all and stay awesome,
-Chris…