bout angle since the exact same wires can suddenly start working fine later! Just adding new items to Rhino and then using undo to get back to your failing geometry will fix it sometimes?! Flipping the pair of curves' directions, either one or both, fixes it. It's just black box broken. It happens for really boring angles near 90 degrees.
Rotating the entire pair in space has no effect.
Rescaling the lines from their joint point has no effect.
Simply cutting and pasting the lines out of Rhino back in *sometimes* fixes it, so it's angle and something else that makes certain lines "toxic."
Duplicating the pair of failed lines via alt-dragging the Rhino gumball fails to fix it.
Running the "line-like curves" through a Line component to give "lines" doesn't fix it.
Re-creating the lines by extracting endpoints fails to fix it.
Each line, if separated from each other works fine.
Grafting makes each line into its own little cylinder minus a hub.
The error is the boilerplate "Object reference not set to an instance of an object."
Once the pair spontaneously starts working I cannot reproduce the error with that pair again, though sometimes Rhino undo will get me back to failing.
CAN ANYBODY REPRODUCE THIS WITH MY FILE? If so I can submit a bug report.
Exoskeleton is here: http://www.grasshopper3d.com/group/exoskeleton
Source code is here but it's for compiling, not something I can just test in a C# component out of the box:
https://github.com/davestasiuk/Exoskeleton2/commit/f63c4aa691a7f26b...
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s is like flattening your data PARTIALLY - chopping an index off the end of the branch paths without obliterating the tree entirely. When working with one "set" of input data, a flatten works to get these lists to match up - but when working with multiple sets, we need to be careful to preserve the original branch indices that keep all four of your original regions separate. As a rule, whenever you're feeding two data trees into any component, they should have the same number of branches. (or one should have branches and the other should be a flat list, in other cases).
The rule of thumb I tend to teach is this:
In 90% of cases...
For lists, all your inputs should either have 1 item or N items. That is to say, if you're feeding 4 items into one input and 9 items into another, something is probably wrong.
For trees, all your inputs should have either 1 branch or M branches. That is to say, if you're feeding a tree w/ branches {0;0} to {0;3} into one input, and a tree w branches {0;0;0} to {0;3;8} into the other input, something is probably wrong.
Grasshopper essentially matches up branches first, then lists second. By "matching" I mean it processes them together. Simple example of the Line component - it will match the first branch of points in the A input to the first branch of points in the B input, creating lines between those points, then match the second branches, the third branches, etc. THEN, it applies the same logic to the level of the list (with a pair of matched branches {0;2}, match all the items in those branches to each other - first item in one branch to the first item in the other branch, etc.)
This is a tricky concept but it seems like you're already well on your way to understanding it from your definition - "PShift" is a critical tool in your path management arsenal. I hope this (overly long) response helps clear things up for you!
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he TOF and TSRF indices. They show, how "distant" is your _PV_SWHsurface from the optimal _PV_SWHsurface surface in terms of tilt and azimuth angles.However, in your case we are not interested in TOF and TSRF indices. We would just like to know what are the _PV_SWHsurface optimal tilt and azimuth angles, regardless of the supplied _PV_SWHsurface.
So the circular surface supplied to the "TOF" component's _PV_SWHsurface input is irrelevant. It can be of any area, and any tilt/azimuth angle.The PV_SWHsurfacesArea output of the "PV SWH system size" component depends on a couple of factors:moduleActiveAreaPercent_ (leave it at 90%).
moduleEfficiency_,
systemSize_.Calculation of systemSize_ depends on your electricity demand, cost of the PV system, type of the object, country, local regulations etc. This is something that an engineer needs to determine.For example, in USA for a residential house in the Sunbelt, depending on finances, a household would try to cover 100% of its annual electricity needs with their PV system. Which means that the systemSize_ you chose needs to cover the annual electricity consumption. You can perform EnergyPlus simulation or use any other way to get the annual electricity consumption.
Ladybug "Photovoltaics Performance" component can calculate the optimal systemSize_ by given the annual electricity consumption.However the component is made to address fixed tilt and azimuth PV systems only.An approximate way to overcome this is to calculate the optimal systemSize_ for fixed tilt and azimuth PV system, and then multiply it with the "difference in %s" panel at the very right of the fixed_vs_tracker_PV2.gh file. Again, this is not what Ladybug "Photovoltaics Performance" component is made to do, but it will probably get you in a ball park.
Inputted 32 degrees for north_ direction is actually 328 degrees.This is due to Ladybug Photovoltaics being based on NREL model which uses clockwise angles convention. This convention is also most commonly used in solar radiation analysis.
Dubai weather data files are uploaded in here.
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ect + Geco
TUTORS:
Arturo Tedeschi (Authorized Rhino Trainer) + Maurizio Arturo Degni
Il workshop avanzato ECOLOGIC PATTERNS affronta l’impiego di strategie parametriche all’interno del processo progettuale, approfondendo l’utilizzo di Grasshopper in sinergia con plug-in, software di analisi ambientale e simulazione fisica. Obiettivo fondamentale è la generazione della forma come risultato di tecniche di form-finding e di input ambientali (solari, termici e acustici). Verranno acquisiti nuovi strumenti operativi e di simulazione al fine di costruire modelli parametrici ottimizzati in grado di adattarsi a diverse condizioni di contesto.
MORE INFO…
rves/holes. However, the Kangaroo script itself is prone to locking up so it seems like it might take forever. You can even double click stop the timer from the Windows task bar, I hadn't noticed that before:
You have to use that or right click disable the timer since even with the Reset toggle button input set to True the timer itself locks up the script a bit when you are changing things around.
Just setting the min/max numbers both to a desired mesh size gives a uniform mesh:
Oh weird, it's about if the timer is right click set to so small an interval that it gets ahead of Kangaroo! When you see how long each cycle is taking with the Display > Canvas Widgets > Profiler you just set the timer for above that and the interface comes back into being responsive. It only takes a few Kangaroo cycles to do the inflation, so a full second timer interval is even workable.
A finer mesh:
It's funny running it so slow since it overinflates at first, bulging out, before it equilibrates.
You have control over inflation pressure and mesh stiffness, for a variety of effects.
This is a good system once I realized the timer needed to be mellowed out.
What made it work was the fast custom meshing since a normal mesh is awful and MeshMachine wouldn't work with sharp corner holes at all, breaking out of the boundary even if I fixed curves or vertices or did the equivalent with NURBS surfaces instead of a starting mesh.
There is an initiation time for Kangaroo that doesn't show up on its Profiler time that happens even with the timer off.
There are some fine areas that can't inflate with a reasonable mesh setting:
Worth playing with but no match for ArtCAM since it suffers odd delays in between working fast. If I could get better 2D meshes, that were more adaptive it would be better, but MeshMachine is one of the only re-meshers I know and it's broken for even mildly sharp hole features.
Ah, how about a crude mesh that is then subdivided, guaranteeing inner vertices everywhere? Sort of works, but is still too dense. Way too dense to even do anything. The subdivision triangulates the quads, vastly increasing the mesh wire density. Better just to make a finer initial mesh with plenty of quads.…
Added by Nik Willmore at 12:57am on February 21, 2016
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}…
, Engineer and Researcher from France with broad programming experience. He is the author of the City in 3D Rhinoceros plugin for creation of buildings according to geojson file and with real elevation. Guillaume already created a new component: "Address to Location". It enables getting latitude and longitude values for the given address:
2) Support of Bathymetry data: automatic creation of underwater (sea/river/lake floor) terrain. This feature is now available through new source_ input of the "Terrain generator" component. Here is an example of terrain of the Loihi underwater volcano, of the coast of Hawaii:
3) A new terrain source has been added: ALOS World 3D 30m. ALOS is a Japanese global terrain data. Gismo "Terrain Generator" component has been using SRTM 30m terrain data, which hasn't been global and was limited to -56 to +60 latitude range. With this addition, it is possible to switch between SRTM and ALOS World 3D 30m models with the use of source_ input.
4) 9 new components have been added:
"Address To Location" - finds latitude and longitude coordinates for the given address.
"XY To Location" - finds latitude and longitude coordinates for the given Rhino XY coordinates. "Location To XY" - vice versa from the previous component: finds Rhino XY coordinates for the given latitude longitude coordinates. "Z To Elevation" - finds elevation for particular Rhino point. "Rhino text to number" - convert numeric text from Rhino to grasshopper number. "Rhino unit to meters" - convert Rhino units to meters. "Deconstruct location" - deconstructs .epw location. "New Component Example" - this component explains how to make a new Gismo component, in case you are interested to make one. We welcome new developers, even if you contribute a single component to Gismo! "Support Gismo" - gives some suggestions on how to make Gismo better, how to improve it and support it.
5) Ladybug "Terrain Generator" component now supports all units, not only Meters. So any Gismo example file which uses this component, can now use Rhino units other than Meters as well. Thank you Antonello Di Nunzio for making this happen!!
Basically just forget about this yellow panel:
This panel is not valid anymore, so just use any unit you want.
6) A number of bugs have been fixed, reported in topics for the last couple of weeks. We would like to thank members in the community who invested their time in testing, finding these bugs and reporting them: Rafat Ahmed, Peter Zatko, Mathieu Venot, Abraham Yezioro, Rafael Alonso. Thank you guys!!! Apologies if we forgot to mention someone.
The version 0.0.2 can be downloaded from here:
https://github.com/stgeorges/gismo/zipball/master
And example files from here:
https://github.com/stgeorges/gismo/tree/master/examples
Any new suggestions, testing and bug reports are welcome!!…
Added by djordje to Gismo at 5:13pm on March 1, 2017
(1) I have been exporting small sections of a larger model into Maya from Rhino as FBX. In Maya I rotate and scale the models (-90 in X, Scale XYZ 0.001). The Named Views are being saved, but do not have a successful import into the Maya model. They do not appear as in Rhino, and the problem is not solved by scaling or rotating the cameras.
(2) If I try going the other direction, the cameras exported from Maya as FBX are also not aligning with the model in Rhino as they are in Maya.. I will do my best to post some images of the problem and hope you can help.
error !!
This is what the named views look like
here I am trying to the other way with a good view from Maya
strange placement..
This is the best result I can achieve, after I scale the camera by 1000
Any Advice???
Thanks, Robert.
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ysim.ning.com/
When you run the simualtion you will notice on the batch terminal that Daysim is also being called, so you may want to consider how Daysim uses Radiance files & data.
Regarding your current problem, I think you stumbled onto something weird and interesting.
Interior and exterior readings appear to differ by 40 in the best case scenarios. Even setting the transmittance to 1 yields similar results. I tried changing from cummulative sky to climate sky and got similar values. Changing the test points did nothing either.
I think, (yet I'm too lazy to prove this) that the difference in values stems from diffuse radiation over the sky dome.
If you delete everything except the glass you'll notice that interior values are like 80-90% of the exterior values (this seems like the expected behaviour with a transmittance of 1). So, if we consider that a vertical window, part of an opaque box, is receiving radiation from 25% of a sphere, as you start to inset the interior test points the radiation they receive will be a fraction of the 25%.
Let me try to explain this better...The exterior surface receives radiation from a section of a sphere calculated by 180degrees on the xy plane (let’s call this angle theta) and by 90degrees (let’s call this angle phi) in azimuthal elevation. If you integrate this over spherical coordinates (theta from 0 to pi; phi from 0 to pi/2) you will find that it comes to a quarter of a sphere. By comparison, the interior surface will not integrate theta from 0 to 180degrees,nor phi from 0 to 90degrees, instead it will be the subtended angle from the exterior surface as a function of their separation; the farther in you go the smaller the view of the outside.
If my hypothesis is correct there shouldn't be that much difference since the separation is only 10cms...the subtended angle would be like 170 instead of 180 for theta and 85 instead of 90 for phi...overall if you integrate both spherical areas there should only by a difference of 10%.
In conclusion, I believe the unexpected behaviour stems from the previous subtended angle thing. If direct radiation was the only factor the difference would be the aforementioned 10%, which suggests that an additional source of energy is also affected by this. Perhaps indirect and diffuse radiation from other areas of the sky dome.
I’m definitely intrigued on why this is happening. Please post if you figure it out.
Regards,
Mauricio
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TB of RAM. I think I'm going to start a GoFundMe campaign to buy one for myself :)
2- The server's cost is about $13 an hour. I get free access to supercomputer through my university and xsede.org because I earned an NSF Honorable mention last March, however, the supercomputers available through both resources are a little complicated for me to use, as opposed to the one available from amazon that has Microsoft server 2012 already installed.
3- I wanted to run 400 annual glare simulations for 400 different views.
4- I tried a to perform annual glare simulation for one view on my Dell XPS that has Intel Core i7-6700HQ processor and 16GB of system memory. The simulation took 2 hours to complete. Radiance parameter ab was set to 6.
5- I wanted to obtain the batch file for each view so I can run them on the server. So I used the fly component to run all 400 simulations and closed the cmd windows, that wasn't bad ( for me at least) because I asked my son to this job for me, he was just glad to help me :)
6- I created one batch file using this cmd command:
dir /s /b *.bat > runall.bat
This created a file with the path to each .bat file. I edited this file in Notepad++ to include the word "start" at the beginning of each line. This was done using the "find and replace" dialogue box.
7- I split my newly created batch file into 3 batch files, each one has about 130 file names and " start" before the file names.
8- installed radiance on my server
9- Ran the first batch file on the server, this started 130 cmd windows performing my simulations, CPU usage was anywhere between 90% to 100% and about 105 GB of RAMs were used.
10. It took about 5 hours to complete all 130 simulations, I expected to run all in 2 hours but can't complain because this would've taken about 260 hours to run on my laptop. After the simulations done I ran the second and then the third batch files ( total of about 15 hours).
11. I got 400 valid dgb files. Couldn't be happier!
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