, 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.
…
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
…
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!
…
he time to work with it.
the project is about facade strips which turns along height. the top angle is
parallel to the facade and the bottom is max. 90 degrees twisted, but the strips
should turn diffrently to achieve more dinamic look.
first i have tried to achieve this by calculating distance between the rotation angle from points of the grid and a single point.
then i have tried to ad some more effecting points and used the distance to the divided surface (the circles are just to control the area of effection):
i manually lofted it.
the result is a bit annoying becouse the points that effect the angle are always visible:
i have triend to solve this by drawing a line and divided it to recieve points along the bottom of the geometry. the result is not working properly:
Anyway,
there must be a better/smoother way to achieve this. i would like to effect the twist of the surfaces by distance to a spline, but im just lost. can you help me please?
the problems im encountering:
0- distance spline to grid to effect the angle
1- list of x/y coordinates and angle of rotation for each point of the grid
2- export points to excel
3- lofting lines in one direction only (x1, x2, x3...)
4- reduce the list data to 2 decimal (0,00)
5- maybe angle from radian to degrees
thx…
ed file and code below:
Color ColorAt(Mesh mesh, int faceIndex, double t0, double t1, double t2, double t3) { // int rc = -1; var color = Rhino.Display.Color4f.Black;
if( mesh.VertexColors.Count != 0) { // test to see if face exists if( faceIndex >= 0 && faceIndex < mesh.Faces.Count ) { /// Barycentric quad coordinates for the point on the mesh /// face mesh.Faces[FaceIndex].
/// If the face is a triangle /// disregard T[3] (it should be set to 0.0).
/// If the face is /// a quad and is split between vertexes 0 and 2, then T[3] /// will be 0.0 when point is on the triangle defined by vi[0], /// vi[1], vi[2]
/// T[1] will be 0.0 when point is on the /// triangle defined by vi[0], vi[2], vi[3].
/// If the face is a /// quad and is split between vertexes 1 and 3, then T[2] will /// be -1 when point is on the triangle defined by vi[0], /// vi[1], vi[3]
/// and m_t[0] will be -1 when point is on the /// triangle defined by vi[1], vi[2], vi[3].
MeshFace face = mesh.Faces[faceIndex];
// Collect data for barycentric evaluation. Color p0, p1, p2;
if(face.IsTriangle) { p0 = mesh.VertexColors[face.A]; p1 = mesh.VertexColors[face.B]; p2 = mesh.VertexColors[face.C]; } else { if( t3 == 0 ) { // point is on subtriangle {0,1,2} p0 = mesh.VertexColors[face.A]; p1 = mesh.VertexColors[face.B]; p2 = mesh.VertexColors[face.C]; } else if( t1 == 0 ) { // point is on subtriangle {0,2,3} p0 = mesh.VertexColors[face.A]; p1 = mesh.VertexColors[face.C]; p2 = mesh.VertexColors[face.D]; //t0 = t0; t1 = t2; t2 = t3; } else if( t2 == -1 ) { // point is on subtriangle {0,1,3} p0 = mesh.VertexColors[face.A]; p1 = mesh.VertexColors[face.B]; p2 = mesh.VertexColors[face.D]; //t0 = t0; //t1 = t1; t2 = t3; } else { // point must be on remaining subtriangle {1,2,3} p0 = mesh.VertexColors[face.B]; p1 = mesh.VertexColors[face.C]; p2 = mesh.VertexColors[face.D]; t0 = t1; t1 = t2; t2 = t3; } }
/** double r = t0 * p0.FractionRed() + t1 * p1.FractionRed() + t2 * p2.FractionRed(); double g = t0 * p0.FractionGreen() + t1 * p1.FractionGreen() + t2 * p2.FractionGreen(); double b = t0 * p0.FractionBlue() + t1 * p1.FractionBlue() + t2 * p2.FractionBlue();
ON_Color color; color.SetFractionalRGB(r, g, b);
unsigned int abgr = (unsigned int)color; rc = (int) ABGR_to_ARGB(abgr); **/ var c0 = new Rhino.Display.Color4f(p0); var c1 = new Rhino.Display.Color4f(p1); var c2 = new Rhino.Display.Color4f(p2); float s0 = (float) t0; float s1 = (float) t1; float s2 = (float) t2;
float R = s0 * c0.R + s1 * c1.R + s2 * c2.R; float G = s0 * c0.G + s1 * c1.G + s2 * c2.G; float B = s0 * c0.B + s1 * c1.B + s2 * c2.B; color = new Rhino.Display.Color4f(R, G, B, 1); } } return color.AsSystemColor(); }
…
ort and export from the images below and also from the HELP file of DB in attachments (Page 71: Importing Geometric Data; Page 78-80: Import 3 - D CAD Data). In their HELP file, they mention about "import geometric data".
However, regarding the input of schedules, loads, constructions and etc., DB normally uses "Component " and "Template" (Page 29: Templates And Components; Page 591: Templates; Page 533: Components). "Templates" are databases of typical generic data, including Activity templates, Construction templates, Glazing templates, Facade templates, HVAC templates, Location Templates, and etc. "Component " are databases of individual data items (e.g. a construction type, material, window pane).
Both "Component " and "Template" are allowed to be imported and exported by using "Import / Export library data" command (.ddf format - DB Database File; Page 734: Import Components/Templates, Export Components/Templates). DB also allows us to build up our own libraries of templates and components (Page 731: Library Management; Page 733: Template Library Management).
In order to import both geometric information and other information related to schedules, loads, constructions and etc. from GH to BD, we supposed the following two ways:
1. GH(HB+GB) --> gbXML (both geometric and "Component " and "Template" information) --> DB
This is the way we most prefer. We did see information related to schedules, loads, constructions encoded in the gbXML file generated by GB, but still do not know the reason why DB did not take this information (I also mentioned this in Q6 within the gh file). We assume this might because the gbXML file we create encodes the schedules based on a different template / schema than the one DB expects. We also post this question to the DB forum for help.
(http://www.designbuilder.co.uk/component/option,com_forum/Itemid,25/page,viewtopic/p,13755/#13755)
2. GH(HB+GB) --> gbXML (geometric information only) + .ddf ("Component " and "Template" information only) --> DB
If the first way doesn't work and DB only takes geometric information from the gbXML, then we might think of the other way - generating the .ddf files from GH(HB+GB) to pass the schedule, load and construction information to DB.
I was wondering if it is feasible for HB and GB to have this function? And what is your suggestion to achieve this?
In addition, we notice that DB can export XML files (not gbXML), so we are trying to figure out if DB also accepts / reads the XML file. If so, we might be able to convert the gbXML (with both geometric and schedule information) to XML. What do you think about that?
Thank you again for all your help!
Best,
Ding
DB import
DB export
Template libraries
Component libraries
…
y using the Honeybee_Update Honeybee component.
The video below (best viewed in full-screen mode) provides an idea of what these components are capable of being used for:
The video below shows how these components can be used in an existing Honeybee project (for additional links please open this video in youtube):
I have uploaded two examples as Hydra files that show how these components can be used for grid-point and image-based simulations:
Example1 : Grid Point Calculations
Example2: Image based simulation
Finally, a more esoteric application is demonstrated in this video:
These components are still in the beta-testing stage. Some of the limitations of the components are:
1. Only Type C photometry IES files are supported at present.
2. Rhino is likely to get sluggish if there are too many luminaires (i.e. light fixtures) present in a scene.
3. Due to the spectral limitations of the ray-tracing software (RADIANCE), simulations involving color mixing might not be physically realizable.
Additional details about photometric and spectral calculations are probably an overkill for this forum. However, I'd be glad to answer any related questions. Please report any bugs or request new features either on this forum or on Github.
Mostapha, Leland Curtis, Reinhardt Swart and Dr. Richard Mistrick provided valuable inputs during the development of these components.
Thanks,
Sarith
Update 16th January 2017:
An example with some new components and bug fixes since the initial release announcement can be found here
…
Introduzione a Grasshopper", il primo manuale su Grasshopper.
.
I corsi PLUG IT nascono dalla volontà di promuovere le nuove tecnologie digitali di supporto alla progettazione e condividere il know-how maturato attraverso ricerca, collaborazione con i più importanti studi di architettura e pubblicazioni internazionali.
.
Verranno introdotte le nozioni base di Grasshopper approfondendo le metodologie della progettazione parametrica e le tecniche di modellazione algoritmica per la generazione di forme complesse. Il corso è rivolto a studenti e professionisti con esperienza minima nella modellazione 3D e si articolerà in lezioni teoriche ed esercitazioni.
. Argomenti trattati:
- Introduzione alla progettazione parametrica: teoria, esempi, casi studio - Grasshopper: concetti base, logica algoritmica, interfaccia grafica - Nozioni fondamentali: componenti, connessioni, data flow
- Funzioni matematiche e logiche, serie, gestione dei dati - Analisi e definizione di curve e superfici
- Definizione di griglie e pattern complessi - Trasformazioni geometriche, paneling - Attrattori, image sampler
- Data tree: gestione di dati complessi - Digital fabrication: teoria ed esempi - Nesting: scomposizione di oggetti tridimensionali in sezioni piane per macchine CNC
.
Verrà rilasciato un attestato finale.
.
Ulteriori info e programma completo su: www.arturotedeschi.com e su www.edizionilepenseur.it…
ay how many valid permutations exist.
But allow me to guesstimate a number for 20 components (no more, no less). Here are my starting assumptions:
Let's say the average input and output parameter count of any component is 2. So we have 20 components, each with 2 inputs and 2 outputs.
There are roughly 35 types of parameter, so the odds of connecting two parameters at random that have the same type are roughly 3%. However there are many conversions defined and often you want a parameter of type A to seed a parameter of type B. So let's say that 10% of random connections are in fact valid. (This assumption ignores the obvious fact that certain parameters (number, point, vector) are far more common than others, so the odds of connecting identical types are actually much higher than 3%)
Now even when data can be shared between two parameters, that doesn't mean that hooking them up will result in a valid operation (let's ignore for the time being that the far majority of combinations that are valid are also bullshit). So let's say that even when we manage to pick two parameters that can communicate, the odds of us ending up with a valid component combo are still only 1 in 2.
We will limit ourselves to only single connections between parameters. At no point will a single parameter seed more than one recipient and at no point will any parameter have more than one source. We do allow for parameters which do not share or receive data.
So let's start by creating the total number of permutations that are possible simply by positioning all 20 components from left to right. This is important because we're not allowed to make wires go from right to left. The left most component can be any one of 20. So we have 20 possible permutations for the first one. Then for each of those we have 19 options to fill the second-left-most slot. 20×19×18×17×...×3×2×1 = 20! ~2.5×1018.
We can now start drawing wires from the output of component #1 to the inputs of any of the other components. We can choose to share no outputs, output #1, output #2 or both with any of the downstream components (19 of them, with two inputs each). That's 2×(19×2) + (19×2)×(19×2-1) ~ 1500 possible connections we can make for the outputs of the first component. The second component is very similar, but it only has 18 possible targets and some of the inputs will already have been used. So now we have 2×(18×2-1) + (18×2-1)×(18×2-1) ~1300. If we very roughly (not to mention very incorrectly, but I'm too tired to do the math properly) extrapolate to the other 18 components where the number of possible connections decreases in a similar fashion thoughout, we end up with a total number of 1500×1300×1140×1007×891×789×697×...×83×51×24×1 which is roughly 6.5×1050. However note that only 10% of these wires connect compatible parameters and only 50% of those will connect compatible components. So the number of valid connections we can make is roughly 3×1049.
All we have to do now is multiply the total number of valid connection per permutation with the total number of possible permutations; 20! × 3×1049 which comes to 7×1067 or 72 unvigintillion as Wolfram|Alpha tells me.
Impressive as these numbers sound, remember that by far the most of these permutations result in utter nonsense. Nonsense that produces a result, but not a meaningful one.
EDIT: This computation is way off, see this response for an improved estimate.
--
David Rutten
david@mcneel.com
Poprad, Slovakia…
Added by David Rutten at 12:06pm on March 15, 2013