:
______________________________________________________________________
As most of you know by now, Grasshopper will be included in Rhino 6 for Windows. We are almost finished with the Grasshopper in Rhino 6 development and you are invited to try it.
There are many enhancements, including:
High DPI displays are now supported.
Compatible with existing Grasshopper plug-ins.
New components including Make2D, Bend, Flow, Maelstrom, Splop, Splorph, Stretch, Taper, and Twist...
GhPython is now included. It features its own GHA compiler and a major node-in-code speed up.
Stable development target: Your plug-ins continue to work each minor Grasshopper upgrade.
RhinoCommon enhanced: More Rhino core functionality is accessible from within Grasshopper.
Developer documentation is online with guides and API references.
Now:
Download the current Rhino WIP for Windows
Try all your existing Grasshopper definitions
Report any problems you find here...
We want to make sure this new Grasshopper works for you. If you have any issues, David needs to hear from you very soon.
Thank you,
- Bob
Visit Grasshopper at: http://www.grasshopper3d.com/?xg_source=msg_mes_network
______________________________________________________________________
So...
Any news about OS X version? Many of us won't use Parallels or whatever win emulator or have a win machine nearby.
Hope you are working at it.
Cheers
gbrl
…
Added by Gabriel Netto at 3:44pm on October 29, 2016
ive collaborative environment.
TYPE : Course module and Workshop
The event is open for anybody interested from all the fields of design, including: architecture, interior design, furniture design, product design, fashion design, scenography, and engineering.
1. COURSE MODULE (20-23 April 2014) - optional
+ type: 3 days intensive course regarding basic knowledge in parametric design (LEVEL 1)
+ software: Rhinoceros & Grasshopper
+ plugins: Kangaroo, Weaver Bird, Lunch box, Ghowl, Geco
+ achievements:
- acquainting to the components & the concept of Generative Design
- understanding the strategies in Algorithmic Design
- how to easily insert simple mathematical equation into the project to gain more control
- how to utilize proper plugins with respect to their nature of the project
- interacting with different analysis platforms such as Ecotect & remote controller
- solving several exercises with different scales( 2D- 3D ) during each phase of the workshop
2. WORKSHOP (23-27 April 2014)
A 5 day Design-Based Research Workshop exploring new techniques in Digital Architecture/Fabrication, with a specific focus on the use of generative systems and parametric modeling as tools for creative expression.
Our ultimate goal is to increasing the efficiency of utilizing digital tools in parallel with geometric performance of the primitive design agent.
+ + CONCEPT
Fashion and Architecture are both based on basic life necessities – clothing and shelter.
However, they are also forms of self-expression – for both creators and consumers.
Both fashion and architecture affect our emotional being in many ways.
The agenda of this workshop is to investigate on the overlap between these two areas of design, art & fashion.
Fashion and architecture express ideas of personal, social and cultural identity, reflecting the concerns of the user and the ambition of the age. Their relationship is a symbiotic one and throughout history, clothing and buildings have echoed each other in form and appearance. This only seems natural as they not only share the primary function of providing shelter and protection for the body, but also because they both create space and volume out of flat, two-dimensional materials.
While they have much in common, they are also intrinsically different – address the human scale, but the proportions, sizes and shapes differ enormously.
+ + + OBJECTIVES
So far, Architects have been using techniques such as folding, bending etc. to create space, structural roofs or different other structural shapes.
The agenda of this workshop goes further with the investigation of algorithmic thinking through generative tools Integrated in design.
The challenge is creating a bridge that connects these two areas of design, architecture and fashion that perform at two opposite scales.
+ + + + TECHNICAL BRIEF
In the early stages physical models and low-tech strategies will be used, allowing the participants to gain a greater understanding of materials, fabrication and assembly methods as well as simple, yet pragmatic structural solutions.
Later in the workshop these strategies will be digitalized and elaborated using software visualizing tools such as Rhinoceros and the algorithmic plug-in Grasshopper.…
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}…
size component supported only ground PV panels and angled roof PV panels.
Download the newest PV SWH system size component from here (Click on "View Raw" to download it. Then move the downloaded .ghuser file to File->Special Folders->User Objects Folder, an confirm to overwrite it with previously located one).
Just a few opinions on the project you are currently working on:This kind of fixed, non-transparent (overhang) PV panels attached to a building facade are vert convenient for locations with higher latitudes.The reason for this is because they (fixed overhang PV panels) are dimensioned according to the sun position at summer solstice. Elevation angles on summer solstice at higher latitude locations are lower, than those of lower latitude locations.Due to Incheon's low latitude (37), you will get rather short length of the PV panels* : less than 10 centimeters (0.097 meters in the attached .gh file below). As you have mentioned, Galapagos needs to be used too.I will just mention some of the good and bad ways in which the upper issue could be somewhat avoided:1) Increasing the vertical distance between PV panels (PV panels appear above every second window).2) Increase the tilt angle. This will increase the length of PV panels also, but will decrease the final annual AC energy output.An example of this solution has been applied at FKI building in Seoul (latitude: 37N):I already did some tests (with tilt angles: 40, 45, 55) and this does not seem like a good solution, though.3) Shrinking the "sun window" by using the minimalSpacingPeriod_ input. In Photovoltaics, a planner is suppose to make the 9h to 15h part of the sun window free of any obstructions. If you try to decrease the "sun window" to 10 to 14h, the length of your PV panels will increase. You can try to experiment a little bit with this (set your minimalSpacingPeriod_ to 21th of June 10 to 14hours). In general, shrinking the sun window on summer solstice is not a good principle during planning.4) Using tracking PV panels, not fixed ones. But Ladybug Photovoltaics components do not support this kind of PV systems. They only support fixed ones.I would personally go with the first option. You can also experiment with the second and third one.Comment back if you have any other questions.-----------------------* By "length of the PV panels" I mean the: tiltedArrayHeight_ input of the PV SWH system size component.…
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(); }
…
edit 29/04/14 - Here is a new collection of more than 80 example files, organized by category:
KangarooExamples.zip
This zip is the most up to date collection of examples at the moment, and collects t
ers and researchers, programmers and artists, professionals and academics who come together for 4 days of intense collaboration, development, and design.
The sg2012 Workshop will be organised around Clusters. Clusters are hubs of expertise. They comprise of people, knowledge, tools, materials and machines. The Clusters provide a focus for workshop participants working together within a common framework.
Clusters provide a forum for the exchange of ideas, processes and techniques and act as a catalyst for design resolution. The Workshop is made up of ten Clusters that respond in diverse ways to the sg2012 Challenge Material Intensities.
Applicants to the sg2012 Workshop will select their preferred cluster from the following:
Beyond Mechanics
Micro Synergetics
Composite Territories
Ceramics 2.0
Material Conflicts
Transgranular Perspiration
Reactive Acoustic Environments
Form Follows Flow
Bioresponsive Building Envelopes
Gridshell Digital Tectonics
More information about the Workshop and Clusters can be found here:
http://smartgeometry.org/index.php?option=com_content&view=article&id=116&Itemid=131
The application process will close on January 15th, 2012.
Full Fee $1500
Reduced Fee $750
Scholarship Fee $350
Fees include attendance to both the workshop and conference from March 19th-24th.
Reduced Fee and Scholarships are available only for Academics, Students and Young Practitioners, and are awarded during a competitive peer review process.
sg2012 takes place from 19-24 March 2012 at EMPAC (http://empac.rpi.edu/) and is hosted by Rensselaer Polytechnic Institute in Troy, upstate New York USA. The Workshop and Conference will be a gathering of the global community of innovators and pioneers in the fields of architecture, design and engineering.
The event will be in two parts: a four day Workshop 19-22 March, and a public conference beginning with Talkshop 23 March, followed by a Symposium 24 March. The event follows the format of the highly successful preceding events sg2010 Barcelona and sg2011 Copenhagen.
sg2012 Challenge Material Intensities
Simulation, Energy, Environment
Imagine the design space of architecture was no longer at the scale of rooms, walls and atria, but that of cells, grains and vapour droplets. Rather than the flow of people, services, or construction schedules, the focus becomes the flow of light, vapour, molecular vibrations and growth schedules: design from the inside out.
The sg2012 challenge, Material Intensities, is intended to dissolve our notion of the built environment as inert constructions enclosing physically sealed spaces. Spaces and boundaries are abundant with vibration, fluctuating intensities, shifting gradients and flows. The materials that define them are in a continual state of becoming: a dance of energy and information. Material potential is defined by multiple properties: acoustical, chemical, electrical, environmental, magnetic, manufacturing, mechanical, optical, radiological, sensorial, and thermal. The challenge for sg2012 Material Intensities is to consider material economy when creating environments, micro-climates and contexts congenial for social interaction, activities and organisation. This challenge calls for design innovation and dialogue between disciplines and responsibilities. sg2010 Working Prototypes strove to emancipate digital design from the hard drive by moving from the virtual to the actual in wrestling with the tangible world of physical fabrication. sg2011 Building the Invisible focused on informing digital design with real world data. sg2012 Material Intensities strives to energise our digital prototypes and infuse them with material behaviour. They have the potential to become rich simulations informed by the material dynamics, chemical composition, energy flows, force fields and environmental conditions that feed back into the design process.
More information can be found at http://www.smartgeometry.org
Follow us on Twitter at http://twitter.com/smartgeometry…
Added by Shane Burger at 12:29pm on December 13, 2011
bi-directional link, the link is unidirectional (downflow only), because of the use of proxies.
Matrix transforms and persistent constraints: I don't think this is true. The parts can have mates to other parts that preserve geometric relationships like 'coincident' , 'aligned' etc. These are essentially bi-directional. GH's algorithmic approach does not do relationships in the same / flexible way. In GH, the 'relationship' has to be part of the generation method that dependent on the creation sequence. I.e. draw line 2 perpendicularly from the end of point of line 1. If you are thinking about parts or assemblies sharing, or referencing parameters as part of the regen process, this is also possible. iLogic does this, and adds scripting. So does Catia. Inventor/iLogic can also access Excel and have all the parameter processing done centrally, if required.
Consequently, scripting the placement of components is irrelevant in GH, unless you decide that each component needs to be contained in its own separate file.
I wouldn't be too hasty here. Yes, you are right about compartmentalisation. I think this needs to happen with GH, in order to deal with scalability/everyday interoperability requirements. Confining projects to one script is not sustainable. MCAD apps have been doing this for ages with 'Relational Modeling'.The Adaptive Components placement example illustrates that it is beneficial to be able to script some 'hints' that can be used on placement of the component. Say, if your component requires points as inputs, then its should be able to find the nearest points to the cursor as it moves around. I think Aish's D# / DesignScript demo'd this kind of behaviour a few years ago. Similarly, Modo Toolpipe reminds me how a lot of UI based transactions can be captured as scripts (macro recorder etc). Allowing this input to be mixed in and/or extended by GH I think will yield a lot of 'modeling efficiency' around the edges. This is a (mis)using GH as an user-programmable 'jig' for placing/manipulating 'dumb' elements in Rhino. It may even give the 'dumb elements' a bit more 'intelligence' by leaving behind embedded attributes, like links to particular construction planes etc.Even if we confine ourselves to scripting. GH is a visual or graphic programming interface. A lot of 'insert and connect' tasks can be done more easily using graphic methods. If we need to select certain vertices on a mesh as inputs for, say, a facade panel, its going to be quicker to do this 'graphically' (like the AC example), then ferreting out the relevant indices in the data tree et al. The 'facade panel' script would then have some coding to filter/prompt the user as to what inputs were acceptable, and so on.
This also brings up the point that generating components and assemblies in MCAD is not as straightforward. In iParts and iAssemblies, each configuration needs to be generated as a "child" (the individual file needs to be created for each child) before those children can be used elsewhere.
Not sure what you mean here. If the i-parts are built up using sketches /profiles or other more rudimentary features (like Revits' profile/face etc family templates) then reuse should be fairly straight forward. I suppose you could make it like GH scripting, if you cut and paste or include script snippets that generate the desired Inventor features.
One of the reasons why the distributed file approach makes perfect sense in MCAD, is that in industry you deal with a finite set of objects. Generative tools are usually not a requirement. Most mechanical engineers, product engineers and machinists would never have any use for that.
I don't think this is true. Look at the automotive body design apps, which are mostly Catia based. All of the body parts are pretty much 'generative' and generated from splines, in a procedural way, using very similar approaches to GH. Or sheet metal design. It's not always about configuration of off-the-shelf items like bolts. And, the constraints manager is available to arbitrate which bit of script fires first, and your mundane workaday associative dimensions etc can update without getting run over by the DAG(s) :-)
…
Introduction to Grasshopper Videos by David Rutten.
Wondering how to get started with Grasshopper? Look no further. Spend an some time with the creator of Grasshopper, David Rutten, to learn the
mplex the models are. If we are running multi-room E+ studies, that will take far longer to calculate.
Rhino/Grasshopper = <1%
Generating Radiance .ill files = 88%
Processing .ill files into DA, etc. = ~2%
E+ = 10%
Parallelizing Grasshopper:
My first instinct is to avoid this problem by running GH on one computer only. Creating the batch files is very fast. The trick will be sending the radiance and E+ batch files to multiple computers. Perhaps a “round-robin” approach could send each iteration to another node on the network until all iterations are assigned. I have no idea how to do that but hope that it is something that can be executed within grasshopper, perhaps a custom code module. I think GH can set a directory for Radiance and E+ to save all final files to. We can set this to a local server location so all runs output to the same location. It will likely run slower than it would on the C:drive, but those losses are acceptable if we can get parallelization to work.
I’m concerned about post-processing of the Radiance/E+ runs. For starters, Honeybee calculates DA after it runs the .ill files. This doesn’t take very long, but it is a separate process that is not included in the original Radiance batch file. Any other data manipulation we intend to automatically run in GH will be left out of the batch file as well. Consolidating the results into a format that Design Explorer or Pollination can read also takes a bit of post-processing. So, it seems to me that we may want to split up the GH automation as follows:
Initiate
Parametrically generate geometry
Assign input values, material, etc.
Generate radiance/ E+ batch files for all iterations
Calculate
Calc separate runs of Radiance/E+ in parallel via network clusters. Each run will be a unique iteration.
Save all temp files to single server location on server
Post Processing
Run a GH script from a single computer. Translate .ill files or .idf files into custom metrics or graphics (DA, ASE, %shade down, net solar gain, etc.)
Collect final data in single location (excel document) to be read by Design Explorer or Pollination.
The above workflow avoids having to parallelize GH. The consequence is that we can’t parallelize any post-processing routines. This may be easier to implement in the short term, but long term we should try to parallelize everything.
Parallelizing EnergyPlus/Radiance:
I agree that the best way to enable large numbers of iterations is to set up multiple unique runs of radiance and E+ on separate computers. I don’t see the incentive to split individual runs between multiple processors because the modular nature of the iterative parametric models does this for us. Multiple unique runs will simplify the post-processing as well.
It seems that the advantages of optimizing matrix based calculations (3-5 phase methods) are most beneficial when iterations are run in series. Is it possible for multiple iterations running on different CPUs to reference the same matrices stored in a common location? Will that enable parallel computation to also benefit from reusing pre-calculated information?
Clustering computers and GPU based calculations:
Clustering unused computers seems like a natural next step for us. Our IT guru told me that we need come kind of software to make this happen, but that he didn’t know what that would be. Do you know what Penn State uses? You mentioned it is a text-only Linux based system. Can you please elaborate so I can explain to our IT department?
Accelerad is a very exciting development, especially for rpict and annual glare analysis. I’m concerned that the high quality GPU’s required might limit our ability to implement it on a large scale within our office. Does it still work well on standard GPU’s? The computer cluster method can tap into resources we already have, which is a big advantage. Our current workflow uses image-based calcs sparingly, because grid-based simulations gather the critical information much faster. The major exception is glare. Accelerad would enable luminance-based glare metrics, especially annual glare metrics, to be more feasible within fast-paced projects. All of that is a good thing.
So, both clusters and GPU-based calcs are great steps forward. Combining both methods would be amazing, especially if it is further optimized by the computational methods you are working on.
Moving forward, I think I need to explore if/how GH can send iterations across a cluster network of some kind and see what it will take to implement Accelerad. I assume some custom scripting will be necessary.…