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
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!
…
greatly appreciate it!!
You can write the number of the question and write your answer next to it, example:
1) a
2) c
3) a) Washington University in St. Louis
4) 2 weeks (1week+1week shipping)
5) 130
6) b
7) b
The survey questions are as follows:
1)
Did you 3D print before?
5)
How much did it cost (in dollars)?
a.
Yes, for a school project
a.
Between 20 & 50
b.
Yes, for a personal project
b.
Between 50 & 80
c.
Between 80 & 120
2)
Print size
d.
Please specify if otherwise: _____ dollars
a.
Between 2 & 6 cubic inches
b.
Between 6 & 12 cubic inches
6)
Do you think the price was expensive?
c.
Between 12 & 20 cubic inches
a.
Not at all
d.
Please specify if otherwise: ____cubic inches
b.
A little bit expensive
c.
Very expensive
3)
Where did you print your object?
a.
School
7)
Were you satisfied with the printed object?
b.
Outside school: _________________
a.
Yes, it was a great print without problems
b.
Not bad, some issues
4)
How long did it take to print?
c.
I was not satisfied, very bad quality
a.
___ days
b.
___ weeks
Thank you very much to all!!
PS: If you did many 3D prints, you can post multiple answers.
Wassef…
whole design intent, but this is what Inventor is good at. The way it packages bits of 'scripted' components into 'little models' that can be stored and re-assembled is central to MCAD working.
The Inventor model shown is almost 5 years old. We don't model like that any more, however it does offer a good idea of general MCAD modeling approaches.
iParts is useful in certain situations, it could've been useful in the above model, its usefulness is often in function of the quantity of variants/configurations.
So much is scripted in GH, maybe it should also be possible to script/define/constrain/assist the placement/gluing of the results?
...
Starting point: I think we are talking across purposes. AFAIK, the solving sequence of GH's scripted components is fixed. It won't do circular dependencies... without a fight. The inter-component dependencies not 'managed' like constraints solvers do for MCAD apps.
Components and assemblies are individual files in MCAD.
Placement of these within assemblies in MCAD is a product of matrix transforms and persistent constraints. There is no bi-directional link, the link is unidirectional (downflow only), because of the use of proxies.
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.
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.
You notice the dilemma, if you generate 100 parts, and then you realize you only need 20, you've created 80 extra parts which you have no need for, thus generating wasteful data that may cause file management issues later on.
GH remains in a transient world, and when you decide to bake geometry (if you need to at all), you can do that in one Rhino file, and save it as the state of the design at that given moment. Very convenient for design, though unacceptable for most non-digital manufacturing methods, which greatly limits Rhino's use for manufacturing unless you combine it with an MCAD app.
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.
The other thing that MCAD apps like Inventor have, is the 'structured' interface that offers up all that setting out information like the coordinate systems, work planes, parameters etc in a concise fashion in the 'history tree'. This will translate into user speed. GH's canvas is a bit more freeform. I suppose the info is all there and linked, so a bit of re-jigging is easy. Also, see how T-Flex can even embed sliders and other parameter input boxes into the model itself. Pretty handy/fast to understand, which also means more speed.
True. As long as you keep the browser pane/specification tree organized and easy to query.
:)
Would love to understand what you did by sketching.
I'll start by showing what was done years ago in the Inventor model, and then share with you what I did in GH, but in another post.
Let's use one of the beams as an example:
We can isolate this component for clarity.
Notice that I've highlighted the sectional sketch with dimensions, and the point of reference, which is in relation to the CL of the column which the beam bears on. The orientation and location of the beam is already set by underlying geometry.
Here's a perspective view of the same:
The extent of the beam was also driven by reference geometry, 2 planes offset from the beam's XY plane, driven by parameters from another underlying file which serves as a parameter container:
Reference axes and points are present for all other components, here are some of them:
It starts getting cluttered if you see the reference planes as well:
Is I mentioned earlier, over time we've found better ways to define and associate geometry, parameters, manage design change, improving the efficiency of parametric models. But this model is a fair representation of a basic modeling approach, and since an Inventor-GH comparison is like comparing apples and oranges anyways, this model can be used to understand the differences and similarities, for those interested.
I haven't even gotten to your latest post yet, I will eventually.…
Added by Santiago Diaz at 10:36am on February 26, 2011
he picture (4).
Previously, I had a problem with generating intersections between the two directions of the beams, but a colleague helped me by extending beams, so there was no problem with lines of intersection. But this solution has generated curl (5) at the highest vertex geometry, which I ignored in order to repair it before printing, perhaps this mean my problem with my beam spread properly. Only when the beams is 19, does not jump no problem, but I still can not distribute them properly.
(1)
(2)
(3)
(4)
(5)
I tried to show as simply as possible by removing or signing my code in GHX file.
Thank you in advance for your help
…
cy of design communication and the control of information-flow are as important as the creativity of ideas. In response to the concurrent digital evolution emerging in the architectural industry world-wide, the Faculty of Architecture at The University of Hong Kong will host a two week intensive summer program named Digital Practice.Led by professors from The University of Hong Kong, as well as invited practitioners with expertise in practice of cutting edge digital techniques, the program offers participants opportunities to experience applications of computational tools during different stages of an architectural project, i.e. concept design, form finding and optimization, delivery, management and communication of design information under the team-based working environment. By learning advanced computational techniques through case studies in the context of Hong Kong, participants are expected to go beyond the conventional perception of technology, considering users and tools as a feedback-based entity instead of a dichotomy. The program, which is taught in English, includes a series of evening lectures related delivered by teaching staff and invited local architects.對於高品質的建築專案,創意之外,專案過程中高效的設計資訊管理和交流成為項目設計深化和實施必不可少的環節。今天,數字化技術不但改變了建築師的繪圖工具,影響了設計的過程,而且提供了工程建造和管理實施的更有效、更高效的手段。針對建築的數位化演進,香港大學建築學院將於2011年暑假期間,在香港大學建築學院舉辦“數位化實踐”國際研習班。在香港大學建築學院教授及有著相關豐富經驗的外聘實踐建築師的指導下,學員將有機會體驗在專案的不同階段(如概念設計、設計形式的生成、優化,設計資訊的管理和交流),如何有效地應用各種運算智慧化技術(從設計的數位化生成和建築資訊類比到物理模型),提升設計實施的品質,增加設計團隊對於方案的控制。我們將挑戰對於“技術”的傳統認知,即相對於使用者它不僅是工具,更是與使用者互動的媒介,二者形成一個有機的合體。研習班期間會安排系列講座,展現數位化技術在實踐工程中的廣泛應用。…
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
…
he concept, moving on to decision making and continuing with digital and generative design tools TO GET THE BEST SOLUTION for each problem.
WHY? The world is complex and ever-changing and we need to be able to handle the volume of information we receive and, of course, to find and choose the best solution. Therefore, we direct our ATTENTION TO THE CAUSE, and not only on the effects/solutions.
We will learn from NATURE, the only “company” that has not gone bankrupt in over 4000M years, and it’s GENERATIVE SOLUTIONS.
> OBJECTIVES <
The participants will work in multidisciplinary groups (ex. architect + designer + business manager + constructor + communication specialist etc.) applying knowledge management tools, different approaches and nature-based optimization methods.
Listed objectives:
1. Improving the generative way of TURNING AN IDEA INTO A PROJECT through problem-solving thinking
2. Discovering nature’s ways of shaping evolutionary solutions
3. Getting out from our comfort zone and working together with other professionals in groups in order to achieve better solutions: Multidisciplinary Design Optimization
4. Learning to use technology to manage information in the decision making process
& surviving the whole week
> ATTENDANCE & COSTS <
> Early bird – until 17th March 2013
Lecture – 15 euro (includes presentations, food& drinks)
Workshop – 100 euro (includes lecture, food& drinks)
> Late bird – until 6th April 2013
Lecture – 25 euro (includes presentations, food& drinks)
Workshop – 120 euro (includes lecture, food& drinks)
…