connected hyperspace where architecture can be fluid, flexible and vivid, yet the aspect of materiality requires more attention.
Action-designed structures begin to move beyond the utopian proposals of the 20th century’s manifestos and hold a place in the world of realized designs. The AA Athens Visiting School aims to bring users closer to the built environment while revisiting habits of designing, building and experiencing space through materiality. Understanding materiality and form as a ‘unified whole’, the programme integrates manufacturing techniques through the experimentation fabrication of prototypes at a 1:1 scale.
Prominent Features of the workshop/ skills developed
Participants become part of an active learning environment where the large tutor to student ratio allows for personalized tutorials and debates.
The toolset of the Athens VS includes but is not limited to Processing and Grasshopper for Rhinoceros, as well as design analysis software.
Participants gain hands-on experience on digital fabrication.
Design seminars and a series of lectures support the key objectives of the programme, disseminating fundamental computational techniques, relevant critical thinking, theoretical understanding and professional awareness.
Applications
1) You can make an application by completing the online application found under ‘Links and Downloads’ on the AA Visiting School page. If you are not able to make an online application, email visitingschool@aaschool.ac.uk for instructions to pay by bank transfer. 2) Once you complete the online application and make a full payment, you are registered to the programme. A CV or a portfolio is NOT required.
The deadline for applications is 28 June.
Location AKTO College – Athens Campus 11Α Evelpidon Street (Pedion Areos) Athens, 113 62, Greece
Fees
The AA Visiting School requires a fee of £695 per participant, which includes a £60 Visiting membership fee. Fees do not include flights or accommodation, but accommodation options can be advised.
Eligibility The workshop is open to current Undergrad and Graduate architecture and design students, PhD candidates and young professionals. Software Requirements: Adobe Creative Suite, Rhino 5.
For more information, please visit:
http://www.aaschool.ac.uk/STUDY/VISITING/athens
http://ai.aaschool.ac.uk/athens/
For inquiries, please contact:
alexandros.kallegias@aaschool.ac.uk…
m
-Area of blue line: min. 80% of the rectangel a x b
-Max. hight h of the top point: h,max = a
-Min. Volume between rectangel a x b and membrane: 500 m3
Can anyone help me?…
Data matching is a problem without a clean solution. It occurs when a component has access to differently sized inputs. Imagine a component which creates line segments between points. It will have…
start (if there is a better one I would appreciate a hint), but I thought I populate a rectangle with points, interconnect the points to later let the borders of the rectangle attract each other.
I have 4 rectangles: A, B, C and D.
On each I have 20 points (A0-A19, B0-19, etc.)
Now I want to connect each point to all the points on the other rectangles, e.g. point A0 with all the (60) points on rectangle B, C, D.
I saw the discussions about the topic sorting lists (e.g. flipping), but I didn't see them fitting on this problem, or I don't know how to abstract them for me.
Also this is a problem I am having with another definition, so if someone could help me with that list stuff, I think I could use it furthermore.
But if there is a better solution to the rectangle organisation (tessellation), I am open for that.
regards,
Max
sry for the long text…
onsidered period.
Even if the end of July for the mediterranean climate is not the best period to perform an adaptive comfort analysis (it's just a pretest to define a LB model) I want to refine the Adaptive comfort Chart (AC) by changing the external air temperature data imported from the .epw file with that of monitored data as reported here below:
Where the monitored ext air temperature are in this form (green panel below):
I have used the comfortPar component to set the following parameters:
Adaptive chart as defined by EN 15251
90% of occupants comfortable
the prevailing outdoor temperature from a weighted running mean of the last week
fully conditioned space (even if it is not properly in line with AC as already discussed)
The question is this: the AC component could correctly apply the code below if there is only a list of external temperature data for a restricted period (without indication about the limits of this period) and not for an entire year?
else: #Calculate a running mean temperature. alpha = 0.8 divisor = 1 + alpha + math.pow(alpha,2) + math.pow(alpha,3) + math.pow(alpha,4) + math.pow(alpha,5) dividend = (sum(_prevailingOutdoorTemp[-24:-1] + [_prevailingOutdoorTemp[-1]])/24) + (alpha*(sum(_prevailingOutdoorTemp[-48:-24])/24)) + (math.pow(alpha,2)*(sum(_prevailingOutdoorTemp[-72:-48])/24)) + (math.pow(alpha,3)*(sum(_prevailingOutdoorTemp[-96:-72])/24)) + (math.pow(alpha,4)*(sum(_prevailingOutdoorTemp[-120:-96])/24)) + (math.pow(alpha,5)*(sum(_prevailingOutdoorTemp[-144:-120])/24)) startingTemp = dividend/divisor if startingTemp < 10: coldTimes.append(0) outdoorTemp = _prevailingOutdoorTemp[7:] startingMean = sum(outdoorTemp[:24])/24 dailyRunMeans = [startingTemp] dailyMeans = [startingMean] prevailTemp.extend(duplicateData([startingTemp], 24)) startHour = 24
…
radius
36
48
58
67
75
82
So there is multiple file
1. This is the ghx made by Yasser for who ever needs it (Yasser if you want me to remove it i can)
2. This is the grasshopper that i made the longest lines represent the step i want to make disappear (cf the mind_mapping.jpg which shows what are the actions done)
3. This is the final result i would like to achieve (already done grasshopper + manualy but out of curiosity i would like to make it all with grasshopper !)
Thx all in advance :)…
y/pattern-design-ltd
http://architizer.com/projects/hazza-bin-zayed-hbz-stadium/
The HBZ stadium was developed with Rhino/Grasshopper and Revit.
Grasshopper was utilised from Concept level through to the production of Construction drawings.
The stadium's unique parasol roof passively provides the maximum amount of shade to create playable conditions for a desert stadium, while not obstructing grass growth.
The 25,000 seat bowl was modelled and optimised through 3d sightline calculations, to make the bowl as tight and efficient as possible while guaranteeing the best possible C-Values.
The diagrid facade, is made up of palm-inspired panels, creating shade, allowing air flow through the stadium. Panels are angled up to allow views out from key locations.
The 640 panels were carefully rationalised for construction. From an original set-out of 320 unique forms, the panels were reduced to 82 sizes without any noticeable aesthetic impact.
The full implementation of a parametric workflow in a BIM environment meant the stadium was delivered on an unprecedented fast track 18 month Design & Build.…
Added by Nick Tyrer at 6:45am on February 13, 2014