tal fabrication tools. DLAB will investigate natural growth processes in relation to innovative concepts of architectural tectonics and fabrication. We will carefully interweave these concepts with interaction and participatory design to create full-scale working prototypes. The programme will be formulated as a two-phase process. During the initial phase participants will benefit from the unique atmosphere and facilities of AA’s London home. The second phase will shift to AA Hooke Park campus and revolve around the fabrication and assembly of a full-scale architectural intervention.
Some of the most prominent features which the participants will be exposed to during DLAB include:
Teaching team: Participants engage in an active learning environment where the large tutor to student ratio (5:1) allows for personalized tutorials and debates.
Facilities: The Digital Prototyping Lab (DPL) in AA London houses cutting-edge facilities for the fabrication of physical outputs through digital fabrication techniques. The facilities at AA Hooke Park allow for the fabrication of one-to-one scale prototypes with a 3-axis CNC router.
Computational skills: The toolset of DLAB includes but is not limited to Rhinoceros, Processing, Arduino, and Grasshopper.
Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies to the participants through theoretical sessions and seminars forms one of the major goals of DLAB.
Professional awareness: Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly-focused collaborative educational model which promotes research-based design and making.
Fabrication: According to the specific agenda of each year, a one-to-one scale prototype is fabricated and assembled by design teams.
Lecture series: Taking advantage of its unique location, London, DLAB creates a vibrant atmosphere with its intense lecture programme conveying the diverse expertise of professionals in the areas of digital design and fabrication techniques.
Applications
The deadline for applications is 8 July 2013.
An application can be made by completing the online application form or completing the PDF application form and emailing it to visitingschool@aaschool.ac.uk.
Fees
The AA Visiting School requires a total fee of £1,660 per participant, which includes a £700 deposit and a £60 Visiting Membership.
Fees are non-refundable. Fees do not include flights. Train tickets between London-Hooke Park, accommodation, food in Hooke Park, and materials are included in the fees.
Students need to bring their own laptops, digital equipment and model making tools.…
e following tutorial: http://digitaltoolbox.info/grasshopper-intermediate/offset-scale/
I think the beginning is correct because I have the same things. However, at the last step I can't correctly generate the tabs for assemble this shape. I try to put "flatten" everywhere but it doesn't work ... If someone just give me a little help please ? Or check if everything is okay? Or if there is an another tutorial ? Or if the question has already been asked in this forum ? I take! I'm really sorry if my problem is not very interesting but I'm new ... Yours, Anna, windows 7 on bootcamp Rhino 5 Grasshopper O.8.0063
Files :
Shape.3dm
Shape.gh
…
ity...? How to define this parameters and simulate them? How to simulate and evaluate form? How to work with Evolutionary Solver inside Grasshopper3d? How to evaluate end data and choose the fittest geometry? How to optimize geometry to increase overall energy efficiency of project!?
»»» Rhinoceros 5 + Grasshopper 3D & Sub-Plugins *required grasshopper plugins: Elk, LadyBug + Honeybee, Mesh edit (uto tools), Mesh+, Weaverbird, Human, TT Toolbox, Lunchbox, Horster tools, Exoskeleton & Cytoskeleton
>>>Please download and install Rhino + GH3D & Sub-Plugins before workshop start!<<<
with Igor Mitrić
DIGITAL FABRICATION BASICS - 3D SCANNING AND 3D PRINTING
Workshop would provide overview of current state of technologies for 3D scanning and 3D printing with those affordable and practical devices for research and development new design projects. Attendees would use 3D scanner to generate 3D model in virtual computer space, remodel, and prepare for 3D printer.
with Roberto Vdović
OPTIONAL FIELD TRIP - ON SITE ENERGY MEASUREMENTS (19.6.2015)
with Benedikt Borišič and Veronika Madritsch
Participants will receive CERTIFICATES of knowledge acquired at the workshop for each section. Participation is FREE! The number of places is LIMITED!
MORE INFORMATION AND APPLICATION WWW.LIVECONST.EU
WORKING SCRITPS
Day 1 City.gh
Day 2 Lady Bug.gh
Day 3 Galapagos
Record Galapagos.gh
Day 3_First Half.gh
Day 3 Second Half.gh
Tower from any Curve.gh
…
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…
giornata inaugurale sarà dedicata alla free-lecture introduttiva finalizzata alla realizzazione di un modello d'architettura complesso attraverso l'utilizzo di comandi e tecniche avanzate di rappresentazione con Grasshopper (plug-in parametrica di Rhinoceros) e 3dsMax. Sarà illustrato inoltre il potenziale di V-ray per 3dsMax realizzando un rendering concettuale. Durante il mini-corso dell' openDAY verranno mostrate le caratteristiche e le potenzialità degli strumenti per far luce sui nuovi valori assunti dalla modellazione 3D. La modellazione 3D sta interessando un pubblico sempre più vasto inserendosi in una nuova fase di ampia disponibilità per conoscenze, software, hardware di prototipazione e modelli. Pur mantenendo tutti i suoi valori già noti la questione si è talmente ampliata fino ad interessare norme giuridiche (diritti sui modelli ,concorrenza con offerte di servizi apparentemente simili, informazioni deformate e onfusione nei media) Makers University[http://www.makersuniversity.com], in collaborazione con parametricart, vi propone un punto di vista ampio e sintetico su queste tematiche.
Al termine della free-lecture, sarà illustrata l'offerta formativa [CLICCA QUI] di parametricart riferita ai corsi che si terranno nei mesi di Gennaio e Febbraio 2013 inseriti all'interno della più ampia programmazione della Makers University. SONO PREVISTE TARIFFE PROMOZIONALI PER COLORO CHE SI ISCRIVERANNO AI CORSI durante l'OpenDAY.
La lezione e la presentazione si terranno nel nuovo spazio co-working il PEDONE.
PROGRAMMAZIONE
- I temi della Makers University [Leo Sorge];
- Modellazione della parametricTower (concept di architettura complessa) utilizzando Grasshopper, applicativo per la modellazione parametrica [VIDEO] [Michele Calvano];
- Modellazione di una copertura reticolare 3D a completamento della parametricTower con 3dsMax utilizzando tecniche di modellazione mesh complesse [Wissam Wahbeh];
- Rendering con V-ray per 3dsMax illustrando la nuova interfaccia nodale [Wissam Wahbeh].
- Question Time per chiarimenti sugli argomenti illustrati.
COME
L'openDAY sarà aperto a tutti gli interessati,completamente gratuito e sarà replicato in tre sessioni di uguali contenuti organizzate nei seguenti orari:
Sessione [1] 11,30 - 13,30
Sessione [2] 15,30 - 17,30
Sessione [3] 17,30 - 19,30
Per necessità di organizzazione è importante la prenotazione all'evento utilizzando il form in fondo alla pagina specificando nella stringa apposita, il nome dell'evento e la sessione (es. open day sessione 1) oltre agli altri dati richiesti.…
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
lly it should not make much of a difference - random number generation is not affected, mutation also is not. crossover is a bit more tricky, I use Simulated Binary Crossover (SBX-20) which was introduced already in 1194:
Deb K., Agrawal R. B.: Simulated Binary Crossover for Continuous Search Space, inIITK/ME/SMD-94027, Convenor, Technical Reports, Indian Institue of Technology, Kanpur, India,November 1994
Abst ract. The success of binary-coded gene t ic algorithms (GA s) inproblems having discrete sear ch sp ace largely depends on the codingused to represent the prob lem variables and on the crossover ope ratorthat propagates buildin g blocks from pare nt strings to childrenst rings . In solving optimization problems having continuous searchspace, binary-co ded GAs discr et ize the search space by using a codingof the problem var iables in binary st rings. However , t he coding of realvaluedvari ables in finit e-length st rings causes a number of difficulties:inability to achieve arbit rary pr ecision in the obtained solution , fixedmapping of problem var iab les, inh eren t Hamming cliff problem associatedwit h binary coding, and processing of Holland 's schemata incont inuous search space. Although a number of real-coded GAs aredevelop ed to solve optimization problems having a cont inuous searchspace, the search powers of these crossover operators are not adequate .In t his paper , t he search power of a crossover operator is defined int erms of the probability of creating an arbitrary child solut ion froma given pair of parent solutions . Motivated by t he success of binarycodedGAs in discret e search space problems , we develop a real-codedcrossover (which we call the simulated binar y crossover , or SBX) operatorwhose search power is similar to that of the single-point crossoverused in binary-coded GAs . Simulation results on a number of realvaluedt est problems of varying difficulty and dimensionality suggestt hat the real-cod ed GAs with t he SBX operator ar e ab le to perform asgood or bet t er than binary-cod ed GAs wit h t he single-po int crossover.SBX is found to be particularly useful in problems having mult ip le optimalsolutions with a narrow global basin an d in prob lems where thelower and upper bo unds of the global optimum are not known a priori.Further , a simulation on a two-var iable blocked function showsthat the real-coded GA with SBX work s as suggested by Goldberg
and in most cases t he performance of real-coded GA with SBX is similarto that of binary GAs with a single-point crossover. Based onth ese encouraging results, this paper suggests a number of extensionsto the present study.
7. ConclusionsIn this paper, a real-coded crossover operator has been develop ed bas ed ont he search characte rist ics of a single-point crossover used in binary -codedGAs. In ord er to define the search power of a crossover operator, a spreadfactor has been introduced as the ratio of the absolute differences of thechildren points to that of the parent points. Thereaft er , the probabilityof creat ing a child point for two given parent points has been derived forthe single-point crossover. Motivat ed by the success of binary-coded GAsin problems wit h discrete sear ch space, a simul ated bin ary crossover (SBX)operator has been develop ed to solve problems having cont inuous searchspace. The SBX operator has search power similar to that of the single-po intcrossover.On a number of t est fun ctions, including De Jong's five te st fun ct ions, ithas been found that real-coded GAs with the SBX operator can overcome anumb er of difficult ies inherent with binary-coded GAs in solving cont inuoussearch space problems-Hamming cliff problem, arbitrary pr ecision problem,and fixed mapped coding problem. In the comparison of real-coded GAs wit ha SBX operator and binary-coded GAs with a single-point crossover ope rat or ,it has been observed that the performance of the former is better than thelatt er on continuous functions and the performance of the former is similarto the lat ter in solving discret e and difficult functions. In comparison withanother real-coded crossover operator (i.e. , BLX-0 .5) suggested elsewhere ,SBX performs better in difficult test functions. It has also been observedthat SBX is particularly useful in problems where the bounds of the optimum
point is not known a priori and wher e there are multi ple optima, of whichone is global.Real-coded GAs wit h t he SBX op erator have also been tried in solvinga two-variab le blocked function (the concept of blocked fun ctions was introducedin [10]). Blocked fun ct ions are difficult for real-coded GAs , becauselocal optimal points block t he progress of search to continue towards t heglobal optimal point . The simulat ion results on t he two-var iable blockedfunction have shown that in most occasions , the sea rch proceeds the way aspr edicted in [10]. Most importantly, it has been observed that the real-codedGAs wit h SBX work similar to that of t he binary-coded GAs wit h single-pointcrossover in overcoming t he barrier of the local peaks and converging to t heglobal bas in. However , it is premature to conclude whether real-coded GAswit h SBX op erator can overcome t he local barriers in higher-dimensionalblocked fun ct ions.These results are encour aging and suggest avenues for further research.Because the SBX ope rat or uses a probability distribut ion for choosing a childpo int , the real-coded GAs wit h SBX are one st ep ahead of the binary-codedGAs in te rms of ach ieving a convergence proof for GAs. With a direct probabilist ic relationship between children and parent points used in t his paper,cues from t he clas sical stochast ic optimization methods can be borrowed toachieve a convergence proof of GAs , or a much closer tie between the classicaloptimization methods and GAs is on t he horizon.
In short, according to the authors my SBX operator using real gene values is as good as older ones specially designed for discrete searches, and better in continuous searches. SBX as far as i know meanwhile is a standard general crossover operator.
But:
- there might be better ones out there i just havent seen yet. please tell me.
- besides tournament selection and mutation, crossover is just one part of the breeding pipeline. also there is the elite management for MOEA which is AT LEAST as important as the breeding itself.
- depending on the problem, there are almost always better specific ways of how to code the mutation and the crossover operators. but octopus is meant to keep it general for the moment - maybe there's a way for an interface to code those things yourself..!?
2) elite size = SPEA-2 archive size, yes. the rate depends on your convergence behaviour i would say. i usually start off with at least half the size of the population, but mostly the same size (as it is hard-coded in the new version, i just realize) is big enough.
4) the non-dominated front is always put into the archive first. if the archive size is exceeded, the least important individual (the significant strategy in SPEA-2) are truncated one by one until the size is reached. if it is smaller, the fittest dominated individuals are put into the elite. the latter happens in the beginning of the run, when the front wasn't discovered well yet.
3) yes it is. this is a custom implementation i figured out myself. however i'm close to have the HypE algorithm working in the new version, which natively has got the possibility to articulate perference relations on sets of solutions.
…
n complex architectural design and fabrication processes, relying heavily on materiality and performance. The programme brings together a range of experts – tutors and lecturers – from internationally acclaimed academic institutions and practices, Architectural Association, Zaha Hadid Architects, among others.
Taking place at the unique atmosphere of AA’s London home, the three-week long programme is formulated as a two-stage process. During the initial stage, participants are introduced to core concepts related to material processes, computational methods, and various digital fabrication techniques. During the second stage, the fabrication and assembly of a full-scale architectural intervention with the use of robotic fabrication techniques unifies the design goals of the programme.
Prominent Features of the programme:
• Teaching team: Participants engage in an active learning environment where the large tutor to student ratio (5:1) allows for personalized tutorials and debates.
• Facilities: AA Digital Prototyping Lab (DPL) offers laser cutting, CNC milling, 3d printing facilities, and 2 KUKA robotic arms.
• Computational skills: The toolset of Summer DLAB includes but is not limited to Rhinoceros, Processing, Grasshopper, and various analysis tools.
• Theoretical understanding: The dissemination of fundamental design techniques and relevant critical thinking methodologies through theoretical sessions and seminars forms one of the major goals of Summer DLAB.
• Professional awareness: Participants ranging from 2nd year students to PhD candidates and full-time professionals experience a highly-focused collaborative educational model which promotes research-based design and making.
• Robotic Fabrication: According to the specific agenda of each year, scaled working models are produced via advanced digital machining tools, followed by the fabrication of one-to-one scale prototypes with the use of KUKA KR60 and KR30 robots.
• Lecture series: Taking advantage of its unique location, London, Summer DLAB creates a vibrant atmosphere with its intense lecture programme.
Eligibility: The workshop is open to architecture and design students and professionals worldwide.
Accreditation: Participants gain 1 Year AA Visiting Membership and are awarded AA Certificate of Attendance at the successful completion of AA Summer DLAB.
Applications: The AA Visiting School requires a fee of £1900 per participant, which includes a £60 Visiting Membership fee. Discount options for groups are available. Please contact the AA Visiting School Coordinator for more details.
The deadline for applications is 17 July 2017. No portfolio or CV, only requirement is the online application form and fees. The online application can be reached from:
https://www.aaschool.ac.uk/STUDY/ONLINEAPPLICATION/visitingApplication.php?schoolID=460
For inquiries, please contact:
elif.erdine@aaschool.ac.uk (Programme Head)
alexandros.kallegias@aaschool.ac.uk (Programme Head)…