) Course Fee: Professional EUR 825,- (+VAT), Student EUR 415,- (+VAT)
Led by plug-in developer and structural engineer Clemens Preisinger, along with Zeynep Aksoz and Matthew Tam from the expert Karamba3D team, this three-day workshop will focus on methods of setting up structural systems in the parametric environment of Grasshopper. The participants will be guided through the basics of analyzing and interpreting structural models, to optimization processes, and how to integrate Karamba3D into C# scripts.
This workshop is aimed towards beginner to intermediate users of Karamba3D. However, advanced users are also encouraged to apply. It is open to both professional and academic users. For beginner users of Rhino and Grasshopper, there will be an optional introductory course one day before the Karamba3D course.
Karamba3D 1is a parametric structural engineering tool which provides accurate analysis of spatial trusses, frames, and shells. Karamba3D is fully embedded in the parametric design environment of Grasshopper, a plug-in for the 3D modeling tool Rhinoceros. This makes it easy to combine parameterized geometric models, finite element calculations, and optimization algorithms like Galapagos.
Course Outline
Introduction and presentation of project examples
Optimization of cross sections of line-based and surface-based elements
Geometric optimization
Topological optimization
Structural performance informed form finding
Understanding analysis algorithms embedded in Karamba3D and visualizing results
Complex workflow processes in Rhino, Grasshopper, and Karamba3D
Places are limited to a maximum of 10 participants with limited educational places. A minimum of 4 participants is required for the workshop to take place. The workshop will be canceled if this quota is not filled by October 28. The workshop will be taught in English.
Course Requirements
Basic Rhino and Grasshopper knowledge is recommended. An introductory course is offered.
No knowledge of Karamba3D is needed. Participants should bring their own laptops with Grasshopper and either Rhino 5 or Rhino 6 installed. You can download a 90-day trial version of Rhino. Karamba3D ½ year licenses for non-commercial use will be provided to all participants.
Please register here……
Added by Matthew Tam at 6:38am on September 13, 2019
ndrea Graziano (Co-de-iT) Arch. Salvo Pappalardo (AION architecture) Arch. Giovanni Basile (Officina Ermocrate)
[.] Descrizione:
Modulo 1 Il workshop è finalizzato a fornire ai partecipanti i fondamenti della modellazione parametrica e generativa attraverso Grasshopper, plug-in di programmazione visuale per Rhinoceros 3D (uno dei più diffusi modellatori NURBS per l‘architettura e il design). Il workshop mira a gestire e sviluppare il rapporto tra informazione e geometria lavorando sui sistemi di involucro in condizioni specifiche. La discretizzazione di superfici (pannellizazione sia Nurbs che Mesh), la modellazione delle geometrie attraverso informazioni (siano esse provenienti da dati di analisi ambientali, da mappe di colore o da database), l’estrazione e la gestione di informazioni richiedono la comprensione delle strutture dei dati al fine di definire un processo che va dalla progettazione alla costruzione. I partecipanti impareranno come costruire e sviluppare strutture di dati parametrici per informare geometrie ‘data-driven’ e come estrarre le informazioni rilevanti da tali modelli per il processo di costruzione.
Modulo 2 Il workshop, volto a promuovere le nuove tecnologie digitali di supporto alla progettazione e alla fabbricazione, fornirà ai partecipanti, utilizzando Grasshopper, gli strumenti per la preparazione dei modelli 3D di elementi modulari decorativi "bricks & tiles" in argilla la cui successiva prototipazione avverrà tramite fresatura dello stampo con pantografo CNC a 3 assi. Il workshop darà quindi ai partecipanti i fondamenti per l’utilizzo di tale strumento di fabbricazione digitale e si concluderà con la fabbricazione di un proprio modello realizzato durante il corso.
[more info]
[Press Kit]…
EP output variables are to calculate outdoorAirEnergy?
Thank you very much!
Output variables on the Read EP Results component:[1] totalThermalEnergy=cooling+heating[2] thermalEnergyBalance=cooling (-)andheating (+)[3] cooling= Zone Ideal Loads Supply Air Total Cooling Energy [J](Hourly)=Zone Ideal Loads Supply Air Sensible Cooling Energy [J](Hourly)+ Zone Ideal Loads Supply Air Latent Cooling Energy [J](Hourly)[4] heating= Zone Ideal Loads Supply Air Total Heating Energy [J](Hourly)= Zone Ideal Loads Supply Air Sensible Heating Energy [J](Hourly) + Zone Ideal Loads Supply Air Latent Heating Energy [J](Hourly)[5] electricLight=Zone Lights Electric Energy [J](Hourly)[6] electricEquip=Electric Equipment Electric Energy [J](Hourly)[7] peopleGains=Zone People Total Heating Energy [J](Hourly)[8] totalSolarGain=Zone Windows Total Transmitted Solar Radiation Energy[9] infiltrationEnergy=Zone Infiltration Total Heat Gain Energy (+)andZone Infiltration Total Heat Loss Energy (-)[10] outdoorAirEnergy= ???[11] natVentEnergy=Zone Ventilation Total Heat Gain Energy (+)andZone Ventilation Total Heat Loss Energy (-)[12] operativeTemperature=Zone Operative Temperature[13] airTemperature=Zone Mean Air Temperature[14] meanRadTemperature=Zone Mean Radiant Temperature[15] relativeHumidity=Zone Air Relative Humidity[16] airFlowVolume=[infiltrationFlow] Zone Infiltration Standard Density Volume Flow Rate+[natVentFlow] Zone Ventilation Standard Density Volume Flow Rate+[mechSysAirFlow] Zone Mechanical Ventilation Standard Density Volume Flow Rate+[earthTubeFlow] Earth Tube Air Flow Volume[17] airHeatGainRate=[surfaceAirGain] Zone Air Heat Balance Surface Convection Rate+[systemAirGain] Zone Air Heat Balance System Air Transfer Rate
Output variables on the Read EP Surface Results component:[1] surfaceIndoorTemp= Surface Inside Face Temperature[2] surfaceOutdoorTemp=Surface Outside Face Temperature[3] surfaceEnergyFlow=[opaqueEnergyFlow] Surface Average Face Conduction Heat Transfer Energy+[glazEnergyFlow] Surface Window Heat Gain Energy[4] opaqueEnergyFlow =Surface Average Face Conduction Heat Transfer Energy[5] glazEnergyFlow= Surface Window Heat Gain Energy[6] windowTotalSolarEnergy=Surface Window Transmitted Solar Radiation Energy[7] windowBeamEnergy=Surface Window Transmitted Beam Solar Radiation Energy[8] windowDiffEnergy=Surface Window Transmitted Diffuse Solar Radiation Energy[9] windowTransmissivity=Surface Window System Solar Transmittance…
available yet on this front.
Here's a basic breakdown:
1. Galapagos populates the first generation (G[0]) with random individuals. Basically the sliders are all set at random values.
2. Now we step into the generic evolutionary loop, so G[0] becomes G[n], as this is the same for all generations.
3. For each individual in G[n] the fitness is computed. This is the most time consuming operation in the solver.
4. The individuals in G[n] must populate G[n+1], there are two ways in which this can happen:
- Individuals 'survive' the generation gap and are present in both G[n] and G[n+1]
- Individuals mate to produce offspring that populates G[n+1]
Often, fit individuals will use both vectors.
5. Creating offspring is a complex procedure and there are many factors that affect it.
5a. Coupling: this step involves picking individuals from G[n] for mating couples. Individuals can be picked isotropically (i.e. everyone has an equal chance of being picked, regardless of fitness), exclusively (i.e. only the fittest X% are allowed to mate, but they are all equally likely to mate) and biased (i.e. the fitter an individual, the higher the chance it finds a mate, but everybody has a chance)
5b. Mate selection: this step involves someone picking a mate from G[n]. When an individual has been selected to mate (step 5a), he/she needs to find a mate. Instead of picking another fit individual, mate selection happens based on genetic distance. For example, individuals could be said to prefer very similar individuals, or they could be said to prefer very different individuals, or something in between. This is called the "Inbreeding factor" in Galapagos. A high inbreeding factor will result in 'incestuous' couples, a low factor will result in 'zoophilic' couples. Neither extreme is healthy.
5c. Coalescence: Once a couple has been formed, offspring needs to be generated. Basically coalescence defines how the genomes of mommy and daddy are combined to produce little johnny. The best analogy with biological coalescence is crossover, where P out of Q genes are inherited from mom and (Q - P) genes are inherited from dad. In Galapagos, these genes are always consecutive, thus if the genome consists of 5 genes, the first 3 come from mom and the last 2 come from dad. Or the first 1 comes from mom and the last 4 come from dad. The amount of genes per parent is random. Genes can also be interpolated (there is no analogy for this in biological evolution). Since a single gene in Galapagos is nothing more than a slider position, it is quite easy to average the positions for mom and dad. Finally, genes can be created via preference blending. Very similar to interpolation, but the blending is weighted by the relative fitness of both parents.
5d. Mutations: Once the offspring genome has been created in step 5c, mutations are applied. Mutations are random events that affect gene values in random ways. Although the Galapagos engine supports several kinds of mutations, in Grasshopper it only makes sense to allow for point mutations, as it it not possible grow or shrink the number of sliders.
6. Finally, a new generation is populated and solved for fitness. There is an optional final step which can ensure that fit individuals do not get lost in the process. The "Maintain High Fitness" value controls what percentage of individuals from G[n] are allowed to displace individuals in G[n+1] provided they are fitter. By default this percentage is 10. Which basically means that the 10% fittest individuals in G[n] are compared to the 10% lamest individuals in G[n+1] and if grandpa is indeed fitter, he's allowed to bump junior off the list.
7. This process (step 2 - step 6) repeats until the maximum number of generations has been reached, until no progress has been made for a specified number of generations or until a specific fitness value has been reached.
--
David Rutten
david@mcneel.com
Poprad, Slovakia…
e actual method.
Below, I descibe how they work:
1) drag "scheduleDay" onto the canvas
2) drag some Gene Pool lists onto the canvas and connect a number slider - from 0 to 3.
3) connect the Gene Pool list to _genePool input. The component change some important features of the Gene Pool list automatically. Now you have LB_GenePool!!
4) choose the template that it's suitable for you.
5) disconnect LB_GenePool and if templates are not good, you can change them manually
6) drag "Ladybug annual schedule" onto the canvas
7) Connect LB_GenePools to inputs for the days of the week, Epw file and if you want to "_holiday" (in this way you consider holidays). Now you have your simple schedule.
8) a small workflow to visualize it into Rhino..
9) Connect "Ladybug annual schedule" to "Honeybee_Create CSV Schedule" to make your csv Schedule
You could make a schedule more complex than the one in the example above.
You can do that with _analysisPeriod input.
Bests
Antonello…
pending on registered students
Who is it for > Aimed to professionals or students in engineering, architecture, art, design (interior, industrial, product, jewelry, furniture...) and backgrounds related
Requirements > Zoom app and Rhino 6 or 7 for Windows or Mac.
Is previous knowledge in Grasshopper required?
It is expected students know the Grasshopper interface, connections, basic operations and transformations, simple data list structures: longest list, flatten, graft... We do recommend check the program of the course "Grasshopper Basics" HERE in order to make sure you have knowledge on these tools.
Dates April 9-10
Registration deadline Monday April 4
Schedule: Saturday and Sunday. 3,30 - 8,30pm
More info:
https://controlmad.com/eng/formacion/curso-grasshopper-intermedio/
…
ipants from 12 countries to attend lectures and technical seminars furthering their understanding of digital design and fabrication in architecture. This year LaN extends the workshop with parallel intro sessions in all LAN ports–Barcelona / Boulder / Brooklyn / Bozeman (Aug 10-12). In 2009, you choose your modules.
Register Online
*please note, participants who have previously attended a LaN workshop automatically get a discount of total price.
Key Dates:
June 1, 2009: Workshop Launch - Applications Open @ 10% off price
June 19, 2009: Workshop Applications Open at 5% off
July 10, 2009: Applications open
August 7, 2009: Applications Closed
August 10-12, 2009: PHASE I - Modules [North America and Barcelona]
August 16-22, 2009: PHASE II - Modules [Barcelona @ IaaC / Institute for advanced architecture of Catalonia ]
August 24-30, 2009: PHASE III - Urban Drifts Workshop [Barcelona @ IaaC / Institute for advanced architecture of Catalonia]
*please note: all Rhino courses will be taught by a Rhino Certified Trainer
PHASE I: Aug 10-12
Phase I will be conducted in parallel in BARCELONA / BOULDER / BROOKLYN / BOZEMAN and are meant to familiarize participants with software and techniques. Phase I registration is inclusive of both module 1 & 2.
1. Rhino Introduction - 12hrs
2. RhinoFab: Rhino + Fabrication - 12hrs
PHASE II: Aug 17 - 22
Phase II modules will take place at the Institute for Advanced Architecture of Catalonia [IaaC] in Barcelona, Spain and will deal with scripting, parametric design and fabrication provided by FabLab BCN.
3. RhinoScript - 20hrs
4. Parametric Modelling in Rhino: Grasshopper - 20hrs
5. Introduction to Digital Fabrication - 20hrs
6. Machining Processes- 20hrs
PHASE III: Aug 24-30 ‘Urban Drifts’ Workshop - 40hrs
Register Online
Contact: bcn2@livearchitecture.net
More Information: http://www.livearchitecture.net…
, but at the lowest level computers only manipulate ones-and-zeros according to exact and unambiguous rules. As a result of this it is actually impossible to generate true random numbers using a computer. Computers use algorithms that create sequences of pseudo random numbers, numbers that appear to be random, but in fact are created by the application of a deterministic algorithm.
One of the major benefits of pseudo random numbers over actual random numbers is that it's easy to reproduce a sequence of numbers. If you generate the first 50 numbers in the pseudo-random sequence with seed=5 they will be exactly the same as when you did it last week. If you want different random numbers, you have to use a different seed. In Grasshopper I thought it important that the same random numbers are always generated, as that minimizes the 'surprise'. However, since the default numbers might not be to your liking, you can always play around with the seed value until you find a pseudo random sequence that suits you.
If you generate 8 random numbers between 1 and 10, you might get a sequence like this:
{5, 8, 2, 4, 2, 7, 3, 10}
The pseudo random number generator guarantees that the spread of the numbers in the sequence is equal everywhere, but only when you generate an infinite amount of numbers. Since every sequence you care to generate in one human lifetime will not be infinite, there will always be some 'clumping' of values. A small stretch along the number line that is somewhat more densely populated by random numbers than the adjacent stretch.
There is also absolutely no guarantee that you won't get the same number more than once. Obviously this is impossible if you were to generate 50 values between 1 and 10 (there are only 10 possible unique numbers), but even if you generate only 2 values between 1 and 10 you might still get the same number twice.
Indeed in my example above the value 2 occurs twice, whereas the value 1 doesn't occur at all. If you want a range of numbers without overlaps, it's better to not use the Random component, but instead generate all the numbers using a Range or Series component and then Jitter the list, thus randomizing the order of the values, but not the values themselves.
--
David Rutten
david@mcneel.com
Poprad, Slovakia…