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)…
opening a simple file with 30 curves being lofted took like 2 minutes to complete and Rhino crashed afterwards saying:"Windows is out of memory and Rhino will close after you click ok."evethough I still had 7GB of free physical memory and my page file is set also to 16 GB just to be shure...I then switched to Rhino 5.0 Version 5 SR14 64-bit (5.14.522.8390, 05/22/2017) which also had big problems to display the lofted surface. It was unresponsive after loading the file for a minute and a half and then it normally displayed the lofted surface. Every move of camera takes at least 10 seconds to update, but at least it runs. GH profiler says the loft took only 12 ms (90%).
So I'm suspected my graphics card, because the Windows are just three weeks from a clean install. I've also updated my Graphics Driver from the stock Windows one to Intel HD one, but nothing changed.Is there something I'm missing??? What can I try next?My specs:CPU: i5-3320M @ 2.60 GHzRAM: 16 GBGPU: Intel HD Graphics 4000, driver: 07.04. 2017, version 10.18.10.4653
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Added by Šimon Prokop at 10:39am on October 21, 2017
tects to overcome the imposition of prefixed architectural forms in order to enhance performance-driven design and responsive kinetic solutions that interact with humans and environment. Lectures on parametric design simulation, generative and form finding as well as environmental optimization, analyzing and digital fabrication prototyping, are integrated together in 2 main modules. Students from the beginning of the school will be divided into groups to compete on a case project increasing their ability to define project parameters, design factors, solving problems, understanding factors relationships, involving environmental and human sensors, and optimizing their projects solutions in smart and inelegance way. In the beginning of the school, parametric modelling will be introduced (Rhino3d and Grasshopper) to build the necessary skills of parametric generative form methods to students. In this module will be dedicated to digital design methods and physical model making by various fabrication techniques, including laser cutting and 3D printing. Students will focus on the idea of creating algorithmic architectural form inspired by nature and their research will be supported by a series of lectures. Also they will be split into groups in order to develop projects assigned by the professors. This Module also adds Form Finding techniques to the parametric design strategies. Students will learn how material system behaviors, physical forces and responsive structure system can be digitally simulated into parametric models in order to explore complex forms that optimized and adapted to its natural behaviors, initial forces, material, particles, and structure systems. Series of lectures on form finding, natural structural algorithms, material behaviors, and physical forces will lead student to optimize their project forms. It is experimental laboratory in which kinetic interactive Architectural models are tested and designed. Students will develop novel solutions, building upon learning responsive kinetic systems. They will design Architectural responsive robotic systems inspired by nature. Projects will transform by adapting to environmental conditions and human behaviors happening at real and virtual levels.
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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
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requires four weather data inputs: air temperature (_dryBulbTemperature), relative humidity (relativeHumidity_), wind speed at 1.1 meters from the ground (windSpeed_) and mean radiant temperature (meanRadiantTemperature_).You can add values to the first three inputs from the Ladybug "Import Epw" component. For the last (meanRadiantTemperature_), you can add it from Ladybug's "Outdoor Solar Adjusted Temperature Calculator" component, or let "Thermal Comfort Index" component to calculate it. Both use different methods to calculate the final values.
I attached an example file below with second option.For more precise calculations you can use Honeybee and Chris' microclimate maps.An icing on the cake for the end: one of Ladybug developers yesterday released a set of Ladybug components for modelling in ENVI-met application. ENVI-met is cutting-edge microclimate software, which can be downloaded for free. It opens a number of advanced new analysis in outdoor domain, which couldn't have been done with the current Ladybug+Honeybee tools. So you can perform the simulation in ENVI-met 4 free software, and then add mean radiant temperature values from ENVI-met simulation to "Thermal Comfort Indices" component. Here is an example file.If you would like to go with the last approach, then the best would be to post a question about it in this topic.
1) You can make a polygonized tree.I haven't subtracted the trunk from the crown, but I guess it makes sense that it can be done.2) In most solar related simulations, a default albedo value of 0.2 is used. This corresponds to average albedo value taken from materials surrounding the urban or countryside location (concrete, grass, gravel, sand, asphalt...). However the presence of snow can significantly magnify the average albedo value several times. "Sunpath shading" components albedo_ input has an ability to calculate albedo due to presence of snow, if nothing is added to it (to albedo_ input). As you are performing the analysis of PET in a horizontal plane, it will not affect your calculations.3) Most thermal comfort indices will require performing analysis at 1.1 meters above the ground. This is considered to be height of standing person's gravity center.The same goes for PET index. So you are correct: you should place the analysis grid at 1.1 meters above the ground before adding it to the "Sunpath Shading" component.It is worth mentioning that "Thermal Comfort Indices" component used in this topic's PET_on_Grid2.gh and PET_on_Grid3.gh files is from last year, and much slower than the newest one (VER 0.0.64 MAR 18 2017) used in the example attached below. Just a remainder if you have been using older version of this component.Let me know if I misunderstood some of your questions, or if I missed to answer some of them.
EDIT: sorry for posting a double reply. When I posted it the first time, I only got links visible, with no text. Something has been wrong with grasshopper ning forum for the last couple of months.…
he example file to this file so you can give it a try with any version of Honeybee that you're already using. The only requirement is to have OpenStudio installed as the component is using OpenStudio libraries to parse gbXML files. If you're using the latest version available on github the component is also available under WIP tab.
Why?
The main purpose of developing this component is to save time and effort for importing Revit models for energy and daylight analysis. It bothers me to see a lot of smart people spend a lot of time to just come up with solutions just to get the geometry from Revit to Honeybee for analysis. This component is not solving all the issue but is a first step forward. In an ideal world, the future version of Honeybee, which works both under DynamoBIM and Grasshopper should address this issue but that can take some time to be fully ready!
How?
To use this component you need to Export your Revit model as gbXML and then use the file path to load the file into Grasshopper. There are several resources available online on how to prepare the analytical model in Revit and export the gbXML file. Here is an image for importing the Revit 2017 sample model using the default settings. As you can see the model will be just as good as what your original gbXML file from Revit is.
What can be improved?
Well, there are several items that can be improved and they are mostly not on us. To get it started I add what I think are the 3 main shortcomings and my thoughts on how they can be addressed in the future. Feel free to add what you think needs to be added to this list in the comments section.
1. Revit analytical models and as the results gbXML files, by design, are not intended to be clean. Watch this presentation from the Autodesk University to see the logic behind this approach which in short is it doesn't matter for a large scale early stage energy model. Well, This will be quite a problem for studies that you can do with Honeybee. Included but not limited to daylight and comfort analysis.
The best solution that I can think of, until Autodesk fixes their exporter, is to use Revit Rooms and Spaces and generate a clean model from the scratch. We have already tried this approach in Revit but since the Revit API doesn't provide access to Room openings we had a very hard time to get it to work.
That's why that I opened an idea on Revit ideas to get over this issue. With your support we already have 81 votes, but it hasn't been enough to make them to consider the idea for an official review. If you haven't voted already and you think this will be a helpful feature take a moment and vote so we can have it implemented at some point in the future.
2. There is no way (that I know) to export only part of the model. The way export gbXML is set up in Revit is to export the whole model once together. As a result, if you have a huge model with 100 rooms and you want to get one of the rooms into Honeybee using this component you have to export the whole model, which can take some time, and then import them all back into Grasshopper. To partially address this issue I added an input to the component that allows you input a list of names for rooms that you're interested to be loaded into Grasshopper. You can use the name of the room/space in Revit as an input for the component.
3. The component doesn't import adjacencies, loads, schedules and HVAC systems. I wasn't able to export a gbXML file from Revit with any of this data except for the adjacency, but even if you can do that, the component currently can only import geometries and constructions. I hope we get access to 1 and so we don't have to use the xml file approach at all, but if that takes a very long time then we will add these features to the component.
Happy 2017!
Mostapha…
,with OpenfoamV1612+ in Windows 10 64bit.The blockmesh worked good.And the snappyhexmesh crashed in the process.My computer memory is not enough? Or some settings wrong?Could you help me solve this question?/---------------------------------------------------------------------------| ========= | || \ / F ield | OpenFOAM: The Open Source CFD Toolbox || \ / O peration | Version: v1612+ || \ / A nd | Web: www.OpenFOAM.com || \/ M anipulation | |*---------------------------------------------------------------------------*/Build : v1612+Exec : snappyHexMeshDate : Aug 27 2017Time : 09:39:54Host : "default"PID : 13443Case : /home/ofuser/workingDir/butterfly/outdoor_airflownProcs : 1sigFpe : Enabling floating point exception trapping (FOAM_SIGFPE).fileModificationChecking : Monitoring run-time modified files using timeStampMaster (fileModificationSkew 10)allowSystemOperations : Allowing user-supplied system call operations
// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * //Create time
Create mesh for time = 0
Read mesh in = 2.14 s
Overall mesh bounding box : (-241.5472 -241.4418 0) (496.4376 536.2438 144.8633)Relative tolerance : 1e-06Absolute matching distance : 0.001081851
Reading refinement surfaces.Read refinement surfaces in = 0.01 s
Reading refinement shells.Refinement level 3 for all cells inside around_buildings_area.stlRead refinement shells in = 0 s
Setting refinement level of surface to be consistent with shells.For geometry outdoor_airflow.stl detected 0 uncached triangles out of 120Checked shell refinement in = 0 s
Reading features.Read features in = 0 s
Determining initial surface intersections
Edge intersection testing:Number of edges : 1684728Number of edges to retest : 1684728Number of intersected edges : 5583Calculated surface intersections in = 1.68 s
Initial mesh : cells:554112 faces:1684728 points:576779Cells per refinement level:0 554112
Adding patches for surface regions
Patch Type Region
outdoor_airflow:
6 wall buildings
Added patches in = 0.03 s
Edge intersection testing:Number of edges : 1684728Number of edges to retest : 0Number of intersected edges : 5583Selecting decompositionMethod none
Refinement phase
Found point (127.4452 147.401 72.43167) in cell 402042 on processor 0
Surface refinement iteration 0
Marked for refinement due to surface intersection : 8820 cells.Determined cells to refine in = 3.87 sSelected for refinement : 8820 cells (out of 554112)Edge intersection testing:Number of edges : 1883850Number of edges to retest : 250376Number of intersected edges : 21198Refined mesh in = 1.77 sAfter refinement surface refinement iteration 0 : cells:615852 faces:1883850 points:652499Cells per refinement level:0 5452921 70560
Surface refinement iteration 1
Marked for refinement due to surface intersection : 38502 cells.Determined cells to refine in = 0.04 sSelected for refinement : 40392 cells (out of 615852)Edge intersection testing:Number of edges : 2787132Number of edges to retest : 1118049Number of intersected edges : 85655Refined mesh in = 3.17 sAfter refinement surface refinement iteration 1 : cells:898596 faces:2787132 points:990317Cells per refinement level:0 5432351 486812 306680
Surface refinement iteration 2
Marked for refinement due to surface intersection : 159213 cells.Determined cells to refine in = 0.1 sSelected for refinement : 168471 cells (out of 898596)Edge intersection testing:Number of edges : 6576117Number of edges to retest : 4737635Rhino Model and GH files is in t'he zip file.Please help me solve this question!~~…
y using the Honeybee_Update Honeybee component.
The video below (best viewed in full-screen mode) provides an idea of what these components are capable of being used for:
The video below shows how these components can be used in an existing Honeybee project (for additional links please open this video in youtube):
I have uploaded two examples as Hydra files that show how these components can be used for grid-point and image-based simulations:
Example1 : Grid Point Calculations
Example2: Image based simulation
Finally, a more esoteric application is demonstrated in this video:
These components are still in the beta-testing stage. Some of the limitations of the components are:
1. Only Type C photometry IES files are supported at present.
2. Rhino is likely to get sluggish if there are too many luminaires (i.e. light fixtures) present in a scene.
3. Due to the spectral limitations of the ray-tracing software (RADIANCE), simulations involving color mixing might not be physically realizable.
Additional details about photometric and spectral calculations are probably an overkill for this forum. However, I'd be glad to answer any related questions. Please report any bugs or request new features either on this forum or on Github.
Mostapha, Leland Curtis, Reinhardt Swart and Dr. Richard Mistrick provided valuable inputs during the development of these components.
Thanks,
Sarith
Update 16th January 2017:
An example with some new components and bug fixes since the initial release announcement can be found here
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