e a critical environment for speculation on the possible transformations of the contemporary human body.
The workshop focuses on the research of geometrical explorations, aesthetic behavior of generative patterns and material performance through medium between computational design, digital fabrication and traditional sartorial techniques in haute couture fashion.
By integrating Design, Fashion and Architecture, the relationship between digital patterns and the human body will be crucial in order to adopt a contemporary language and translate it to a design that is both functional and physically appealing.
In Biology, tissues are organizations of similar cells that are composed of organs and living organisms. Due to the specific qualities of singles cells, some peculiar functions of the tissue emerge; conditioning its effectiveness and determining its’ contribution to the life of the organism. The same biological principles can be applied to any design: when the designer explores these particular parametric strategies, it is important to work with a tool that provides efficient feedback and allows one to easily introduce a wide range of variations leading to significant qualities for a design evolutionary process.
The workshop aims to produce full human scale 1:1 prototype wearable garments, in which will be exhibited during Milan Design Week in April 2017 at SBODIO32 Exhibition.
Dates: 18th April - 23rd March 2017 Tutors and Professors: ALESSANDRO ZOMPARELLI Designer and co-founder of MHOX STUDIO 3D Modelling for Product Design Professor at Academy of Fine Arts in Bologna Member of Co-de-iT Developer of Tissue, plugin for computational design in Blender FRANCESCO ANTICI Fashion Designer and Director of ARCHilista ALESSANDRO TURCI Professor of Fashion Publishing at Brera Academy and IED Milano. Director of Risekult Association. CLAUDIO LARCHER Course Leader of Design Bachelor at NABA Academy
more on http://www.sbodio32.com/emerging-skins…
Added by Amrvitaloni at 9:30am on February 25, 2017
R_HOST=tcp://192.168.99.100:2376&SET DOCKER_CERT_PATH=C:\Users\akiwya\.docker\machine\machines\default&SET DOCKER_MACHINE_NAME=default&docker exec -i 4c9bb2f7444b pgrep snappyHexMesh SET DOCKER_TLS_VERIFY=1&SET DOCKER_HOST=tcp://192.168.99.100:2376&SET DOCKER_CERT_PATH=C:\Users\akiwya\.docker\machine\machines\default&SET DOCKER_MACHINE_NAME=default&docker exec -i 4c9bb2f7444b pgrep snappyHexMesh SET DOCKER_TLS_VERIFY=1&SET DOCKER_HOST=tcp://192.168.99.100:2376&SET DOCKER_CERT_PATH=C:\Users\akiwya\.docker\machine\machines\default&SET DOCKER_MACHINE_NAME=default&docker exec -i 4c9bb2f7444b pgrep snappyHexMesh SET DOCKER_TLS_VERIFY=1&SET DOCKER_HOST=tcp://192.168.99.100:2376&SET DOCKER_CERT_PATH=C:\Users\akiwya\.docker\machine\machines\default&SET DOCKER_MACHINE_NAME=default&docker exec -i 4c9bb2f7444b pgrep snappyHexMesh SET DOCKER_TLS_VERIFY=1&SET DOCKER_HOST=tcp://192.168.99.100:2376&SET DOCKER_CERT_PATH=C:\Users\akiwya\.docker\machine\machines\default&SET DOCKER_MACHINE_NAME=default&docker exec -i 4c9bb2f7444b pgrep snappyHexMesh SET DOCKER_TLS_VERIFY=1&SET DOCKER_HOST=tcp://192.168.99.100:2376&SET DOCKER_CERT_PATH=C:\Users\akiwya\.docker\machine\machines\default&SET DOCKER_MACHINE_NAME=default&docker exec -i 4c9bb2f7444b pgrep snappyHexMesh Butterfly is running blockMesh. PID: 1837 SET DOCKER_TLS_VERIFY=1&SET DOCKER_HOST=tcp://192.168.99.100:2376&SET DOCKER_CERT_PATH=C:\Users\akiwya\.docker\machine\machines\default&SET DOCKER_MACHINE_NAME=default&docker exec -i 4c9bb2f7444b pgrep snappyHexMesh
/*---------------------------------------------------------------------------*\ | ========= | | | \\ / F ield | OpenFOAM: The Open Source CFD Toolbox | | \\ / O peration | Version: v1612+ | | \\ / A nd | Web: www.OpenFOAM.com | | \\/ M anipulation | | \*---------------------------------------------------------------------------*/ Build : v1612+ Exec : blockMesh Date : May 22 2017 Time : 08:51:50 Host : "default" PID : 1837 Case : /home/ofuser/workingDir/butterfly/outdoor_airflow nProcs : 1 sigFpe : 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
Creating block mesh from "/home/ofuser/workingDir/butterfly/outdoor_airflow/system/blockMeshDict" Creating block edges No non-planar block faces defined Creating topology blocks Creating topology patches
Creating block mesh topology
Check topology
Basic statistics Number of internal faces : 0 Number of boundary faces : 6 Number of defined boundary faces : 6 Number of undefined boundary faces : 0 Checking patch -> block consistency
Creating block offsets Creating merge list .
Creating polyMesh from blockMesh Creating patches Creating cells new cannot satisfy memory request. This does not necessarily mean you have run out of virtual memory. It could be due to a stack violation caused by e.g. bad use of pointers or an out of date shared library Runtime error (PythonException):
Butterfly failed to run OpenFOAM command! new cannot satisfy memory request. This does not necessarily mean you have run out of virtual memory. It could be due to a stack violation caused by e.g. bad use of pointers or an out of date shared library Traceback: line 51, in script
I don't really have any knowledge in CFD simulation and only watched the tutorials and managed to get the sample files to work. So this time, I replaced the starting geometry my building which is a curve building, I wonder if that is the issue that caused this problem. Can anyone enlighten me on the issue?
Warm regards,
Annie…
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
…
n get the correct results with cooling loads:
3. After I update LB+HB, a warning is given for the set EP construction component:
4. so I replaced it with the latest one (Feb 05, 2017):
5. Now the cooling loads is missing from the result for reason unknown ...
May I ask if the missing cooling loads is related to the latest update of LB+HB? What component update is causing this problem?
BTW, I'm using Singapore's epw file, and for a tropical city, there should be no heating energy at all. So, sth clearly is wrong over here ...
Thanks.
…
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
…
dologies and large-scale prototyping techniques from previous years, while bringing together a range of experts from internationally acclaimed academic institutions and practices, Architectural Association, Zaha Hadid Architects, among others.
AA Istanbul Visiting School will investigate the inherent associations between form, material, and structure through the rigorous implementation of innovative design and fabrication techniques. Computational methods for design, analysis, and fabrication will be coupled with physical experimentation. The key objective of AA Istanbul Visiting School will comprise the design and fabrication of a one-to-one scale prototype realized by the use of robotic fabrication techniques.
The programme will be formulated as a two-phase process:
Stage 1: Participants will gain an insight of material processes, computational methods, and various fabrication techniques, culminating with core concepts related to complexity in design practices. During this stage, basic and advanced tutorials on generative design algorithms and analysis tools will be provided.
Stage 2: Participants will propose design interventions based on the skills and knowledge gained during the first stage. Study models of various scales will be produced, finally followed by the robotic fabrication and assembly of a full scale working prototype which unifies the design goals of the programme.
The design agendas of AA Athens and AA Istanbul Visiting Schools will directly create feedback on one another, allowing participation in either one or both Programmes.
Prominent features of the programme / skills developed:
Participants will be part of an active learning environment where the large tutor to student ratio (4:1) allows for personalized tutorials and debates.
The toolset of AA Istanbul includes but is not limited to Rhinoceros and Grasshopper, as well as analysis software.
Participants will have access to advanced digital fabrication tools.
Robotic design and fabrication processes will formulate the physical prototyping phase of the programme.
Eligibility
The workshop is open to current architecture and design students, PhD candidates and young professionals. Prior software knowledge is not required.
Accreditation
Participants receive the AA Visiting School Certificate with the completion of the Programme.
Applications
The AA Visiting School requires a fee of £600 per participant, which includes a £60 Visiting Membership fee. Discount options for groups or for those wishing to apply for both AA Istanbul and AA Athens Visiting Schools are available. Please contact the AA Visiting School Coordinator for more details.
The deadline for applications is 14 June 2017. No portfolio or CV, only requirement is the online application form and fees.
For more information, please visit:
http://www.aaschool.ac.uk/STUDY/VISITING/istanbul
http://ai.aaschool.ac.uk/istanbul/
For inquiries, please contact:
elif.erdine@aaschool.ac.uk…
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)…
,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!~~…