Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	caadria2017_131
id	caadria2017_131
authors	Abe, U-ichi, Hotta, Kensuke, Hotta, Akito, Takami, Yosuke, Ikeda, Hikaru and Ikeda, Yasushi
year	2017
title	Digital Construction - Demonstration of Interactive Assembly Using Smart Discrete Papers with RFID and AR codes
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 75-84
doi	https://doi.org/10.52842/conf.caadria.2017.075
summary	This paper proposes and examines a new way of cooperation between human workers and machine intelligence in architectural scale construction. For the transfer of construction information between the physical and digital world, mature technologies such as Radio Frequency IDentifier (RFID), and emerging technologies like Augmented Reality (AR) are used in parallel to supplement each other. Dynamic data flow is implemented to synchronize digital and physical models by following the ID signatures of individual building parts. The contributions of this paper includes the demonstration of current technological limitations, and the proposal of a hybrid system between human and computer, which is tested in order to explore the possibilities of digitally enhanced construction methods.
keywords	Digital Construction; Augmented Reality; Human-Machine interaction
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2017_070
id	caadria2017_070
authors	Chen, Nai Chun, Xie, Jenny, Tinn, Phil, Alonso, Luis, Nagakura, Takehiko and Larson, Kent
year	2017
title	Data Mining Tourism Patterns - Call Detail Records as Complementary Tools for Urban Decision Making
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 685-694
doi	https://doi.org/10.52842/conf.caadria.2017.685
summary	In this study we show how Call Detail Record (CDR) can be used to better understand the travel patterns of visitors. We show how Origin-Destination (OD) Interactive Maps can provide transportation information through CDR. We then use aggregation of CDR to show the differences between the travel patterns of visitors from different countries and of different lengths of stay. We also show that visitors move differently during event periods and non-event periods, reflecting the importance of real-time data available by CDR. From CDR, we can gain more detailed and complete information about how tourists move compared to traditional surveys, which can be used to aid smarter transportation systems and urban resource planning.
keywords	Machine Learning; Call Detail Record; Original-Destination Matrix; Urban Design Tool
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2017_018
id	caadria2017_018
authors	Fernando, Shayani, Reinhardt, Dagmar and Weir, Simon
year	2017
title	Waterjet and Wire-cutting Workflows in Stereotomic Practice - Material Cutting of Wave Jointed Blocks
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 787-797
doi	https://doi.org/10.52842/conf.caadria.2017.787
summary	In the context of stereotomic practice, advanced fabrication with waterjet and wire-cutting of interlocking wave geometry has opened up new possibilities for crafting stone modules with precision and efficiency. This paper discusses the utilization of machined cutting techniques, the processes and workflows of fabricating joint systems for arched and vaulted surface geometries. It presents a comparative study with multiple criteria; such as geometry, method, material, machine and workflow. Furthermore, this paper presents research into the comparison between abrasive waterjet cutting and wire cutting of modules in stone and foam.
keywords	Stereotomy; Wire Cutting; WaterJet; Wave Blocks; Workflow
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2018_243
id	ecaade2018_243
authors	Gardner, Nicole
year	2018
title	Architecture-Human-Machine (re)configurations - Examining computational design in practice
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 139-148
doi	https://doi.org/10.52842/conf.ecaade.2018.2.139
summary	This paper outlines a research project that explores the participation in, and perception of, advanced technologies in architectural professional practice through a sociotechnical lens and presents empirical research findings from an online survey distributed to employees in five large-scale architectural practices in Sydney, Australia. This argues that while the computational design paradigm might be well accepted, understood, and documented in academic research contexts, the extent and ways that computational design thinking and methods are put-into-practice has to date been less explored. In engineering and construction, technology adoption studies since the mid 1990s have measured information technology (IT) use (Howard et al. 1998; Samuelson and Björk 2013). In architecture, research has also focused on quantifying IT use (Cichocka 2017), as well as the examination of specific practices such as building information modelling (BIM) (Cardoso Llach 2017; Herr and Fischer 2017; Son et al. 2015). With the notable exceptions of Daniel Cardoso Llach (2015; 2017) and Yanni Loukissas (2012), few scholars have explored advanced technologies in architectural practice from a sociotechnical perspective. This paper argues that a sociotechnical lens can net valuable insights into advanced technology engagement to inform pedagogical approaches in architectural education as well as strategies for continuing professional development.
keywords	Computational design; Sociotechnical system; Technology adoption
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2017_011
id	ecaade2017_011
authors	Haeusler, M. Hank, Asher, Rob and Booth, Lucy
year	2017
title	Urban Pinboard - Development of a platform to access open source data to optimise urban planning performance
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 439-448
doi	https://doi.org/10.52842/conf.ecaade.2017.1.439
summary	In this paper we present our research to design and develop 'Urban Pinboard', a platform to optimise urban planning process and performance. We argue that second machine age general purpose technologies can now be accessed for city modelling. Based on the observation that: GIS does offer a depository that can display urban data; data sets exist but often stored at different locations; there is a discrepancy of access to planning information; and the data often are not accessible to private / public sector and the general public on one location, Urban Pinboard aims to address these problems as an integrated digital platform that enables the public, private and community sectors to connect by contributing ideas, comments and proposals on all planning issues in a single platform. The paper outlines the background research, methodology and introduces the Urban Pinboard's features to create a single source of truth for planning data.
keywords	Software development; web-based GIS platform; Urban Planning; planning data
series	eCAADe
email
last changed	2022/06/07 07:49

_id	ecaade2017_042
id	ecaade2017_042
authors	Hitchings, Katie, Patel, Yusef and McPherson, Peter
year	2017
title	Analogue Automation - The Gateway Pavilion for Headland Sculpture on the Gulf
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 347-354
doi	https://doi.org/10.52842/conf.ecaade.2017.2.347
summary	The Waiheke Gateway Pavilion, designed by Stevens Lawson Architects originally for the 2010 New Zealand Venice Biennale Pavilion, was brought to fruition for the 2017 Headland Sculpture on the Gulf Sculpture trail by students from Unitec Institute of Technology. The cross disciplinary team comprised of students from architecture and construction disciplines working in conjunction with a team of industry professionals including architects, engineers, construction managers, project managers, and lecturers to bring the designed structure, an irregular spiral shape, to completion. The structure is made up of 261 unique glulam beams, to be digitally cut using computer numerical control (CNC) process. However, due to a malfunction with the institutions in-house CNC machine, an alternative hand-cut workflow approach had to be pursued requiring integration of both digital and analogue construction methods. The digitally encoded data was extracted and transferred into shop drawings and assembly diagrams for the fabrication and construction stages of design. Accessibility to the original 3D modelling software was always needed during the construction stages to provide clarity to the copious amounts of information that was transferred into print paper form. Although this design to fabrication project was challenging, the outcome was received as a triumph amongst the architecture community.
keywords	Digital fabrication; workflow; rapid prototyping; representation; pedagogy
series	eCAADe
email
last changed	2022/06/07 07:50

_id	acadia17_284
id	acadia17_284
authors	Hu, Zhengrong; Park, Ju Hong
year	2017
title	HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 284-291
doi	https://doi.org/10.52842/conf.acadia.2017.284
summary	Post-Occupancy Evaluation (POE) as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling (BIM) and multi-agent modeling. This research is based on two premises: 1) that the proliferation of Bluetooth Low Energy (BLE) technology allows us to collect a building user’s data cost-effectively and 2) that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers (architects, developers, engineers and facility managers etc.) to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and k-means clustering was applied to classify users into different gathering groups. Through four research procedures—Design Intention Analysis, Data Collection, Data Storage and Data Analysis—the visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords	design methods; information processing; data mining; IoT; AI; machine learning
series	ACADIA
email
last changed	2022/06/07 07:49

_id	sigradi2017_033
id	sigradi2017_033
authors	Juliani Pereira, Vinícius; Juliana Harrison Henno
year	2017
title	O Pensamento Algorítmico Associado ao Origami no Contexto de um Laboratório de Fabricação Digital [The algorithmic thinking associated with Origami at a digital fabrication laboratory context]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.231-236
summary	This article addresses an experiment carried out in the context of a digital fabrication laboratory and which purpose was to introduce basic algorithm concepts through the practice of Origami. The logical thinking associated with the area of programming is not common in the Brazilian educational institutions curriculum. This reality is noticeable in the environment of a FabLab, since it has a day dedicated to the free access and use of the community. No prerequisites are needed in order to attend the open day, enabling people to have access to numerically controlled equipments. For a conscientious use of these technologies it is important that the user have knowledge of the algorithmic logic allowing them to go beyond the basic functions inherent to each machine. The activity documented in this article intend to make the algorithmic logic accessible to a lay public insofar as the participant can identify similarities between the programming language and the development stages of the millennial technique of the paper fold.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2024_87
id	caadria2024_87
authors	Li, Jiongye and Stouffs, Rudi
year	2024
title	Distribution of Carbon Storage and Potential Strategies to Enhance Carbon Sequestration Capacity in Singapore: A Study Based on Machine Learning Simulation and Geospatial Analysis
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 89–98
doi	https://doi.org/10.52842/conf.caadria.2024.2.089
summary	The expansion of urbanization leads to significant changes in land use, consequently affecting carbon storage. This research aims to investigate the carbon loss due to land use alterations and proposes strategies for mitigation. Utilizing existing land use data from 2017 and 2022, along with simulated data for 2025 generated by an ANN model and Cellular Automata, we identified changes in land use. These changes were then correlated with variations in carbon storage, both gains and losses. Our findings reveal a significant loss of 36,859 metric tons of carbon storage from 2017 to 2022. The projection for 2025 estimates a further reduction, reaching a total loss of 83,409 metric tons. By employing the LISA method, we identified that low-carbon storage zones are concentrated in the southeast region of the research site. By overlaying these zones with areas of carbon storage loss, we pinpointed regions severely affected by carbon depletion. Consequently, we propose that mitigation strategies should be imperatively implemented in these identified areas to counteract the trend of carbon storage loss. This approach offers urban planners a solution to identify areas experiencing carbon storage decline. Moreover, our research methodology provides a novel framework for scholars studying similar carbon issues.
keywords	land use and land cover (LULC) changes, simulated LULC, machine learning model, carbon storage changes, GIS
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	ecaade2017_083
id	ecaade2017_083
authors	Markusiewicz, Jacek and Krê¿lik, Adrian
year	2017
title	Human-driven and machine-driven decisions in urban design and architecture - A comparison of two different methods in finding solutions to a complex problem
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 505-514
doi	https://doi.org/10.52842/conf.ecaade.2017.1.505
summary	The authors of the paper research the aspects of two approaches in human-computer collaboration to solve an urban scale problem: positioning a new cycling-pedestrian bridge in the city of Warsaw. The first approach is a machine-driven stochastic optimization combined with the shortest walk algorithm; the second one is a human-centered process involving an interactive table as a way of communication and data input. Both approaches were explored as part of a one-week student workshop. The article covers the undertaken techniques in detail and presents the outcomes of both studies. It concludes with a reflection on the necessity to inspire a discussion about the future of the architecture among apprentices of the profession: with all the potential threats and opportunities deriving from computer automation.
keywords	interface; TUI; optimization; PSO; generative design; programming
series	eCAADe
email
last changed	2022/06/07 07:59

_id	acadia17_426
id	acadia17_426
authors	Moorman, Andrew
year	2017
title	Pattern Making and Learning: Non-Routine Practices in Generative Design
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 426- 435
doi	https://doi.org/10.52842/conf.acadia.2017.426
summary	We now witness an upsurge in mainstream generative design tools fortified by simulation that speed up the concealed linear synthesis of optimized design alternatives. In pursuit of optimality, these tools saturate local machines or cloud servers with analysis and design iteration data, only to discard it once the procedure has concluded. Largely absent, however, are tools for an active, adaptive relationship with design exploration and the reuse of corresponding design data and metadata. In Pattern Making and Pattern Learning, we propose that these characteristics are mutually beneficial. This paper presents a series of revisions to the optimization framework for routine design synthesis that examine a potential symbiosis between the production of large datasets (big data) and non-routine practices of making in design. Our engagement with iterative design exercises is twofold: as a supply of computer-generated design information to foster user intuition and explore the design space on non-objective terms, and as a supply of human-generated design information to learn artifacts of user preference in the interest of design software personalization. These concepts are applied to the generation of functionally graded patterning in chair design, combining methods of physical production with programmable sheet material behavior through a custom interactive synthesis framework.
keywords	design methods; information processing; ai & machine learning; simulation & optimization; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	cf2017_630
id	cf2017_630
authors	Muehlbauer, Manuel; Song, Andy; Burry, Jane
year	2017
title	Towards Intelligent Control in Generative Design
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 630-647.
summary	This position paper proposes and defines the nature of a framework, which explores ways of integrating control system (CS) with machine intelligence for generative design (GD). This paper elaborates about the implications of and the potential for impact on GD. The framework described in this work can be used as an active tool to drive design processes and support decision making process in early stages of architectural design. This type of system can be either automated in nature or adaptive to regular user input as part of interactive design mechanisms. The module of CS in the framework would allow additional guidance during design and therefore reduce the need of manual input to enable a semi-automated design practice for lengthy generative processes. This study on GD reveals emergent properties of the framework, for example the introduction of intelligent control allows guidance of GD to meet specified performance criteria and intended aesthetic expressions with reduced need for user interaction.
keywords	Semi-Automated Design, Evolutionary Architecture, Generative Design, Architectural Optimisation, Artificial Intelligence
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia19_392
id	acadia19_392
authors	Steinfeld, Kyle
year	2019
title	GAN Loci
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 392-403
doi	https://doi.org/10.52842/conf.acadia.2019.392
summary	This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	ecaade2017_039
id	ecaade2017_039
authors	Weissenböck, Renate
year	2017
title	ROBOTRACK - Linking manual and robotic design processes by motion-tracking
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 651-660
doi	https://doi.org/10.52842/conf.ecaade.2017.1.651
summary	This study investigates design opportunities fostered by fabrication processes, ex-ploring manual and robotic forming. It links handcraft and digital fabrication techniques by implementing a motion capture system. It suggests physical prototyping as a novel form of design research, operating in the dynamic field between human capabilities, machine skills, and material behavior. This paper presents a series of experimental case studies created in a seminar taught by the author at Graz University of Technology. In this course, students con-duct tactile experiments, forming panels by hand and by robot, guided by the material behav-ior and reaction. Thereby, they explore the creation of architectural form in a dynamic inter-play between human, machine and material. Movement and speed of hand forming proce-dures are recorded into digital data, and then converted into machine code, driving a 6-axis industrial robotic arm. By using the same set-up for manual and robotic forming, both pro-cesses are relatable.
keywords	design by making; digital fabrication; robotic fabrication; thermoforming; material behavior; motion tracking; craft; design education; design research; intuition; human machine interaction
series	eCAADe
type	normal paper
email
last changed	2022/06/07 07:58

_id	acadia17_660
id	acadia17_660
authors	Zivkovic, Sasa; Battaglia, Christopher
year	2017
title	Open Source Factory: Democratizing Large-Scale Fabrication Systems
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 660- 669
doi	https://doi.org/10.52842/conf.acadia.2017.660
summary	Open source frameworks have enabled widespread access to desktop-scale additive manufacturing technology and software, but very few highly hackable large-scale or industrial open source equipment platforms exist. As research trajectories continue to move towards large-scale experimentation and full-scale building construction in robotic and digital fabrication, access to industrial fabrication equipment is critical. Large-scale digital fabrication equipment usually requires extensive start-up investments which becomes a prohibitive factor for open research. Expanding on the idea of the Fab Lab as well as the RepRap movement, the Open Source Factory takes advantage of disciplinary expertise and trans-disciplinary knowledge in construction machine design accumulated over the past decade. With the goal to democratize access to large-scale industrial fabrication equipment, this paper outlines the creation of two full-scale fabrication systems: a RepRap based large-scale 3-axis open source CNC gantry and a 6-axis industrial robot system based on a decommissioned KUKA KR200/2. Both machines offer radically different economic frameworks for implementing research in advanced full scale robotic fabrication into contexts of pedagogy, the research lab, practice, or small scale local building industry. This research demonstrates that such equipment can be implemented by building on the current knowledge base in the field. If industrial robots and other large-scale fabrication tools become accessible for all, the collective sharing of research and the development of new ideas in full-scale robotic building construction can be substantially accelerated.
keywords	education, society & culture; CAM; prototyping; construction/robotics; education; digital heritage
series	ACADIA
email
last changed	2022/06/07 07:57

_id	sigradi2017_024
id	sigradi2017_024
authors	Howe, Nathan; Ryan Gedney
year	2017
title	Data-driven Age \| Educating the Architects of Tomorrow [Data-driven Age \| Educating the Architects of Tomorrow]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.174-179
summary	This paper delves into the paradigm shift of architecture practice and teaching in a data-driven age. What tools are needed within the architectural environment? What type of expertise must professionals be exposed to? What type of research and analysis is necessary to provide conviction for a design? These are just a few questions introduced in this paper to create a methodology for discovering alternate ways of teaching and practicing architecture. In this exploration, an architectural firm and a graduate studio’s expertise were combined to create a framework for educating the architect of tomorrow in a data-driven age.
keywords	data-drive; parameters; technology; architecture; urban; academy; profession
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia17_298
id	acadia17_298
authors	Johnson, Jason S.; Gardner, Guy
year	2017
title	Pareidolic Formations
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 298- 307
doi	https://doi.org/10.52842/conf.acadia.2017.298
summary	The use of ornament in public space has been contested throughout history, and attitudes towards the articulation of building surfaces have shifted over time. Antoine Picon has argued that the use of ornament to communicate meaning and identity is returning to a place of cultural prominence. Well-established digital design and fabrication technologies have given rise to projects that integrate performance and aesthetics through the exploitation of form, pattern and ornament. These techniques allow the designer to inscribe and overlay data generated through performance simulation and environmental analysis, and formal relationships and fabrication processes onto materials and spatial fields, creating novel configurations and effects. Operating at a scale between object and building, public art, sculpture and architectural ornament allow for a particular type of interdisciplinary experimentation and hybrid practice. Three recent public art proposals illustrate an approach that composites multiple datasets to generate new relationships between aesthetic, environmental and functional considerations in order to activate public space. The proposals presented here put forward a set of tactics that can be deployed towards embedding overlapping data in public spaces. These proposals use pattern to form and form to pattern workflows as a way to produce multiple potential readings through pareidolia. This paper presents an investigation into how contemporary digital design and fabrication processes can bridge between performance and perception, and how ornament and pattern might be deployed for both formal and performative purposes to help foster a more personalized relationship with the urban spaces we occupy.
keywords	education, society & culture; data mining; form finding; education
series	ACADIA
email
last changed	2022/06/07 07:52

_id	caadria2017_058
id	caadria2017_058
authors	Miao, Yufan, Koenig, Reinhard, Buš, Peter, Chang, Mei-Chih, Chirkin, Artem and Treyer, Lukas
year	2017
title	Empowering Urban Design Prototyping - A Case Study in Cape Town with Interactive Computational Synthesis Methods
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 407-416
doi	https://doi.org/10.52842/conf.caadria.2017.407
summary	Although Cape Town city in South Africa is generally regarded as the most stable and prosperous city in the region, there are still approximately 7.5 million people living in informal settlements and about 2.5 million housing units are needed. This motivates the so-called Empower Shack project, aiming to develop upgrading strategies for these informal settlements. To facilitate the fulfillment of this project, urban design prototyping tools are researched and developed with the capabilities for fast urban design synthesis. In this paper we present a computational method for fast interactive synthesis of urban planning prototypes. For the generation of mock-up urban layouts, one hierarchical slicing structure, namely, the slicing tree is introduced to abstractly represent the parcels, as an extension of the existing generative method for street network. It has been proved that our methods can interactively assist the urban planning process in practice. However, the slicing tree data structure has several limitations that hinder the further improvement of the generated urban layouts. In the future, the development of a new data structure is required to fulfill urban synthesis for urban layout generation with Evolutionary Multi-objective Optimization methods and evaluation strategies should be developed to verify the generated results.
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	acadia17_404
id	acadia17_404
authors	Miller, Nathan; Stasiuk, David
year	2017
title	A Novel Mesh-Based Workflow for Complex Geometry in BIM
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 404- 413
doi	https://doi.org/10.52842/conf.acadia.2017.404
summary	Various well-established digital modeling software platforms enable architectural design teams to rapidly sculpt and iterate over complex, doubly curved, and organic geometries. However, the software platforms that are used to author such geometries are rarely the same that are used for later-stage project development and delivery. For these phases of project execution, projects of even modest complexity are managed through building information modeling (BIM) software. Yet most BIM solutions are not suitable for natively handling the design of geometrically complex forms, failing to provide lightweight, responsive, or flexible authoring interfaces. A further complication is their inability to readily import or integrate any complex geometric elements or assemblies generated elsewhere. The development of improvements to interoperability between authoring and production software therefore remains an important goal in contemporary architectural practice. This paper describes a practical methodology that then engages various Application Programming Interfaces (APIs) and open-source programming tools to address the problem of interoperability for complex geometry in BIM. Specifically, it identifies meshes as a well-positioned data structure for use within the context of preparing complex design geometry for BIM production. We describe a novel technique for the efficient interoperability of complex NURBS poly-surface objects from one authoring platform, employing design meshes that cleanly capture not just geometry, but also user and procedurally derived descriptive data elements for advanced representation and analysis within a BIM production environment.
keywords	design methods; information processing; BIM
series	ACADIA
email
last changed	2022/06/07 07:58

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