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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	caadria2018_033
id	caadria2018_033
authors	Bai, Nan and Huang, Weixin
year	2018
title	Quantitative Analysis on Architects Using Culturomics - Pattern Study of Prizker Winners Based on Google N-gram Data
doi	https://doi.org/10.52842/conf.caadria.2018.2.257
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 257-266
summary	Quantitative studies using the corpus Google Ngram, namely Culturomics, have been analyzing the implicit patterns of culture changes. Being the top-standard prize in the field of Architecture since 1979, the Pritzker Prize has been increasingly diversified in the recent years. This study intends to reveal the implicit pattern of Pritzker Winners using the method of Culturomics, based on the corpus of Google Ngram to reveal the relationship of the sign of their fame and the fact of prize-winning. 48 architects including 32 awarded and 16 promising are analyzed in the printed corpus of English language between 1900 and 2008. Multiple regression models and multiple imputation methods are used during the data processing. Self-Organizing Map is used to define clusters among the awarded and promising architects. Six main clusters are detected, forming a 3×2 network of fame patterns. Most promising architects can be told from the clustering, according to their similarity to the more typical prize winners. The method of Culturomics could expand the sight of architecture study, giving more possibilities to reveal the implicit patterns of the existing empirical world.
keywords	Culturomics; Google Ngram; Pritzker Prize; Fame Pattern; Self-Organizing Map
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2018_293
id	caadria2018_293
authors	Lee, Jisun and Lee, Hyunsoo
year	2018
title	The Visible and Invisible Network of a Self-Organizing Town - Agent-Based Simulation for Investigating Urban Development Process
doi	https://doi.org/10.52842/conf.caadria.2018.2.411
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 411-420
summary	This study applies self-organization as a methodology to understand the complex process of city networks caused by interactions between spatial structures and individual behaviors. The agent-based simulations have been conducted to investigate the visible and invisible networks understanding the self-organized aspects of city development processes. To develop optimal future networks providing connectivity and accessibility this study investigates spatial network configurations from internal individual behavior and movement. As results, it was found that the spatial configurations of the agent movement trails match to the current district boundaries and the similar network patterns were seen in various control values of agent behavior settings. This study contributes to searching out the hierarchy of network structures which is an important factor for re-planning of the way system.
keywords	Agent-based simulation; network analysis ; self organization ; urban development process ; Physarum polycephalum
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia18_108
id	acadia18_108
authors	Sanchez, Jose
year	2018
title	Platforms for Architecture: Imperatives and Opportunities of Designing Online Networks for Design
doi	https://doi.org/10.52842/conf.acadia.2018.108
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 108-117
summary	The rise of platforms such as Facebook, YouTube, and Uber, initially celebrated as part of a disruptive new era of the internet, has slowly been reassessed as a problematic and unregulated form of twenty-first-century info-capitalism that contributes to inequality, mistrust, and user polarization. The internet has become a place for content creation, not only consumption, and the content freely created by the network of users has defined a self-organizing system of ad-hoc audiences following echo chambers organized through artificial intelligence, which amplifies previously identified trends. While a large portion of the content created by users seems to be aimed at personal forms of entertainment, a few remarkable projects, such as Wikipedia, have allowed hundreds of users to contribute to a collective goal. While we can observe that the platform model has appeared in diverse disciplines, allowing the creation of content from news articles to music, we have not seen the emergence of a robust design platform intended to proliferate and advance the discipline of architecture. This paper makes the case that video game technology and its audiences have reached a state of technical capability that could allow for architectural platforms to emerge, one in which players could learn, create, and share architectural designs. Such a platform comes with a series of ethical imperatives, questions of value proposition, and liabilities, as well as a high potential to communicate and proliferate architectural knowledge and know-how. Common’hood, currently under development, will be used as a case study to engage the development of an ethical architectural platform that develops a proposition towards authorship, ownership, and collective engagement.
keywords	full paper, platforms, capitalism, network, video game, combinatorics, information theory, entropy, co-ops, platform cooperativism, privacy, encryption
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	acadia20_340
id	acadia20_340
authors	Soana, Valentina; Stedman, Harvey; Darekar, Durgesh; M. Pawar, Vijay; Stuart-Smith, Robert
year	2020
title	ELAbot
doi	https://doi.org/10.52842/conf.acadia.2020.1.340
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 340-349.
summary	This paper presents the design, control system, and elastic behavior of ELAbot: a robotic bending active textile hybrid (BATH) structure that can self-form and transform. In BATH structures, equilibrium emerges from interaction between tensile (form active) and elastically bent (bending active) elements (Ahlquist and Menges 2013; Lienhard et al. 2012). The integration of a BATH structure with a robotic actuation system that controls global deformations enables the structure to self-deploy and achieve multiple three-dimensional states. Continuous elastic material actuation is embedded within an adaptive cyber-physical network, creating a novel robotic architectural system capable of behaving autonomously. State-of-the-art BATH research demonstrates their structural efficiency, aesthetic qualities, and potential for use in innovative architectural structures (Suzuki and Knippers 2018). Due to the lack of appropriate motor-control strategies that exert dynamic loading deformations safely over time, research in this field has focused predominantly on static structures. Given the complexity of controlling the material behavior of nonlinear kinetic elastic systems at an architectural scale, this research focuses on the development of a cyber-physical design framework where physical elastic behavior is integrated into a computational design process, allowing the control of large deformations. This enables the system to respond to conditions that could be difficult to predict in advance and to adapt to multiple circumstances. Within this framework, control values are computed through continuous negotiation between exteroceptive and interoceptive information, and user/designer interaction.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2018_389
id	ecaade2018_389
authors	Algeciras-Rodriguez, Jose
year	2018
title	Stochastic Hybrids - From references to design options through Self-Organizing Maps methodology.
doi	https://doi.org/10.52842/conf.ecaade.2018.1.119
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 119-128
summary	This ongoing research aims to define a general assisted design method to offer non-trivial design options, where form is produced by merging characteristics from initial reference samples collection that serves as an input set. This project explores design processes laying on the use of non-linear procedures and experiments with Self-Organizing Map (SOM), as neural networks algorithms, to generate geometries. All processes are applied to a set of models representing classic sculpture, whose characteristics are encoded by the SOM process. The result of it is a set of new geometry resembling characteristics from the original references. This method produces hybrid forms that acquire characteristics from several input references. The resulting hybrid entities are intended to be non-trivial solutions to specific design situations, so far, at the stage of this research, mainly formal requirements.
keywords	Self-Orgnizing Maps; Cognitive Space; Design Options; Form Finding; Artificial Intelligence
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ijac201816406
id	ijac201816406
authors	As, Imdat; Siddharth Pal and Prithwish Basu
year	2018
title	Artificial intelligence in architecture: Generating conceptual design via deep learning
source	International Journal of Architectural Computing vol. 16 - no. 4, 306-327
summary	Artificial intelligence, and in particular machine learning, is a fast-emerging field. Research on artificial intelligence focuses mainly on image-, text- and voice-based applications, leading to breakthrough developments in self-driving cars, voice recognition algorithms and recommendation systems. In this article, we present the research of an alternative graph- based machine learning system that deals with three-dimensional space, which is more structured and combinatorial than images, text or voice. Specifically, we present a function-driven deep learning approach to generate conceptual design. We trained and used deep neural networks to evaluate existing designs encoded as graphs, extract significant building blocks as subgraphs and merge them into new compositions. Finally, we explored the application of generative adversarial networks to generate entirely new and unique designs.
keywords	Architectural design, conceptual design, deep learning, artificial intelligence, generative design
series	journal
email
last changed	2019/08/07 14:04

_id	acadia23_v1_196
id	acadia23_v1_196
authors	Bao, Ding Wen; Yan, Xin; Min Xie, Yi
year	2023
title	Intelligent Form
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 196-201.
summary	InterLoop employs previously developed workflows that enable multi-planar robotic bending of metal tubes with high accuracy and repeatability (Huang and Spaw 2022). The scale and complexity is managed by employing augmented reality (AR) technology in two capacities, fabrication and assembly (Jahn et al. 2018; Jahn, Newnham, and Berg 2022). The AR display overlays part numbers, bending sequences, expected geometry, and robot movements in real time as the robot fabrication is occurring. For assembly purposes, part numbers, centerlines, and their expected positional relationships are projected via quick response (QR) codes spatially tracked by the Microsoft Hololens 2 (Microsoft 2019). This is crucial due to the length and self-similarity of complex multi-planar parts that make them difficult to distinguish and orient correctly. Leveraging augmented reality technology and robotic fabrication uncovers a novel material expression in tubular structures with bundles, knots, and interweaving (Figure 1).
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	acadia18_366
id	acadia18_366
authors	Baseta, Efilena; Bollinger, Klaus
year	2018
title	Construction System for Reversible Self-Formation of Grid Shells. Correspondence between physical and digital form
doi	https://doi.org/10.52842/conf.acadia.2018.366
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 366-375
summary	This paper presents a construction system which offers an efficient materialization method for double-curved gridshells. This results in an active-bending system of controlled deflections. The latter system embeds its construction manual into the geometry of its components. Thus it can be used as a self-formation process. The two presented gridshell structures are composed of geometry-induced, variable stiffness elements. The latter elements are able to form programmed shapes passively when gravitational loads are applied. Each element consists of two layers and a slip zone between them. The slip allows the element to be flexible when it is straight and increasingly stiffer while its curvature increases. The amplitude of the slip defines the final deformation of the element. As a result, non-uniform deformations can be obtained with uniform cross sections and loads. When the latter elements are used in grid configurations, self-formation of initially planar surfaces emerges. The presented system eliminates the need for electromechanical equipment since it relies on material properties and hierarchical geometrical configurations. Wood, as a flexible and strong material, has been used for the construction of the prototypes. The fabrication of the timber laths has been done via CNC industrial milling processes. The comparison between the initial digital design and the resulting geometry of the physical prototypes is reviewed in this paper. The aim is to inform the design and fabrication process with performance data extracted from the prototypes. Finally, the scalability of the system shows its potential for large-scale applications, such as transformable structures.
keywords	full paper, material & adaptive systems, flexible structures, digital fabrication, self-formation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	ecaade2018_164
id	ecaade2018_164
authors	Chang, Mei-Chih, Buš, Peter, Tartar, Ayça, Chirkin, Artem and Schmitt, Gerhard
year	2018
title	Big-Data Informed Citizen Participatory Urban Identity Design
doi	https://doi.org/10.52842/conf.ecaade.2018.2.669
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. 669-678
summary	The identity of an urban environment is important because it contributes to self-identity, a sense of community, and a sense of place. However, under present-day conditions, the identities of expanding cities are rapidly deteriorating and vanishing, especially in the case of Asian cities. Therefore, cities need to build their urban identity, which includes the past and points to the future. At the same time, cities need to add new features to improve their livability, sustainability, and resilience. In this paper, using data mining technologies for various types of geo-referenced big data and combine them with the space syntax analysis for observing and learning about the socioeconomic behavior and the quality of space. The observed and learned features are identified as the urban identity. The numeric features obtained from data mining are transformed into catalogued levels for designers to understand, which will allow them to propose proper designs that will complement or improve the local traditional features. A workshop in Taiwan, which focuses on a traditional area, demonstrates the result of the proposed methodology and how to transform a traditional area into a livable area. At the same time, we introduce a website platform, Quick Urban Analysis Kit (qua-kit), as a tool for citizens to participate in designs. After the workshop, citizens can view, comment, and vote on different design proposals to provide city authorities and stakeholders with their ideas in a more convenient and responsive way. Therefore, the citizens may deliver their opinions, knowledge, and suggestions for improvements to the investigated neighborhood from their own design perspective.
keywords	Urban identity; unsupervised machine learning; Principal Component Analysis (PCA); citizen participated design; space syntax
series	eCAADe
email
last changed	2022/06/07 07:56

_id	acadia18_286
id	acadia18_286
authors	Claire Im, Hyeonji; AlOthman, Sulaiman; García del Castillo, Jose Luis
year	2018
title	Responsive Spatial Print. Clay 3D printing of spatial lattices using real-time model recalibration
doi	https://doi.org/10.52842/conf.acadia.2018.286
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 286-293
summary	Additive manufacturing processes are typically based on a horizontal discretization of solid geometry and layered deposition of materials, the speed and the rate of which are constant and determined by the stability criteria. New methods are being developed to enable three-dimensional printing of complex self-supporting lattices, expanding the range of possible outcomes in additive manufacturing. However, these processes introduce an increased degree of formal and material uncertainty, which require the development of solutions specific to each medium. This paper describes a development to the 3D printing methodology for clay, incorporating a closed-loop feedback system of material surveying and self-correction to recompute new depositions based on scanned local deviations from the digital model. This Responsive Spatial Print (RSP) method provides several improvements over the Spatial Print Trajectory (SPT) methodology for clay 3D printing of spatial lattices previously developed by the authors. This process compensates for the uncertain material behavior of clay due to its viscosity, malleability, and deflection through constant model recalibration, and it increases the predictability and the possible scale of spatial 3D prints through real-time material-informed toolpath generation. The RSP methodology and early successful results are presented along with new challenges to be addressed due to the increased scale of the possible outcomes.
keywords	work in progress, closed loop system, spatial clay printing, self-supporting lattice, in-situ printking, extrusion rate, material behavior
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	ecaade2018_433
id	ecaade2018_433
authors	Daher, Elie, Kubicki, Sylvain and Pak, Burak
year	2018
title	Participation-based Parametric Design in Early Stages - A participative design process for spatial planning in office building
doi	https://doi.org/10.52842/conf.ecaade.2018.1.429
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 429-438
summary	The term participation has been used to define different activities, such as civil debate, communication, consultation, delegation, self-help construction, political decisions. However, participation in design started from the idea that individuals whom being affected by a design project must contribute to the design process. Recently, designers have been moving closer to the future users and developing new ways to empower them to get involved in the design process. In this paper we rethink the way the early design process is developed in a participatory approach thanks to parametric methods. A use case is proposed showing the potential of parametric design methods to empower the participation of users in the design of their facilities. The use case is dealing in particular with the spatial planning of an office building where the users together with the spatial planning team are able to design the layout spatial configuration by 1) fixing the objectives, 2) manipulating the model, 3)modifying some parameters, 4) visualizing the iterations and evaluating in a real-time each solution in an interactive 3D environment and together with facility managers 5) choosing the configuration of the spatial layout.
keywords	Computational design; Participatory design; Optimization ; Parametric design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_344
id	ecaade2018_344
authors	El-Gewely, Noor, Wong, Christopher, Tayefi, Lili, Markopoulou, Areti, Chronis, Angelos and Dubor, Alexandre
year	2018
title	Programming Material Intelligence Using Food Waste Deposition to Trigger Automatic Three-Dimensional Formation Response in Bioplastics
doi	https://doi.org/10.52842/conf.ecaade.2018.2.271
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. 271-278
summary	Bioplastics are by their very nature parametric materials, programmable through the selection of constituent components and the ratios in which they appear, and as such present significant potential as architectural building materials for reasons beyond sustainability and biodegradability. This paper presents a system through which rigid three-dimensional doubly curved hyperbolic paraboloid shapes are automatically formed from two-dimensional sheet casts by harnessing the inherent flexibility and expressiveness of bioplastics. The system uses a gelatin-based bioplastic supplemented with granular organic matter from food waste in conjunction with a split-frame casting system that enables the self-formation of three-dimensional geometries by directing the force of the bioplastic's uniform contraction as it dries. By adjusting the food waste added to the bioplastic, its properties can be tuned according to formal and performative needs; here, dehydrated granulated orange peel and dehydrated spent espresso-ground coffee are used both to impart their inherent characteristics and also to influence the degree of curvature of the resulting bioplastic surfaces. Multi-material casts incorporating both orange peel bioplastic and coffee grounds bioplastic are shown to exert a greater influence over the degree of curvature than either bioplastic alone, and skeletonized panels are shown to exhibit the same behavior as their solid counterparts. Potential developments of the technology so as to gain greater control of the curvature performance, particularly in the direction of computer-controlled additive manufacturing, are considered, as is the potential of application in architectural scale.
keywords	Bioplastics; Composites; Fabrication; Materials
series	eCAADe
email
last changed	2022/06/07 07:55

_id	sigradi2018_1693
id	sigradi2018_1693
authors	Granero, Adriana Edith
year	2018
title	The Inclusion of decentralized and self-organized system in the process of construction of design thinking
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 115-122
summary	This work exposes the possible composition of a system composed of "crowd-working" of static, inert, flexible architecture elements, similar or identical entities, the "tesserae" and the integration with the link generated with Artificial Intelligence artifacts, a complex adaptive system, as a first experimental step to developments of Nanomaterials and systems that respond to the construction of the projective thought of the architectural envelope. The research responds to a general strategy of theoretical revision, with inductive and mixed methods. The exploration work examines the relative space within the idea of reason and the social function of architecture.
keywords	Self-organized; Decentralized; Nanorrobotic; Parametrism; Architectural Envelope
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	sigradi2018_1523
id	sigradi2018_1523
authors	Hernandez, Silvia Patricia; Chaves, Cristina; Ron, Lucía; Genero, Mariángeles
year	2018
title	Inmotic design proposal articulated with the policies of the municipality of the City of Córdoba, Argentina
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 1272-1278
summary	It was proposed to investigate and develop technological advances, considering the intensive presence of digital and hybrid technologies in everyday life. These technologies were used, including advances in design, applying them in useful design proposals for a specific urban space, called interstitial. The team developed a physical space for the dissemination of the twitter of the Municipal Culture Secretary of the City of Córdoba what democratizing the information so that it is available to everyone.
keywords	Urban micro-architecture; Self-service information; City Government
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia23_v1_180
id	acadia23_v1_180
authors	Huang, Lee-Su; Spaw, Gregory
year	2023
title	InterLoop
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 180-187.
summary	InterLoop employs previously developed workflows that enable multi-planar robotic bending of metal tubes with high accuracy and repeatability (Huang and Spaw 2022). The scale and complexity is managed by employing augmented reality (AR) technology in two capacities, fabrication and assembly (Jahn et al. 2018; Jahn, Newnham, and Berg 2022). The AR display overlays part numbers, bending sequences, expected geometry, and robot movements in real time as the robot fabrication is occurring. For assembly purposes, part numbers, centerlines, and their expected positional relationships are projected via quick response (QR) codes spatially tracked by the Microsoft Hololens 2 (Microsoft 2019). This is crucial due to the length and self-similarity of complex multi-planar parts that make them difficult to distinguish and orient correctly. Leveraging augmented reality technology and robotic fabrication uncovers a novel material expression in tubular structures with bundles, knots, and interweaving (Figure 1).
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	caadria2018_022
id	caadria2018_022
authors	Hymes, Connor and Klemmt, Christoph
year	2018
title	Discrete Swarm Logics
doi	https://doi.org/10.52842/conf.caadria.2018.1.133
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 133-142
summary	The logics of agent-based behaviors have found interest in architectural design for their possibility to generate self-organizing geometries. However, the resulting free-form geometries are usually complex and costly to construct as buildings. Recently architects have proposed discrete components to create a cost-effective computational designs. This research explores the possibilities of discretizing agent-based simulations to make their bottom-up behaviors and resulting geometries more easily usable for economic construction. Different types of discretization have been explored. The simulations have been evaluated as a design tool at scales from the urban to the detail. The outcomes at the larger scale provide design possibilities, but with little influence on construction costs. At the smaller scale, the geometric assemblies show good possibilities for an economic design and a feasible construction, by altering, but not compromising, the emergent self-organizing principles that guide the simulations.
keywords	discrete; swarm; agent; simulation
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2018_105
id	ecaade2018_105
authors	Kulcke, Matthias
year	2018
title	Design-Bot - Using Half-Automated Qualitative Interviews as Part of Self Communication within the Design Process
doi	https://doi.org/10.52842/conf.ecaade.2018.1.103
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 103-108
summary	In this paper the possible use of chatbots within the design context as design-bots is explored. The prototype of a design-bot called "Nuncia" is presented and used as a basis to discuss special qualities and suitable characteristics for design-bots. Its development is based on the ongoing integration of creative writing into design courses as well as a preliminary qualitative study on customer communication, conducted with entrepreneurs in the field of handcrafted design products.
keywords	chatbot; design-bot; responsive design strategies; creative writing
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaaderis2018_110
id	ecaaderis2018_110
authors	Kyprianou, Stefanos, Polyviou, Pavlos, Tsaggari, Marianna and Phocas, Marios C.
year	2018
title	Tall Tensegrities - A Parametric Deformation Control Analysis
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 87-94
keywords	The design of tall structures with high slenderness, i.e. width/height ratio, and minimum self-weight, considers in addition to aspects of modularity, constructability and connectivity of the primary members, the static and dynamic behavior of the systems. Assuming constant mass and damping ratio over the height of the building, the structure necessitates respective definition of its stiffness properties, resulting from its configuration, i.e. geometrical stiffness, and the section properties of the members applied, for achieving controlled deformations under horizontal loading. In particular, structural deformation control is traced in the current paper in simplified means through a Finite-Element Analysis of a tall tensegrity structure with overall system dimensions of 12.12/96 m, i.e. 1/7.92 slenderness, developed in three different configurations. Furthermore, a differentiated pretension of the tension-only members of one of the systems has been applied for control of its response behavior. The parametric structural analysis of the tensegrity systems verifies the significant role of the tension-only elements in the system stabilization and horizontal response.
series	eCAADe
email
last changed	2018/05/29 14:33

_id	sigradi2018_1519
id	sigradi2018_1519
authors	Lemus Villagómez, Renato Arturo; Lobato Valdespino, Juan Carlos
year	2018
title	Temporary shelter design from a digital-analog design process: Habitable emergent solution for operational resilience
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 1264-1271
summary	This work proposes an emerging habitable solution for families with children receiving attention in a public hospital, which do not include a shelter service for them. In this case of study, an informal settlement has grown for years in the surroundings of the hospital. The phenomenon is identified and analyzed, the variables activating the resilience systems and the self-organization capacities of those affected, to generate alternative solutions within an evolved vision that improve the emotional and habitability conditions of the families living in the settlement. The methodological process is composed of five stages: Diagnosis, analysis-synthesis, design determinants and design alternatives.
keywords	Shelter; Emergence; Resilient; Design, Fab-Lab
series	SIGRADI
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last changed	2021/03/28 19:58

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