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	acadia20_708
id	acadia20_708
authors	Charbel, Hadin; López Lobato, Déborah
year	2020
title	Between Signal and Noise
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. 708-718.
doi	https://doi.org/10.52842/conf.acadia.2020.1.708
summary	Climate change continues to have noticeable and accelerated impacts on various territories. Previously predictable and recognizable patterns used by humans and nonhumans alike are perpetually being altered, turning localized signals into noise and effectively disrupting indigenous modes of life. While the use of certain technologies such as data collection, machine learning, and automation can render these otherwise patternless information streams into intelligible content, they are generally associated as being “territorializing,” as an increase in resolution generally lends itself to control, exploitation, and colonization. Contrarily, indigenous groups with long-lasting relationships that have evolved over time have distinct ways of reading and engaging with their contexts, developing sustainable practices that, while effective, are often overlooked as being compatible with contemporary tools. This paper examines how the use of traditionally territorializing technologies can be paired with indigenous knowledge and protocols in order to operate between signal and noise, rendering perverse changes in the landscape comprehensible while also presenting their applications as a facet for sociopolitical, cultural, and ecological adaptation. A methodology defined as “decoding” and “recoding” presents four distinct case studies in the Arctic, addressing various scales and targets with the aim of disrupting current trends in order to grant and/or retain autonomy through what can be read as a form of preservation via augmented adaptation.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_638
id	acadia20_638
authors	Claypool, Mollie; Jimenez Garcia, Manuel; Retsin, Gilles; Jaschke, Clara; Saey, Kevin
year	2020
title	Discrete Automation
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. 638-647.
doi	https://doi.org/10.52842/conf.acadia.2020.1.638
summary	Globally, the built environment is inequitable. And while construction automation is often heralded as the solution to labor shortages and the housing crisis, such methods tend to focus on technology, neglecting the wider socioeconomic contexts. Automated Architecture (AUAR), a spinoff of AUAR Labs at The Bartlett School of Architecture, UCL, asserts that a values-centered, decentralized approach to automation centered around local communities can begin to address this material hegemony. The paper introduces and discusses AUAR’s platform-based framework, Discrete Automation, which subverts the status quo of automation that excludes those who are already disadvantaged into an inclusive network capable of providing solutions to both the automation gap and the assembly problem. Through both the wider context of existing modular housing platforms and issues of the current use of automated technologies in architectural production, Discrete Automation is discussed through the example of Block Type A, a discrete timber building system, which in conjunction with its combinatorial app constitutes the base of a community-led housing platform developed by AUAR. Built case studies are introduced alongside a discussion of the applied methodologies and an outlook on the platform’s potential for scalability in an equitable, sustainable manner.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_178
id	acadia20_178
authors	Meeran, Ahmed; Conrad Joyce, Sam
year	2020
title	Machine Learning for Comparative Urban Planning at Scale: An Aviation Case Study
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. 178-187.
doi	https://doi.org/10.52842/conf.acadia.2020.1.178
summary	Aviation is in flux, experiencing 5.4% yearly growth over the last two decades. However, with COVID-19 aviation was hard hit. This, along with its contribution to global warming, has led to louder calls to limit its use. This situation emphasizes how urban planners and technologists could contribute to understanding and responding to this change. This paper explores a novel workflow of performing image-based machine learning (ML) on satellite images of over 1,000 world airports that were algorithmically collated using European Space Agency Sentinel2 API. From these, the top 350 United States airports were analyzed with land use parameters extracted around the airport using computer vision, which were mapped against their passenger footfall numbers. The results demonstrate a scalable approach to identify how easy and beneficial it would be for certain airports to expand or contract and how this would impact the surrounding urban environment in terms of pollution and congestion. The generic nature of this workflow makes it possible to potentially extend this method to any large infrastructure and compare and analyze specific features across a large number of images while being able to understand the same feature through time. This is critical in answering key typology-based urban design challenges at a higher level and without needing to perform on-ground studies, which could be expensive and time-consuming.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_264
id	ecaade2020_264
authors	Nicholas, Paul, Rossi, Gabriella, Papadopoulou, Iliana, Tamke, Martin, Aalund Brandt, Nikolaj and Jessen Hansen, Leif
year	2020
title	Precision Partner - Enhancing GFRC craftsmanship with industry 4.0 factory-floor feedback
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 631-640
doi	https://doi.org/10.52842/conf.ecaade.2020.2.631
summary	This paper presents a novel human-machine collaborative approach to automatic quality-control of Glass-Fiber Reinforced Concrete (GFRC) molds directly on the factory floor. The framework introduces Industry 4.0 technologies to enhance the ability of skilled craftsmen to make molds through the provision of horizontal feedback regarding dimensional tolerances. Where digital tools are seldom used in the fabrication of GFRC molds, and expert craftsmen are not digital experts, our implementation of automated registration and feedback processes enables craftsmen to be integrated into and gain value from the digital production chain. In this paper, we describe the in-progress framework, Precision Partner, which connects 3d scanning and point cloud registration of geometrically complex and varied one off elements to factory floor dimensional feedback. We firstly introduce the production context of GFRC molds, as well as industry standards for production feedback. We then detail our methods, and report the results of a case study that tests the framework on the case of a balcony element.
keywords	3d Scanning; GFRC; Feedback; Automation; Human in the loop; Digital Chain
series	eCAADe
email
last changed	2022/06/07 07:58

_id	sigradi2020_464
id	sigradi2020_464
authors	Builes Vélez, Ana Elena; Celani, Pierfrancesco
year	2020
title	Application of the Sustainable Urban Environments model based on the Smart Outdoor approach in the city of Medellín
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 464-469
summary	The quality of an urban space significantly influences the habitability of a city. In an era where buildings are becoming more and more "intelligent", outdoor space needs to evolve to make it more welcoming and to allow it to be shared and appropriate, capable of expanding opportunities and functionality for the inhabitant who lives in it. In this context the COGITO project, is exploring ways to extend the cognitive logic typical of intelligent buildings to the urban space. We propose to appropriate the model developed in COGITO and apply it in a case study of the city of Medellin.
keywords	Smart Cities, Urban Space, Sustainability, Smart Outdoor
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	ecaade2020_411
id	ecaade2020_411
authors	Muehlbauer, Manuel, Song, Andy and Burry, Jane
year	2020
title	Smart Structures - A Generative Design Framework for Aesthetic Guidance in Structural Node Design - Application of Typogenetic Design for Custom-Optimisation of Structural Nodes
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 623-632
doi	https://doi.org/10.52842/conf.ecaade.2020.1.623
summary	Virtual prototypes enable performance simulation for building components. The presented research extended the application of generative design using virtual prototypes for interactive optimisation of structural nodes. User-interactivity contributed to the geometric definition of design spaces rather than the final geometric outcome, enabling another stage of generative design for the micro-structure of the structural node. In this stage, the micro-structure inside the design space was generated using fixed topology. In contrast to common optimisation strategies, which converge towards a single optimal outcome, the presented design exploration process allowed the regular review of design solutions. User-based selection guided the evolutionary process of design space exploration applying Online Classification. Another guidance mechanism called Shape Comparison introduced an intelligent control system using an inital image input as design reference. In this way, aesthetic guidance enabled the combined evaluation of quantitative and qualitative criteria in the custom-optimisation of structural nodes. Interactive node design extended the potential for shape variation of custom-optimized structural nodes by addressing the geometric definition of design spaces for multi-scalar structural optimisation.
keywords	generative design; evolutionary computation; interactive machine learning; typogenetic design
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ijac202018405
id	ijac202018405
authors	Olga Mesa, Saurabh Mhatre and Dan Aukes
year	2020
title	CREASE: Synchronous gait by minimizing actuation through folded geometry
source	International Journal of Architectural Computing vol. 18 - no. 4, 385–403
summary	The Age of the Fourth Industrial Revolution promises the integration and synergy of disciplines to arrive at meaningful and comprehensive solutions. As computation and fabrication methods become pervasive, they present platforms for communication. Value exists in diverse disciplines bringing their approach to a common conversation, proposing demands, and potentials in response to entrenched challenges. Robotics has expanded recently as computational analysis, and digital fabrication methods are more accurate and reliable. Advances in functional microelectromechanical components have resulted in the design of new robots presenting alternatives to traditional ambulatory robots. However, most examples are the result of intense computational analysis necessitating engineering expertise and specialized manufacturing. Accessible fabrication methods like laminate techniques propose alternatives to new robot morphologies. However, most examples remain overly actuated without harnessing the full potential of folds for locomotion. Our research explores the connection between origami structures and kinematics for the generation of an ambulatory robot presenting efficient, controlled, and graceful gait with minimal use of components. Our robot ‘Crease’ achieves complex gait by harnessing kinematic origami chains rather than relying on motors. Minimal actuation activates the folds to produce variations in walk and direction. Integrating a physical iterative process with computational analysis, several prototypes were generated at different scales, including untethered ones with sensing and steering that could map their environment. Furthering the dialogue between disciplines, this research contributes not only to the field of robotics but also architectural design, where efficiency, adjustability, and ease of fabrication are critical in designing kinetic elements.
keywords	Digitals fabrication, robotics, origami, laminate construction, smart geometry, digital manufacturing and materials, smart materials
series	journal
email
last changed	2021/06/03 23:29

_id	caadria2020_154
id	caadria2020_154
authors	Stojanovic, Vladeta, Hagedorn, Benjamin, Trapp, Matthias and DÃ¶llner, JÃ¼rgen
year	2020
title	Ontology-Driven Analytics for Indoor Point Clouds
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 537-546
doi	https://doi.org/10.52842/conf.caadria.2020.2.537
summary	Automated processing, semantic enrichment and visual analytics methods for point clouds are often use-case specific for a given domain (e.g, for Facility Management (FM) applications). Currently, this means that applicable processing techniques, semantics and visual analytics methods need to be selected, generated or implemented by human domain experts, which is an error-prone, subjective and non-interoperable process. An ontology-driven analytics approach can be used to solve this problem by creating and maintaining a Knowledge Base, and utilizing an ontology for automatically suggesting optimal selection of processing and analytics techniques for point clouds. We present an approach of an ontology-driven analytics concept and system design, which supports smart representation, exploration, and processing of indoor point clouds. We present and provide an overview of high-level concept and architecture for such a system, along with related key technologies and approaches based on previously published case studies. We also describe key requirements for system components, and discuss the feasibility of their implementation within a Service-Oriented Architecture (SOA).
keywords	Knowledge Base; Point Clouds; Semantic Enrichment; Service-Oriented Architecture; Ontology
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ijac202018304
id	ijac202018304
authors	Aagaard, Anders Kruse and Niels Martin Larsen
year	2020
title	Developing a fabrication workflow for irregular sawlogs
source	International Journal of Architectural Computing vol. 18 - no. 3, 270-283
summary	In this article, we suggest using contemporary manufacturing technologies to integrate material properties with architectural design tools, revealing new possibilities for the use of wood in architecture. Through an investigative approach, material capacities and fabrication methods are explored and combined towards establishing new workflows and architectural expressions, where material, fabrication and result are closely interlinked. The experimentation revolves around discarded, crooked oak logs, doomed to be used as firewood due to their irregularity. This project treats their diverging shapes differently by offering unique processing to each log informed by its particularities. We suggest here a way to use the natural forms and properties of sawlogs to generate new structures and spatial conditions. In this article, we discuss the scope of this approach and provide an example of a workflow for handling the discrete shapes of natural sawlogs in a system that involve the collection of material, scanning/digitisation, handling of a stockpile, computer analysis, design and robotic manufacturing. The creation of this specific method comes from a combination of investigation of wood as a material, review of existing research in the field, studies of the production lines in the current wood industry and experimentation through our in-house laboratory facilities. As such, the workflow features several solutions for handling the complex and different shapes and data of natural wood logs in a highly digitised machining and fabrication environment. This up-cycling of discarded wood supply establishes a non-standard workflow that utilises non-standard material stock and leads to a critical articulation of today’s linear material economy. The project becomes part of an ambition to reach sustainable development goals and technological innovation in global and resource-intensive architecture and building industry.
keywords	Natural wood, robotic fabrication, computation, fabrication, research by design
series	journal
email
last changed	2020/11/02 13:34

_id	acadia20_516
id	acadia20_516
authors	Aghaei Meibodi, Mania; Voltl, Christopher; Craney, Ryan
year	2020
title	Additive Thermoplastic Formwork for Freeform Concrete Columns
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. 516-525.
doi	https://doi.org/10.52842/conf.acadia.2020.1.516
summary	The degree of geometric complexity a concrete element can assume is directly linked to our ability to fabricate its formwork. Additive manufacturing allows fabrication of freeform formwork and expands the design possibilities for concrete elements. In particular, fused deposition modeling (FDM) 3D printing of thermoplastic is a useful method of formwork fabrication due to the lightweight properties of the resulting formwork and the accessibility of FDM 3D printing technology. The research in this area is in early stages of development, including several existing efforts examining the 3D printing of a single material for formwork— including two medium-scale projects using PLA and PVA. However, the performance of 3D printed formwork and its geometric complexity varies, depending on the material used for 3D printing the formwork. To expand the existing research, this paper reviews the opportunities and challenges of using 3D printed thermoplastic formwork for fabricating custom concrete elements using multiple thermoplastic materials. This research cross-references and investigates PLA, PVA, PETG, and the combination of PLA-PVA as formwork material, through the design and fabrication of nonstandard structural concrete columns. The formwork was produced using robotic pellet extrusion and filament-based 3D printing. A series of case studies showcase the increased geometric freedom achievable in formwork when 3D printing with multiple materials. They investigate the potential variations in fabrication methods and their print characteristics when using different 3D printing technologies and printing materials. Additionally, the research compares speed, cost, geometric freedom, and surface resolution.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_390
id	ecaade2020_390
authors	Ahmadzadeh Bazzaz, Siamak, Fioravanti, Antonio and Coraglia, Ugo Maria
year	2020
title	Depth and Distance Perceptions within Virtual Reality Environments - A Comparison between HMDs and CAVEs in Architectural Design
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 375-382
doi	https://doi.org/10.52842/conf.ecaade.2020.1.375
summary	The Perceptions of Depth and Distance are considered as two of the most important factors in Virtual Reality Environments, as these environments inevitability impact the perception of the virtual content compared with the one of real world. Many studies on depth and distance perceptions in a virtual environment exist. Most of them were conducted using Head-Mounted Displays (HMDs) and less with large screen displays such as those of Cave Automatic Virtual Environments (CAVEs). In this paper, we make a comparison between the different aspects of perception in the architectural environment between CAVE systems and HMD. This paper clarifies the Virtual Object as an entity in a VE and also the pros and cons of using CAVEs and HMDs are explained. Eventually, just a first survey of the planned case study of the artificial port of the Trajan emperor near Fiumicino has been done as for COVID-19 an on-field experimentation could not have been performed.
keywords	Visual Perception; Depth and Distance Perception; Virtual Reality; HMD; CAVE; Trajan’s port
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2020_146
id	ecaade2020_146
authors	Andriasyan, Mesrop, Zanelli, Alessandra, Yeghikyan, Gevorg, Asher, Rob and Haeusler, Hank
year	2020
title	Algorithmic Planning and Assessment of Emergency Settlements and Refugee Camps
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 115-124
doi	https://doi.org/10.52842/conf.ecaade.2020.2.115
summary	The planning quality of refugee camps profoundly affects the people living there. Because of the short time span allotted to planners due to the state of emergency, camps are often poorly planned or not planned at all. This paper proposes tools and methods developed through computational modelling algorithms that can enhance the design procedure and provide instant feedback about the plan performance to the planner. The developed planning framework allows defining the planning guidelines which will be tested for compliance. The paper also shows case studies of analysing an existing refugee camp.
keywords	Refugee camp; shelter; generative design; UNHCR; humanitarian architecture
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2020_089
id	ecaade2020_089
authors	Ardic, Sabiha Irem, Kirdar, Gulce and Lima, Angela Barros
year	2020
title	An Exploratory Urban Analysis via Big Data Approach: Eindhoven Case - Measuring popularity based on POIs, accessibility and perceptual quality parameters
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 309-318
doi	https://doi.org/10.52842/conf.ecaade.2020.2.309
summary	The cities are equipped with the data as a result of the individuals' sharings and application usage. This significant amount of data has the potential to reveal relations and support user-centric decision making. The focus of the research is to examine the relational factors of the neighborhoods' popularity by implementing a big data approach to contribute to the problem of urban areas' degradation. This paper presents an exploratory urban analysis for Eindhoven at the neighborhood level by considering variables of popularity: density and diversity of points of interest (POI), accessibility, and perceptual qualities. The multi-sourced data are composed of geotagged photos, the location and types of POIs, travel time data, and survey data. These different datasets are evaluated using BBN (Bayesian Belief Network) to understand the relationships between the parameters. The results showed a positive and relatively high connection between popularity - population change, accessibility by walk - density of POIs, and the feeling of safety - social cohesion. For further studies, this approach can contribute to the decision-making process in urban development, specifically in real estate and tourism development decisions to evaluate the land prices or the hot-spot touristic places.
keywords	big data approach; neighborhood analysis; popularity; point of interest (POI); accessibility; perceptual quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia20_350
id	acadia20_350
authors	Atanasova, Lidia; Mitterberger, Daniela; Sandy, Timothy; Gramazio, Fabio; Kohler, Matthias; Dörfler, Kathrin
year	2020
title	Prototype As Artefact
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. 350-359.
doi	https://doi.org/10.52842/conf.acadia.2020.1.350
summary	In digital design-to-fabrication workflows in architecture, in which digitally controlled machines perform complex fabrication tasks, all design decisions are typically made before production. In such processes, the formal definition of the final shape is explicitly inscribed into the design model by means of corresponding step-by-step machine instructions. The increasing use of augmented reality (AR) technologies for digital fabrication workflows, in which people are instructed to carry out complex fabrication tasks via AR interfaces, creates an opportunity to question and adjust the level of detail and the nature of such explicit formal definitions. People’s cognitive abilities could be leveraged to integrate explicit machine intelligence with implicit human knowledge and creativity, and thus to open up digital fabrication to intuitive and spontaneous design decisions during the building process. To address this question, this paper introduces open-ended Prototype-as-Artefact fabrication workflows that examine the possibilities of designing and creative choices while building in a human-robot collaborative setting. It describes the collaborative assembly of a complex timber structure with alternating building actions by two people and a collaborative robot, interfacing via a mobile device with object tracking and AR visualization functions. The spatial timber assembly being constructed follows a predefined grammar but is not planned at the beginning of the process; it is instead designed during fabrication. Prototype-as-Artefact thus serves as a case study to probe the potential of both intuitive and rational aspects of building and to create new collaborative work processes between humans and machines.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_608
id	sigradi2020_608
authors	Costa, Eduardo; Duarte, José; Bilén, Sven G.
year	2020
title	Robotic Apprentices: Leveraging Augmented Reality for Robot Training in Manufacturing Automation
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 608-614
summary	In the scope of Industry 4.0, a framework is proposed to leverage the potential of articulating Augmented Reality and Robotic Manufacturing in the construction industry. The objective of such framework is to enable robots to learn how to perform tasks using direct interaction with human operators. As a first step, we established a connection between a robot and its trainer— or controller—in which the robot mirrors the operator’s actions. Augmented Reality hardware is used for capturing the trainer’s gestures and the surrounding environment. A digital tool was implemented using Grasshopper and additional plugins to control the process.
keywords	Augmented reality, Robotic arm, Programming by demonstration, Human–Robot Collaboration, Industry 4.0
series	SIGraDi
email
last changed	2021/07/16 11:52

_id	acadia20_604
id	acadia20_604
authors	Craney, Ryan; Adel, Arash
year	2020
title	Engrained Performance
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. 604-613.
doi	https://doi.org/10.52842/conf.acadia.2020.1.604
summary	This project presents a novel fabrication-aware and performance-driven computational design method that facilitates the design and robotic fabrication of a wood shingle facade system. The research merges computational design, robotic fabrication, and building facade optimization into a seamless digital design-to-fabrication workflow. The research encompasses the following topics: (1) a constructive system integrating the rules, constraints, and dependencies of conventional shingle facades; (2) an integrative computational design method incorporating material, robotic fabrication, and assembly constraints; (3) an optimization method for facade sun shading; and (4) a digital design-to-fabrication workflow informing the robotic fabrication procedures. The result is an integrative computational design method for the design of a wood shingle facade. Environmental analysis and multi-objective optimization are coupled with a variable facade surface to produce several optimal design solutions that conform to the constraints of the robotic setup and constructive system. When applied to architectural design, the proposed integrative computational design method demonstrates significant improvements in facade sun-shading performance while also linking the digital design to the fabrication process.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_432
id	ecaade2020_432
authors	Fragkia, Vasiliki and Worre Foged, Isak
year	2020
title	Methods for the Prediction and Specification of Functionally Graded Multi-Grain Responsive Timber Composites
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 585-594
doi	https://doi.org/10.52842/conf.ecaade.2020.2.585
summary	The paper presents design-integrated methods for high-resolution specification and prediction of functionally graded wood-based thermal responsive composites, using machine learning. The objective is the development of new circular design workflow, employing robotic fabrication, in order to predict fabrication files linked to material performance and design requirements, focused on application for intrinsic responsive and adaptive architectural surfaces. Through an experimental case study, the paper explores how machine learning can form a predictive design framework where low-resolution data can solve material systems at high resolution. The experimental computational and prototyping studies show that the presented image-based machine learning method can be adopted and adapted across various stages and scales of architectural design and fabrication. This in turn allows for a design-per-requirement approach that optimizes material distribution and promotes material economy.
keywords	material specification; responsive timber composites; machine learning; robotic fabrication; building envelopes
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaade2020_255
id	ecaade2020_255
authors	Fricker, Pia, Kotnik, Toni and Borg, Kane
year	2020
title	Computational Design Pedagogy for the Cognitive Age
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 685-692
doi	https://doi.org/10.52842/conf.ecaade.2020.1.685
summary	This paper explores and reflects on an integrative computational design thinking approach, which requires the melding of computation, design and theory as a conceptual framework, to be implemented in architectural education. Until now, digital design education is typically based on the introduction of digital tools and plugins at university courses and the subsequent application of these tools to design tasks of limited architectural complexity. At this time, technological advancement has not been matched by a comparable advancement in computational design thinking. The paper describes in detail a novel conceptual framework for course setup that illustrates the using of computational design as a manner of thinking in patterns of interaction across various scales, reaching from building design to regional planning. This approach was subsequently tested in a series of master-level studios, the results of which will be presented as case studies in this paper.
keywords	Computational Design Thinking; Architectural Pedagogy and Education; Dynamic Patterns; System Thinking
series	eCAADe
email
last changed	2022/06/07 07:50

_id	acadia20_484
id	acadia20_484
authors	Kim, Namjoo; Otitigbe, Eto; Shannon, Caroline; Smith, Brian; Seyedahmadian, Alireza; Höweler, Eric; Yoon, J. Meejin; Marshall, Durham; Durham, James
year	2020
title	Parametric Photo V-Carve for Variable Surfaces
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. 484-493.
doi	https://doi.org/10.52842/conf.acadia.2020.1.484
summary	This research project was part of the design and construction of the Memorial to Enslaved Laborers (MEL) at the University of Virginia (UVA). The MEL was dedicated to an estimated 4,000 enslaved persons who worked at UVA between 1817 and 1865. The 80-foot-diameter memorial is a tapered toroidal shape composed of 75 stone blocks. This project demonstrates how computational design tools along with robotic digital fabrication can be used to achieve unique social and experiential effects in an architectural application. The memorial’s design was informed by an extensive community engagement process that clarified the importance of including a visual representation of enslaved people on the memorial. With this input, the eyes of Isabella Gibbons were selected to be used as a symbolic representation of triumph on the outer wall of the memorial. The MEL project could not rely solely on prior methods or existing software applications to design and fabricate this portrait due to four particularities of the project: material, geometry, representation, and scale. To address these challenges, the MEL design team employed an interdisciplinary collaborative process to develop an innovative parametric design technique: parametric photo V-carve. This technique allowed the MEL design team to render a large-scale photo-realistic portrait into stone. This project demonstrates how the synthesis of artistic motivations, computational design, and robotic digital fabrication can develop unique expressions that shape personal and cultural experiences.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_501
id	ecaade2020_501
authors	La Russa, Federico Mario and Santagati, Cettina
year	2020
title	From the Cognitive to the Sentient Building - Machine Learning for the preservation of museum collections in historical architecture
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 507-516
doi	https://doi.org/10.52842/conf.ecaade.2020.2.507
summary	The aim of this paper is to evaluate the efficacy of the Digital Twin approach to achieving Sentient buildings able to develop preservation and conservation action plans from environmental data. The case study is based on the integration of an H-BIM model with an AI-based Decision Support System implementing Machine Learning techniques for conserving museum collections in historical buildings.
keywords	Digital Twin; Historical Architecture; Artificial Intelligence; Decision Support System; Museum Collections; Preventive Conservation
series	eCAADe
email
last changed	2022/06/07 07:52

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