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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Reformat results as: short short into frame detailed detailed into frame

_id	ecaade2020_498
id	ecaade2020_498
authors	Sousa, Megg and Paio, Alexandra
year	2020
title	Pattern-driven Design for Small Public Spaces - An analysis of pattern books and toolboxes
doi	https://doi.org/10.52842/conf.ecaade.2020.2.491
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. 491-498
summary	Urban spatial patterns that can enhance the city's cultural, social, environmental, material and structural performance advance beyond the old notions of design patterns by incorporating the digital design. Pattern books such as "A Pattern Language" are revisited and toolboxes /toolkits are used in contemporary urban designs by laboratories and offices. The aim of this paper is to analyze the particularities and congruencies between some systems of patterns, pattern books, toolboxes and toolkits aimed at small public spaces, also considering the context of digital culture. The methodology proposed is the construction of a taxonomy that relates and classifies these selected patterns, by these following steps: a) selecting of patterns applicable to small public spaces; b) classification of patterns by "type" (location, behavior, processes and design components) and by "driven designs" approach (data-driven design, performance-driven design, and material- driven design) and relation to the recurrences of patterns between the systems; c) making and inserting in the taxonomy platform a table of elements and connections; d) filtering by classes for analysis. From the results obtained in the visualizations, it is possible to consider a larger volume of "location" type patterns and a smaller volume in "processes" indicating a field that can be developed.
keywords	Urban patterns; urban toolbox; small public spaces; data-driven design; pattern language
series	eCAADe
email
last changed	2022/06/07 07:56

_id	sigradi2020_128
id	sigradi2020_128
authors	Sousa, Megg; Mônaco, Denise; Martínez, Andressa; Souza, Douglas
year	2020
title	The operationalization of "A Pattern Language" by using network analysis tools
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. 128-136
summary	One of the most significant public space studies, "A Pattern Language", published in 1977, is until today's background for some contemporary investigations. The aim of this paper is to propose an operationalization of the patterns' network of the book into a network analysis tool. The methodology is based on a new classification of patterns, in addition to what is initially presented in the book: "context patterns" (evidencing pre-existing conditions and potentialities) and "design patterns" (considering possibilities limited by the stakeholder at that location). The digital operationalization can enhance the analytical and predictive character of the work.
keywords	Pattern language, Network analysis tool, Christopher Alexander, Public spaces
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	acadia20_594
id	acadia20_594
authors	Farahbakhsh, Mehdi; Kalantar, Negar; Rybkowski, Zofia
year	2020
title	Impact of Robotic 3D Printing Process Parameters on Bond Strength
doi	https://doi.org/10.52842/conf.acadia.2020.1.594
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. 594-603.
summary	Additive manufacturing (AM), also known as 3D printing, offers advantages over traditional construction technologies, increasing material efficiency, fabrication precision, and speed. However, many AM projects in academia and industrial institutions do not comply with building codes. Consequently, they are not considered safe structures for public utilization and have languished as exhibition prototypes. While three discrete scales—micro, mezzo, and macro—are investigated for AM with paste in this paper, structural integrity has been tackled on the mezzo scale to investigate the impact of process parameters on the bond strength between layers in an AM process. Real-world material deposition in a robotic-assisted AM process is subject to environmental factors such as temperature, humidity, the load of upper layers, the pressure of the nozzle on printed layers, etc. Those factors add a secondary geometric characteristic to the printed objects that was missing in the initial digital model. This paper introduces a heuristic workflow for investigating the impacts of three selective process parameters on the bond strength between layers of paste in the robotic-assisted AM of large-scale structures. The workflow includes a method for adding the secondary geometrical characteristic to the initial 3D model by employing X-ray computerized tomography (CT) scanning, digital image processing, and 3D reconstruction. Ultimately, the proposed workflow offers a pattern library that can be used by an architect or artificial intelligence (AI) algorithms in automated AM processes to create robust architectural forms.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_283
id	ecaade2020_283
authors	Sebestyen, Adam and Tyc, Jakub
year	2020
title	Machine Learning Methods in Energy Simulations for Architects and Designers - The implementation of supervised machine learning in the context of the computational design process
doi	https://doi.org/10.52842/conf.ecaade.2020.1.613
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. 613-622
summary	Application of Machine Learning (ML) in the field of architecture is a worthwhile topic to discuss in the context of digital architecture. Authors propose to extend this discussion, presenting an integrated ML pipeline built with the state-of-the-art data science tools. To investigate the affordances of such pipelines, an ML model being able to predict the environmental metrics of a generalized facade system is created. This approach is valid for arbitrary facades, as long as the proposed design could be discretized in the form analogous to the data generated for the ML model training. The presented experiment evaluates the precision of the sunlight hours and radiation values predictions, aiming at the application in the early design phases. Conducted investigation builds up on the knowledge embedded in the Grasshopper and Ladybug toolsets. Potential application of Convolutional Neural Networks and categorical datasets for classifications tasks to increase the precision of the ML models have been identified. Possibility to extend the approach beyond the workspace of Rhino and Grasshopper is suggested. Further research outlook, investigating the data pattern recognition capabilities in relation to the three-dimensional forms discretized as multidimensional arrays, is stated.
keywords	Machine Learning; Environmental Analysis; Parametric Design; Supervised Learning
series	eCAADe
email
last changed	2022/06/07 08:00

_id	acadia20_198
id	acadia20_198
authors	Sinke Baranovskaya, Yuliya; Tamke, Martin; Ramsgaard Thomsen, Mette
year	2020
title	Simulation and Calibration of Graded Knitted Membranes
doi	https://doi.org/10.52842/conf.acadia.2020.2.198
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. 198-207.
summary	The grading of knit changes its geometrical performance and steers membrane expansion. However, knit possesses challenges of material predictability and digital simulation, due to its multiscalar complexity and anisotropic properties. Taking as a challenge the lack of digital solutions incorporating CNC-knit performance into the design model, this paper presents a novel approach for the design-integrated simulation of graded knit, informed by an empirical dataset analysis in combination with genetic optimization algorithms. Here the simulation design tool reflects the differences of industrially knitted textile panel behavior through digital mesh grading. Diversified fabric stiffness is achieved by intertwining the yarn into variegated stitch types that steer the textile expansion under load. These are represented digitally as zoned quad meshes with each segment assigned a stiffness value. Mesh stiffness values are optimized by minimizing the distance between the point clouds and the digital mesh, which are documented through deviation colored maps. This work concludes that design properties—pattern topology, stitch ratio, pattern density—play an important role in textile panel performance under load. Stiffness values derived from the optimization are higher for shallower designs and lower for the deeper cones.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_156
id	caadria2020_156
authors	Yan, Hainan and Ji, Guohua
year	2020
title	An Investigation on the Deviation of Microclimate Simulation Based on ENVI-met - Taking Suzhou Industrial Park as a Case Study
doi	https://doi.org/10.52842/conf.caadria.2020.1.527
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 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 527-536
summary	In this study, the applicability of ENVI-met was tested in the Suzhou Industrial Park (SIP). Eight selected parks in the core area of SIP were selected as samples for site measurement and simulation. Measurements were compared with estimated values derived from the ENVI-met model by the analysis of Root Mean Square Error (RMSE). Results showed that RMSE can properly represent simulation deviations and there was a significant positive correlation between the area of parks and relative humidity. During the daytime, the ENVI-met model overestimated air temperature and underestimated relative humidity, with no consistent simulations deviation for wind speed; During the nighttime, the simulation deviation of the ENVI-met model for the three climate parameters mentioned above did not show a consistent pattern. Consequently, this study considers that the ENVI-met model is not suitable for simulation at night time. The findings of this study will help researchers and planners recognize the limitations of the model and the accuracy of the results.
keywords	ENVI-met; Microclimate; Deviation; Suzhou Industrial Park
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2020_094
id	caadria2020_094
authors	Yang, Chunxia and Gu, Zhuoxing
year	2020
title	Optimization of Public Space Design Based on Reconstruction of Digital Multi-Agent Behavior - --Taking the public space of the North Bund in Shanghai as an example
doi	https://doi.org/10.52842/conf.caadria.2020.1.335
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 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 335-344
summary	This paper uses the digital software platform to build an intelligent multi-agent system. Through the classification of site elements, the Shanghai North Bund waterfront public space elements are classified into different systems such as transportation hub facilities, catering facilities, shopping facilities and leisure venues. The main population activities in this area are classified into different activities such as youth activities, elderly activities, and family activities through user behavior classification. Finally, the intelligent multi-agent particle swarm is built by the dynamic simulation component of grasshopper, and its individual behavior rules and group interaction rules are adjusted to form the crowd moving particle flow. The particle flow interacts with the classified site elements to derive a distribution pattern of population activity in different systems. Particle flow data information and particle distribution patterns after interactive simulation can be the support for urban design evaluation and optimization.
keywords	Self-organizing system; Multi-agent system; Particle property construction; Urban design elements; Waterfront public space
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2020_173
id	caadria2020_173
authors	Zhou, JueLun and Tong, ZiYu
year	2020
title	Spatial Characteristics Analysis of Urban Form at the Macroscale Based on Landscape Pattern Indices
doi	https://doi.org/10.52842/conf.caadria.2020.1.823
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 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 823-832
summary	Spatial characteristics are significant for urban form studies. Because quantifying the urban form at the macroscale is difficult, most of the relevant studies neglect or simplify the diversity of urban built areas. Local climate zone (LCZ) classification systems can transform macro urban form into a theme map composed of different LCZ classes, and such LCZ maps represent an effective urban form mapping technique, especially for built areas. However, this method still fails to provide a quantitative representation of the spatial characteristics. In this paper, the LCZ map is treated as a matrix composed of different patches and landscape pattern indices are applied to quantify the urban form. Taking 8 Chinese cities as case studies, the results show that 4 landscape scale indices and 4 class scale indices can effectively quantify the spatial characteristics of the urban form, including the area, shape, aggregation, and diversity. The quantitative spatial characteristics can provide a reference for urban design and management.
keywords	landscape pattern indices; Local Climate Zones (LCZ); urban form
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia20_406
id	acadia20_406
authors	Duong, Eric; Vercoe, Garrett; Baharlou, Ehsan
year	2020
title	Engelbart
doi	https://doi.org/10.52842/conf.acadia.2020.1.406
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. 406-415.
summary	The internet has long been viewed as a cyberspace of free and collective information, allowing for an increase in the diversity of ideas and viewpoints available to the general public. However, critics argue that the emergence of personalization algorithms on social media and other internet platforms instead reduces information diversity by forming “filter bubbles"" of viewpoints similar to the user’s own. The adoption of these personalization algorithms is due in part to advancements in natural language processing, which allow for textual analysis at unprecedented scales. This paper aims to utilize natural language processing and architectural spatial principles to present social media from a collective viewpoint rather than a personalized one. To accomplish this, the paper introduces Engelbart, a data-driven agent-based system, where real-time Twitter conversations are visualized within a two-dimensional environment. This environment is interacted with by the artificial intelligence (AI) agent, Engelbart, which summarizes crowdsourced thoughts and feelings about current trending topics. The functionality of this web application comes from the natural language processing of thousands of tweets per minute throughout several layers of operations, including sentiment analysis and word embeddings. Presented as an understandable interface, it incorporates the values of cybernetics, cyberspace, agent-based modeling, and data ethics to show the potential for social media to become a more transparent space for collective discussion.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_474
id	acadia20_474
authors	Rossi, Gabriella; Walker, James; Sondergaard, Asborn; Worre Foged, Isak; Pasold, Anke; Hilmer, Jakob
year	2020
title	Design-to-Manufacture Workflows of Sound-Scattering Acoustic Brick Walls
doi	https://doi.org/10.52842/conf.acadia.2020.1.474
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. 474-483.
summary	Improving speech intelligibility in classrooms enhances information dissemination, institutional knowledge capture, and quality of learning experience. While off-the-shelf solutions are available for acoustically retrofitting existing learning spaces, they do not allow for a fine-tuned context-specific intervention. However, this possibility is enabled through bespoke digital manufacturing informed by advanced digital simulations. In this research we explore and synchronize architecture, acoustics, computation, and fabrication for the making of better sound environments. We present performance-driven design-to-manufacture (DTM) workflows for sound-scattering brick elements. We reimagine the brick as an acoustically active geometry capable of modulating the sound experience in a university classroom by improving speech intelligibility. We contextualize our research within existing methods of digital performance-based design and robotic fabrication processes, namely wire cutting and pick-and-place applications. We then detail digital methods that combine heuristics and acoustic simulation to design the bricks within the 3D modeling environment, as well as describe the processes of robotic oscillating wire cutting and adaptive pick-and-place developed for the execution of the full-scale demonstrator. Finally, we report on the results of the acoustic analysis performed on the full-scale demonstrator in situ and laboratory measurements of a representative demonstrator which validates our design hypothesis.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_240
id	caadria2020_240
authors	Stojanovic, Djordje and Vujovic, Milica
year	2020
title	How to Share a Home - Towards Predictive Analysis for Innovative Housing Solutions
doi	https://doi.org/10.52842/conf.caadria.2020.1.547
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 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 547-556
summary	Renewed interest in cohousing solutions is driven by the rapid population growth and a lack of affordable housing in many cities across the world. The home share has become more prevalent in recent years due to the cost benefits and social gains it provides. While it involves challenges primarily concerned with the usage of communal areas, the viability of this housing model increases with the advancement of technology enabling new tools for analysis and optimisation of spatial usage. This paper introduces a method of sensor application in the occupancy analysis to provide grounding for future studies and the implementation of advanced computational methods. The study focuses on the underexplored potential of the communal spaces and provides a method for the measuring of specific aspects of their usage. The study applies principles of mathematical set theory, to give a more conclusive understanding of how communal areas are used, and therefore contributes to the improvement of housing design. Presented outcomes include an algorithmic chart and a blueprint of a behavioural model.
keywords	Cohousing; Housing share; Post Occupancy Evaluation; Machine Learning ; Predictive Analysis
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2021_257
id	ecaade2021_257
authors	Cichocka, Judyta Maria, Loj, Szymon and Wloczyk, Marta Magdalena
year	2021
title	A Method for Generating Regular Grid Configurations on Free-From Surfaces for Structurally Sound Geodesic Gridshells
doi	https://doi.org/10.52842/conf.ecaade.2021.2.493
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 493-502
summary	Gridshells are highly efficient, lightweight structures which can span long distances with minimal use of material (Vassallo & Malek 2017). One of the most promising and novel categories of gridshells are bending-active (elastic) systems (Lienhard & Gengnagel 2018), which are composed of flexible members (Kuijenhoven & Hoogenboom 2012). Timber elastic gridshells can be site-sprung or sequentially erected (geodesic). While a lot of research focus is on the site-sprung ones, the methods for design of sequentially-erected geodesic gridshells remained underdeveloped (Cichocka 2020). The main objective of the paper is to introduce a method of generating regular geodesic grid patterns on free-form surfaces and to examine its applicability to design structurally feasible geodesic gridshells. We adopted differential geometry methods of generating regular bidirectional geodesic grids on free-form surfaces. Then, we compared the structural performance of the regular and the irregular grids of the same density on three free-form surfaces. The proposed method successfully produces the regular geodesic grid patterns on the free-form surfaces with varying curvature-richness. Our analysis shows that gridshells with regular grid configurations perform structurally better than those with irregular patterns. We conclude that the presented method can be readily used and can expand possibilities of application of geodesic gridshells.
keywords	elastic timber gridshell; bending-active structure; grid configuration optimization; computational differential geometry; material-based design methodology; free-form surface; pattern; geodesic
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2020_402
id	ecaade2020_402
authors	Leibovich, Liz, Nitzan-Shiftan, Alona and Sprecher, Aaron
year	2020
title	Cybernetic Methodologies for Flexible and Generative Architectural Systems - the case of Fun Palace and Pattern Language
doi	https://doi.org/10.52842/conf.ecaade.2020.1.703
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. 703-708
summary	The study focuses on early attempts to deal with complex physical environments through a comparative analysis of two canonic projects that combine architectural design with cybernetic theories: (1) "The Fun Palace", by British architect Cedric Price, 1962; and (2) "A Pattern Language", by architectural theorist Christopher Alexander, 1979. This study suggests that both projects dared to advance the relationship between architecture and cybernetics in order to create active reciprocity between architectural design and cybernetic system theories. Drawing on ideas and terms from systems theory, we suggest using a cybernetic system diagram to compare the two projects. We compare the work of Alexander and Price through the terminology of current technologies in order to better understand the reciprocity between the two fields. Such terms include feedback loop, optimization and translation processes, input and output, influence on the environment, automation and user interaction.
keywords	Cybernetic; Architecture; System; Feedback
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2020_468
id	ecaade2020_468
authors	Mostafavi, Sina, Kastrati, Valmir, Badr, Hossam and Mazlan, Shazwan
year	2020
title	Design Computation to Robotic Production Methods for Reciprocal Tessellation of Free-from Timber Structures - Design, production, and assembly of 100 years Bauhaus wood Pavilion
doi	https://doi.org/10.52842/conf.ecaade.2020.2.413
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. 413-422
summary	In a reciprocal frame structure, at any given joint, there are only two members connecting to each other. Therefore, the joints in a standard reciprocal structure are topologically identical. Due to these topological similarities between the joints, the parametric modeling of a reciprocal frame structure applied to a geometrically regular surface, such as domes and symmetric shells, is practical, and it has been explored in several projects previously. In this context, this paper presents an integrated computational design to robotic production process of a free form wooden pavilion with a non-uniform tessellation pattern with differentiated cell sizes. The case study, on the one hand, elaborates on the challenges of solving reciprocal tessellation on complex geometries, and on the other hand, discusses the chosen and developed robotic production approach as a feedback loop that informs the design process.
keywords	Reciprocal Structure; Wood Assembly; Design to Robotic Production; Reciprocal Tessellation; Free Form Timber Structure
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2020_133
id	ecaade2020_133
authors	Andrade Zandavali, Barbara, Paul Anderson, Joshua and Patel, Chetan
year	2020
title	Embodied Learning through Fabrication Aware Design
doi	https://doi.org/10.52842/conf.ecaade.2020.2.145
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. 145-154
summary	The contemporary culture of geometry-driven design stands as consequence of an institutionalised segregation between the fields of architecture, structure and construction. In turn, digital design methods that are both material and fabrication aware from the outset create space for uncertainty and the potential for embodied learning. Following this principle, this paper summarises the outcomes of a workshop developed to investigate the contribution of fabrication aware design methods in the production of a masonry block using both analogue and digital manufacturing. Students were to develop and investigate a design, through assembly techniques and configurations orientated around manual hot wire cutting, robotic tooling and three-dimensional printing. Outcomes were manufactured and compared regarding work precision, production time, material efficiency, cost and scalability. The analysis indicated that the most accurate results yielded from the robotic tooling system, and simultaneously exhibited the most efficient use of time, while the three-dimensional printer generated the least material waste, due to the nature of additive production. Fabrication aware design and comparative analysis enabled students to make more informed decisions while the use of rapid prototyping facilitated a relationship between digitalization and materiality allowing for a space in which uncertainty and reflection could be fostered. Reinforcing that fabrication aware design methods can unify the field and provide guidance to designers over multi-lateral aspects of a project.
keywords	Fabrication-Aware Design; Rapid Prototyping; Embodiment
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia20_436
id	acadia20_436
authors	Chun Hin Fong, Jacky; Long Wun Poon, Adabelle; Sze Ngan, Wing; Hei Ho, Chung; Goepel, Garvin; Crolla, Kristof
year	2020
title	Augmenting Craft with Mixed Reality
doi	https://doi.org/10.52842/conf.acadia.2020.1.436
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. 436-444.
summary	This paper discusses novel methods for and advantages of integrating augmented reality (AR) and photogrammetry in hand clay-sculpting workflows. These techniques permit nontrained users to achieve higher precision during the sculpting process by holographically overlaying instructions from digital 3D source geometry on top of the sculpting material. By employing alternative notational systems in design implementation methods, the research positions itself in a postdigital context aimed at humanizing digital technologies. Throughout history, devices have been developed to increase production, such as Henry Dexter’s 1842 “Apparatus for Sculptors” for marble sculpting. Extrapolating from this, the workflow presented in this paper uses AR to overlay extracted information from 3D models directly onto the sculptor’s field of vision. This information can then become an AR-driven guidance system that assists the sculptor. Using the Microsoft HoloLens, holographic instructions are introduced in the production sequence, connecting the analog sculpture fabrication directly with a digital environment, thus augmenting the craftspeople’s agency. A series of AR-aided sculpting methods were developed and tested in a demonstrator case study project that created a small-scale clay copy of Henry Moore’s Sheep Piece (1971–1972). This paper demonstrates how user-friendly software and hardware tools have lowered the threshold for end users to develop new methods that straightforwardly facilitate and improve their crafts’ effectiveness and agency. This shows that the fusion of computational design technology and AR visualization technology can innovate a specific craft’s design and production workflow, opening the door for further application developments in more architecture-specific fabrication contexts.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_604
id	acadia20_604
authors	Craney, Ryan; Adel, Arash
year	2020
title	Engrained Performance
doi	https://doi.org/10.52842/conf.acadia.2020.1.604
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.
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	ecaade2024_4
id	ecaade2024_4
authors	Irodotou, Louiza; Gkatzogiannis, Stefanos; Phocas, Marios C.; Tryfonos, George; Christoforou, Eftychios G.
year	2024
title	Application of a Vertical Effective Crank–Slider Approach in Reconfigurable Buildings through Computer-Aided Algorithmic Modelling
doi	https://doi.org/10.52842/conf.ecaade.2024.1.421
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 421–430
summary	Elementary robotics mechanisms based on the effective crank–slider and four–bar kinematics methods have been applied in the past to develop architectural concepts of reconfigurable structures of planar rigid-bar linkages (Phocas et al., 2020; Phocas et al., 2019). The applications referred to planar structural systems interconnected in parallel to provide reconfigurable buildings with rectangular plan section. In enabling structural reconfigurability attributes within the spatial circular section buildings domain, a vertical setup of the basic crank–slider mechanism is proposed in the current paper. The kinematics mechanism is integrated on a column placed at the middle of an axisymmetric circular shaped spatial linkage structure. The definition of target case shapes of the structure is based on a series of numerical geometric analyses that consider certain architectural and construction criteria (i.e., number of structural members, length, system height, span, erectability etc.), as well as structural objectives (i.e., structural behavior improvement against predominant environmental actions) aiming to meet diverse operational requirements and lightweight construction. Computer-aided algorithmic modelling is used to analyze the system's kinematics, in order to provide a solid foundation and enable rapid adaptation for mechanisms that exhibit controlled reconfigurations. The analysis demonstrates the implementation of digital parametric design tools for the investigation of the kinematics of the system at a preliminary design stage, in avoiding thus time-demanding numerical analysis processes. The design process may further provide enhanced interdisciplinary performance-based design outcomes.
keywords	Reconfigurable Structures, Spatial Linkage Structures, Kinematics, Parametric Associative Design
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ijac202018407
id	ijac202018407
authors	Marcelo Bernal, Victor Okhoya, Tyrone Marshall, Cheney Chen and John Haymaker
year	2020
title	Integrating expertise and parametric analysis for a data-driven decision-making practice
source	International Journal of Architectural Computing vol. 18 - no. 4, 424–440
summary	This study explores the integration of expert design intuition and parametric data analysis. While traditional professional design expertise helps to rapidly frame relevant aspects of the design problem and produce viable solutions, it has limitations in addressing multi-criteria design problems with conflicting objectives. On the other hand, parametric analysis, in combination with data analysis methods, helps to construct and analyze large design spaces of potential design solutions and tradeoffs, within a given frame. We explore a process whereby expert design teams propose a design using their current intuitive and analytical methods. That design is then further optimized using parametric analysis. This study specifically explores the specification of geometric and material properties of building envelopes for two typically conflicting objectives: daylight quality and energy consumption. We compare performance of the design after initial professional design exploration, and after parametric analysis, showing consistently significant performance improvement after the second process. The study explores synergies between intuitive and systematic design approaches, demonstrating how alignment can help expert teams efficiently and significantly improve project performance.
keywords	Performance analysis, parametric analysis, design space, design expertise, data analysis, optimization
series	journal
email
last changed	2021/06/03 23:29

_id	ecaade2020_138
id	ecaade2020_138
authors	Patel, Sayjel Vijay, Tchakerian, Raffi, Lemos Morais, Renata, Zhang, Jie and Cropper, Simon
year	2020
title	The Emoting City - Designing feeling and artificial empathy in mediated environments
doi	https://doi.org/10.52842/conf.ecaade.2020.2.261
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. 261-270
summary	This paper presents a theoretical blueprint for implementing artificial empathy into the built environment. Transdisciplinary design principles have oriented the creation of a new model for autonomous environments integrating psychology, architecture, digital media, affective computing and interactive UX design. 'The Emoting City', an interactive installation presented at the 2019 Shenzhen Bi-City Biennale of Urbanism/Architecture, is presented as a first step to explore how to engage AI-driven sensing by integrating human perception, cognition and behaviour in a real-world scenario. The approach described encompasses two main elements: embedded cyberception and responsive surfaces. Its human-AI interface enables new modes of blended interaction that are conducive to self-empathy and insight. It brings forth a new proposition for the development of sensing systems that go beyond social robotics into the field of artificial empathy. The installation innovates in the design of seamless affective computing that combines 'alloplastic' and 'autoplastic' architectures. We believe that our research signals the emergence of a potential revolution in responsive environments, offering a glimpse into the possibility of designing intelligent spaces with the ability to sense, inform and respond to human emotional states in ways that promote personal, cultural and social evolution.
keywords	Artificial Intelligence; Responsive Architecture; Affective Computation; Human-AI Interfaces; Artificial Empathy
series	eCAADe
email
last changed	2022/06/07 07:59

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