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	ijac201917106
id	ijac201917106
authors	Brown, Nathan C. and Caitlin T. Mueller
year	2019
title	Design variable analysis and generation for performance-based parametric modeling in architecture
source	International Journal of Architectural Computing vol. 17 - no. 1, 36-52
summary	Many architectural designers recognize the potential of parametric models as a worthwhile approach to performance- driven design. A variety of performance simulations are now possible within computational design environments, and the framework of design space exploration allows users to generate and navigate various possibilities while considering both qualitative and quantitative feedback. At the same time, it can be difficult to formulate a parametric design space in a way that leads to compelling solutions and does not limit flexibility. This article proposes and tests the extension of machine learning and data analysis techniques to early problem setup in order to interrogate, modify, relate, transform, and automatically generate design variables for architectural investigations. Through analysis of two case studies involving structure and daylight, this article demonstrates initial workflows for determining variable importance, finding overall control sliders that relate directly to performance and automatically generating meaningful variables for specific typologies.
keywords	Parametric design, design space formulation, data analysis, design variables, dimensionality reduction
series	journal
email
last changed	2019/08/07 14:04

_id	acadia19_500
id	acadia19_500
authors	Larsen, Niels Martin; Anders Kruse Aagaard
year	2019
title	Exploring Natural Wood
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 500-509
doi	https://doi.org/10.52842/conf.acadia.2019.500
summary	By investigating methods for using computation and digital manufacturing technologies to integrate material properties with architectural design tools, the research in this paper aims at revealing new potentials for the use of wood in architecture. Through an explorative approach, material particularities and fabrication methods are explored and combined into new workflows and architectural expressions. The research looks into different properties and capacities of wood, but the main part of the experimentation revolves around crooked oak logs. Due to their irregularities, these logs are normally discarded. However, through the methods suggested in this research, they are instead matched with unique processing informed by their divergence. The research presents a workflow for handling the discrete shapes of sawlogs in a system that both involve the collecting of material, scanning/digitization, handling of a stockpile, computer analysis, design, and robotic manufacturing. The workflow includes multiple custom-made solutions for handling the complex and different shapes and data of wood logs in a highly digitized machining and fabrication environment. The suggested method is established through investigations of wood as a natural material, studies of the production lines in the current wood industry, and experimentation in our in-house laboratory facilities. This up-cycling of discarded wood supply establishes a non-standard workflow that utilizes non-standard material stock and leads to a critical articulation of today’s linear material economy. The research thereby gives an example of how the natural forms and properties of sawlogs can be directly used to generate new structures and spatial conditions.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

_id	ecaadesigradi2019_159
id	ecaadesigradi2019_159
authors	Lopes, Jo?o, Paio, Alexandra and Beir?o, José Nuno
year	2019
title	The Morphology of Public Open Spaces as Visual Opportunity Fields - A space syntax approach based on Revelation and VGA maps customization with SalaScript
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 277-286
doi	https://doi.org/10.52842/conf.ecaade.2019.3.277
summary	This paper explores the visual dynamics of the morphology of public open spaces. Resorting to space syntax concepts, visual graph analysis (VGA), and the innovative use of its standard tool Depthmap, a set of case studies is analysed under the perspective of visual opportunity fields and building upon the established concept and metrics of Revelation. A series of related novel measures and visualizations are developed, which are only possible, in Depthmap environment, by the advanced use of its scripting language: SalaScript. Despite Depthmap being the standard tool among the space syntax community, there is a lack of references to the explicit use of SalaScript. One major objective of this paper is to illustrate, and document, its possibilities to a broad audience by extending, customizing and introducing a more interactive approach in handling VGA maps. We present SalaScript functionalities and its use in the development of visual analysis scripts that allow the study of revelation, which we then apply to a set of real public open spaces case studies.
keywords	Visibility graph analysis; Space syntax; Public open space; Depthmap SalaScript; Revelation
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	caadria2019_345
id	caadria2019_345
authors	Marschall, Max and Burry, Jane
year	2019
title	Can the Use of Stochastic Models of Occupants' Environmental Control Behavior Influence Architectural Design Outcomes? - How field data can influence design outcomes
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 715-724
doi	https://doi.org/10.52842/conf.caadria.2019.1.715
summary	Thermal comfort research has shown that natural ventilation can reduce energy consumption while increasing comfort. However, giving occupants control over their environment introduces uncertainty into building performance which is challenging to emulate using current simulation techniques. Traditionally, window operation is modelled deterministically, for instance by assuming windows to be opened at a predefined temperature. Studies have shown this to be inaccurate, often causing large discrepancies between simulated and actual performance; instead, probabilistic models have emerged based on field study data. The literature on this topic is currently limited to building science and lacks an analysis of how these insights may affect architecture. In a design study, we used evolutionary computation to determine comfort-optimized housing designs for various climates, each time comparing the results of both window operation models. The resulting designs varied considerably; most notably, using the stochastic approach resulted in more shading elements, especially in warmer climates.
keywords	window operation model; stochastic; natural ventilation; thermal comfort; occupant behavior
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2019_666
id	caadria2019_666
authors	Yang, Lijing, Cheng, Bingyu, Deng, Nachuan, Zhou, Zhi and Huang, Weixin
year	2019
title	The Influence of Supermarket Spatial Layout on Shopping Behavior and Product Sales - An application of the Ultra-wideband Indoor Positioning System
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 301-310
doi	https://doi.org/10.52842/conf.caadria.2019.1.301
summary	Companies and researchers had explored many methods to record people's shopping behavior, in order to explore a more favorable spatial layout. However, few research has been done from the architectural perspective using fine data. This research aims to set forth a clear relationship between the layout of the shelves and shopping behavior, as well as product sales, thus achieving a balance between customers shopping experience improvement and supermarket sales promotion. To achieve the goal, we designed experiments to track the shopping trajectory of many shoppers and set up questionnaires to get their personal and shopping information. Regarding the equipment for tracking the trajectory, we adopted the Ultra-Wideband indoor positioning system, which provides high positioning accuracy and stable performance. Based on the location data, we found spaces that appealed to shoppers and spaces where shoppers stayed longer. In addition, by comparing with the products they ultimately purchased, we found that buying behavior are highly related with the shoppers' movements in the supermarket. Based on the existing analysis, we assume that the spatial layout of the supermarket will affect people's impulse purchasing behavior. The UWB approach turns out to be feasible and can be applied to other supermarket behavior studies.
keywords	Shopping behavior; Ultra-Wideband; Supermarket layout; Trajectory; Quantitative Analysis
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	cf2019_052
id	cf2019_052
authors	Abdelmohsen, Sherif ;Passaint Massoud, Rana El-Dabaa, Aly Ibrahim and Tasbeh Mokbel
year	2019
title	The Effect of Hygroscopic Design Parameters on the Programmability of Laminated Wood Composites for Adaptive Façades
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 435
summary	Typical adaptive façades respond to external conditions to enhance indoor spaces based on complex mechanical actuators and programmable functions. Hygroscopic embedded properties of wood, as low-cost low-tech programmable material, have been utilized to induce passive motion mechanisms. Wood as anisotropic material allows for different passive programmable motion configurations that relies on several hygroscopic design parameters. This paper explores the effect of these parameters on programmability of laminated wood composites through physical experiments in controlled humidity environment. The paper studies variety of laminated configurations involving different grain orientations, and their effect on maximum angle of deflection and its durability. Angle of deflection is measured using image analysis software that is used for continuous tracking of deflection in relation to time. Durability is studied as the number of complete programmable cycles that wood could withstand before reaching point of failure. Results revealed that samples with highest deflection angle have least programmability durability.
keywords	Wood, hygroscopic design, lamination, deflection, durability, adaptive façades
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	caadria2019_660
id	caadria2019_660
authors	Aghaei Meibodi, Mania, Giesecke, Rena and Dillenburger, Benjamin
year	2019
title	3D Printing Sand Molds for Casting Bespoke Metal Connections - Digital Metal: Additive Manufacturing for Cast Metal Joints in Architecture
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 133-142
doi	https://doi.org/10.52842/conf.caadria.2019.1.133
summary	Metal joints play a relevant role in space frame constructions, being responsible for large amount of the overall material and fabrication cost. Space frames which are constructed with standardized metal joints are constrained to repetitive structures and topologies. For customized space frames, the fabrication of individual metal joints still remains a challenge. Traditional fabrication methods such as sand casting are labour intensive, while direct 3D metal printing is too expensive and slow for the large volumes needed in architecture.This research investigates the use of Binder Jetting technology to 3D print sand molds for casting bespoke metal joints in architecture. Using this approach, a large number of custom metal joints can be fabricated economically in short time. By automating the generation of the joint geometry and the corresponding mold system, an efficient digital process chain from design to fabrication is established. Several design studies for cast metal joints are presented. The approach is successfully tested on the example of a full scale space frame structure incorporating almost two hundred custom aluminum joints.
keywords	3D printing; binder jetting; sand casting; metal joints; metal casting; space frame; digital fabrication; computational design; lightweight; customization
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia19_630
id	acadia19_630
authors	Ahlquist, Sean
year	2019
title	Expanding the Systematic Agencyof a Material System
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 630-641
doi	https://doi.org/10.52842/conf.acadia.2019.630
summary	Computational design and fabrication have reached an accomplished level of ubiquity and proficiency in the field of architecture, in both academia and practice. Materiality driving structure, responsiveness, and spatial organization can be seen to evolve, in kind, with the capabilities to fabricate deeper material hierarchies. Such maturity of a procedural material-driven approach spurs a need to shift from the dictations of how to explorations of why material efficiencies, bespoke aesthetics, and performativity are critical to a particular architecture, requiring an examination of linkages between approach, techniques, and process. The material system defines a branch of architectural research utilizing bespoke computational techniques to generate performative material capacities that are inextricably linked to both internal and external forces and energies. This paper examines such a self-referential view to define an expanded ecological approach that integrates new modes of design agency and shift the material system from closed-loop relationship with site to open-ended reciprocation with human behavior. The critical need for this capacity is shown in applications of novel textile hybrid material systems—as sensorially-responsive environments for children with the neurological autism spectrum disorder—in ongoing research titled Social Sensory Architectures. Through engaging fabrication across all material scales, manners of elastic responsivity are shown, through a series of feasibility studies, to exhibit a capacity for children to become design agents in exploring the beneficial interrelationship of sensorimotor agency and social behavior. The paper intends to contribute a theoretical approach by which novel structural capacities of a material system can support a larger ecology of social and behavioral agency.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_182
id	ecaadesigradi2019_182
authors	Argin, Gorsev, Pak, Burak and Turkoglu, Handan
year	2019
title	Post-flâneur in Public Space - Altering walking behaviour in the era of smartphones
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 649-658
doi	https://doi.org/10.52842/conf.ecaade.2019.1.649
summary	Smartphones have become an ordinary accompanier of our walks and created new modes of appropriation of public space. This study aims to research these modes by observing the altering visual attention and walking behavior of people using smartphones in public space, and in this way, to reveal the emergence of different types of post-flâneurs. In order to address these aims, 346 (195 females, 151 males) smartphone users were observed in a central public square in Ghent, Belgium for seven days in 10-minute time intervals. Each person's gender, age, number of accompanies and their dominant mode of smartphone usage(s) were identified. Afterward, each person's walking timeline was organized into seconds and coded according to their focus of visual attention in 24 different modes which grouped under the three gaze types; visual attention on the environment, on the environment through the smartphone screen, and on the smartphone screen. Results of the descriptive statistics, multivariate graph, and rhythm-based in-depth analysis show that different types of smartphone activities affect visual attention and speed differently. Different types of post-flâneurs such as navigators and photo takers were identified based upon their high percentage of visual attention on the environment and slower walking speed. The study also revealed the frequent presence of phone-walkers (who walk while only holding the smartphone) and smartphone zombies (who walk slowly and without attention to their surrounding) in public space. In addition to these, our research revealed rapid smartphone zombies who walk faster than the average walking speed, a finding contrary to the former studies reviewed.
keywords	visual attention; public space; smartphone; walking behaviour; post-flâneur
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	cf2019_048
id	cf2019_048
authors	Argota Sanchez-Vaquerizo, Javier and Daniel Cardoso Llach
year	2019
title	The Social Life of Small Urban Spaces 2.0 Three Experiments in Computational Urban Studies
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 430
summary	This paper introduces a novel framework for urban analysis that leverages computational techniques, along with established urban research methods, to study how people use urban public space. Through three case studies in different urban locations in Europe and the US, it demonstrates how recent machine learning and computer vision techniques may assist us in producing unprecedently detailed portraits of the relative influence of urban and environmental variables on people’s use of public space. The paper further discusses the potential of this framework to enable empirically-enriched forms of urban and social analysis with applications in urban planning, design, research, and policy.
keywords	Data Analytics, Urban Design, Machine Learning, Artificial Intelligence, Big Data, Space Syntax
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	caadria2019_459
id	caadria2019_459
authors	Behmanesh, Hossein and Brown, AndrÃ© G.P.
year	2019
title	Classification and Review of Software Applications in the Context of Urban Design Processes
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 211-220
doi	https://doi.org/10.52842/conf.caadria.2019.2.211
summary	We have seen increasing expectations from our cities: as we aim to enable them to become smarter, more efficient and more sustainable. Having these goals makes the urban designing process increasingly complex. Undertaking contemporary urban design and analysis requires a rounded and inclusive approach. In the discussion relating to the smart city there has been attention to infrastructure technology solutions. But ways of estimating the success of more comprehensive urban design interventions is also extremely important. In response to these needs, digital urban design simulation and analysis software packages have been developed to help urban designers model and evaluate their designs before they take shape in the real world. We analyse, and reflect on the current aids available, classifying the urban design software packages which were used in the body of knowledge. In addition, more influential urban design software packages have been reviewed to figure out in which stages of the urban design process, they have applied. This review also helpful for software developer to understand which software packages more useful and which ones need to be developed in future.
keywords	Smart city; Urban Design Process; software application; classification
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ijac201917103
id	ijac201917103
authors	Bejarano, Andres; and Christoph Hoffmann
year	2019
title	A generalized framework for designing topological interlocking configurations
source	International Journal of Architectural Computing vol. 17 - no. 1, 53-73
summary	A topological interlocking configuration is an arrangement of pieces shaped in such a way that the motion of any piece is blocked by its neighbors. A variety of interlocking configurations have been proposed for convex pieces that are arranged in a planar space. Published algorithms for creating a topological interlocking configuration start from a tessellation of the plane (e.g. squares colored as a checkerboard). For each square S of one color, a plane P through each edge E is considered, tilted by a given angle ? against the tessellated plane. This induces a face F supported by P and limited by other such planes nearby. Note that E is interior to the face. By adjacency, the squares of the other color have similarly delimiting faces. This algorithm generates a topological interlocking configuration of tetrahedra or antiprisms. When checked for correctness (i.e. for no overlap), it rests on the tessellation to be of squares. If the tessellation consists of rectangles, then the algorithm fails. If the tessellation is irregular, then the tilting angle is not uniform for each edge and must be determined, in the worst case, by trial and error. In this article, we propose a method for generating topological interlocking configurations in one single iteration over the tessellation or mesh using a height value and a center point type for each tile as parameters. The required angles are a function of the given height and selected center; therefore, angle choices are not required as an initial input. The configurations generated using our method are compared against the configurations generated using the angle-choice approach. The results show that the proposed method maintains the alignment of the pieces and preserves the co-planarity of the equatorial sections of the pieces. Furthermore, the proposed method opens a path of geometric analysis for topological interlocking configurations based on non-planar tessellations.
keywords	Topological interlocking, surface tessellation, irregular geometry, parametric design, convex assembly
series	journal
email
last changed	2019/08/07 14:04

_id	ecaadesigradi2019_110
id	ecaadesigradi2019_110
authors	Bernal, Marcelo, Marshall, Tyrone, Okhoya, Victor, Chen, Cheney and Haymaker, John
year	2019
title	Parametric Analysis versus Intuition - Assessment of the effectiveness of design expertise
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 103-110
doi	https://doi.org/10.52842/conf.ecaade.2019.2.103
summary	This paper explores through professional case studies how design solutions produced by expert teams compares to those developed through systematic parametric analysis. While the expert intuition of either single designer or teams helps to rapidly identify relevant aspects of the design problem and produce viable solutions, it has limitation to address multi-criteria design problems with conflicting objectives and searching for design alternatives. On the other hand, parametric analysis techniques in combination with data analysis methods helps to construct and analyze large design spaces of potential design solutions. For the purpose of this study, the specifications of geometric features and material properties of the building envelopes proposed by the expert design teams define the base line to measure the extent of the performance improvements of two typically conflicting objectives: Daylight quality and energy consumption. The results show consistently significant performance improvement after systematic optimization.
keywords	Performance Analysis; Parametric Analysis; Design Space; Design Expertise; Optimization
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	ijac202119302
id	ijac202119302
authors	BuHamdan, Samer; Alwisy, Aladdin; Bouferguene, Ahmed
year	2021
title	Generative systems in the architecture, engineering and construction industry: A systematic review and analysis
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 226–249
summary	Researchers have been extensively exploring the employment of generative systems to support design practices in the architecture, engineering and construction industry since the 1970s. More than half a century passed since the first architecture, engineering and construction industry’s generative systems were developed; researchers have achieved remarkable leaps backed by advances in computing power and algorithms’ capacity. In this article, we present a systematic analysis of the literature published between 2009 and 2019 on the utilization of generative systems in the design practices of the architecture, engineering and construction industry. The present research studies present trends, collaborations and applications of generative systems in the architecture, engineering and construction industry in order to identify existing shortcomings and potential advancements that balance the need for theory development and practical application. It provides insightful observations that are translated into meaningful recommendations for future research necessary to progress the incorporation of generative systems into the design practices of the architecture, engineering and construction industry.
keywords	Generative systems, architecture, engineering and construction industry, performative design, generative design, systematic literature review, future directions
series	journal
email
last changed	2024/04/17 14:29

_id	caadria2019_491
id	caadria2019_491
authors	Cai, Chenyi, Tang, Peng and Li, Biao
year	2019
title	Intelligent Generation of Architectural layout inheriting spatial features of Chinese Garden Based on Prototype and Multi-agent System - A Case Study on Lotus Teahouse in Yixing
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 291-300
doi	https://doi.org/10.52842/conf.caadria.2019.1.291
summary	This study presents an approach for the intelligent generation of architectural layout, in which partial space inherits Chinese garden spatial features. The approach combines spatial prototype analysis and evolutionary optimization process. On one hand, from the perspective of shape grammar, this paper both analyzes and abstracts the spatial prototype that describes the spatial characteristics of Chinese gardens, including the organization system of architecture and landscape, with the spatial sequences along the tourism orientation. On the other hand, taking the design task of Lotus teahouse as an example, a typical spatial prototype is selected to develop the generative intelligent experiment to achieve the architectural layout, in which the spatial prototype is inherited. Through rule-making and parameter adjustment, the spatial prototype will eventually be transformed into a computational model based on the multi-agent system. Hence, the experiment of intelligent generation of architectural layout is carried out under the influence of the function, form and environmental factors; and a three-dimensional conceptual model that inherits the Chinese garden spatial prototype is obtained ultimately.
keywords	Chinese garden; Architectural layout; Spatial prototype; Multi-agent system; Intelligent generation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_179
id	ecaadesigradi2019_179
authors	Castelo-Branco, Renata, Leit?o, António and Santos, Guilherme
year	2019
title	Immersive Algorithmic Design - Live Coding in Virtual Reality
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 455-464
doi	https://doi.org/10.52842/conf.ecaade.2019.2.455
summary	As many other areas of human activity, the architectural design process has been recently shaken by Virtual Reality (VR), as it offers new ways to experience and communicate architectural space. In this paper we propose Live Coding in Virtual Reality (LCVR), a design approach that allows architects to benefit from the advantages of VR within an algorithmic design workflow. LCVR integrates a live coding solution, where the architect programs his design intent and immediately receives feedback on the changes applied to the program; and VR, which means this workflow takes place inside the virtual environment, where the architect is immersed in the model that results from the program he is concurrently updating from inside VR. In this paper we discuss the possible impacts of such an approach, as well as the most pressing implementation issues. We offer a critical analysis and comparison of the various solutions available in the context of two different programming paradigms: visual and textual.
keywords	Virtual Reality; Algorithmic Design; Live Coding
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	caadria2020_093
id	caadria2020_093
authors	Cerovsek, Tomo and Martens, Bob
year	2020
title	The Evolution of CAADRIA Conferences - A Bibliometric Approach
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. 325-334
doi	https://doi.org/10.52842/conf.caadria.2020.1.325
summary	This paper presents an analysis of the output, impact, use and content of 1,860 papers that were published in the CAADRIA conference proceedings over the last 20+ years (from 1996 to 2019). The applied methodology is a blend of bibliometrics, webometrics and clustering with text mining. The bibliometric analysis leads to quantitative and qualitative results on three levels: (1) author, (2) article and (3) association. The most productive authors authored over 50 papers, and the top 20% authors have over 80 % of all citations generated by CAADRIA proceedings. The overall impact of CAADRIA may be characterised by nearly 2,000 known citations and by the h-index that is 17. The webometrics based on CumInCAD.org reveals that the CAADRIA papers served over 200 k users, which is a considerable visibility for scientific CAAD output. The keywords most frequently used by authors were digital fabrication, BIM and parametric, generative, computational design. Notably, 90% of the papers' descriptors are 2-grams. This study may be useful to researchers, educators and publishers interested in CAAD.
keywords	bibliometrics; open source; text clustering; n-gram
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2019_452
id	caadria2019_452
authors	Choi, Minkyu, Yi, Taeha, Kim, Meereh and Lee, Ji-Hyun
year	2019
title	Land Price Prediction System Using Case-based Reasoning
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 767-774
doi	https://doi.org/10.52842/conf.caadria.2019.1.767
summary	Real estate price prediction is very complex process. Big data and machine learning technology have been introduced in many research areas, and they are also making such an attempt in the real estate market. Although real estate price forecasting studies is actively conducted, using support vector machine, machine learning algorithm, AHP method, and so on, validity and accuracy are still not reliable.In this research, we propose a Case-Based Reasoning system using regression analysis to allocate weight of attributes. This proposed system can support to predict the real estate price based on collecting public data and easily update the knowledge about real estate. Since the result shows error rate less than 30% through the experiment, this algorithm gives better performance than previous one. By this research, it is possible for help decision-makers to expect the real estate price of interested area.
keywords	Artificial intelligence; Case-based reasoning; Land price prediction; Regression
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_369
id	ecaadesigradi2019_369
authors	Contreras, Camilo Hernán
year	2019
title	Surfaces Plot - A data visualization system to support design space exploration
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 145-152
doi	https://doi.org/10.52842/conf.ecaade.2019.2.145
summary	The notion of design spaces (DS) can be understood as the potential of a parametric model, it is basically the number of possible combinations for its input parameters. When combining tools that produce these alternatives automatically with different simulation softwares, the concept of parametric analysis (PA) emerges. This implies a simultaneous evaluation of the alternatives as they are constructed by the parametric model, producing large amounts of information. This article describes a sectional approach to the management of this information and a visualization technique to represent it looking for correlations between the input parameters and their performance. Correlations that are fundamental to making decisions with confidence when design problems challenge traditional methods of decision-making based on heuristics and design expertise.
keywords	Design Space ; Performance-Based Design; Parametric Analysis; Generative Design; Data Visualization
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	ecaade2023_138
id	ecaade2023_138
authors	Crolla, Kristof and Wong, Nichol
year	2023
title	Catenary Wooden Roof Structures: Precedent knowledge for future algorithmic design and construction optimisation
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 611–620
doi	https://doi.org/10.52842/conf.ecaade.2023.1.611
summary	The timber industry is expanding, including construction wood product applications such as glue-laminated wood products (R. Sikkema et al., 2023). To boost further utilisation of engineered wood products in architecture, further development and optimisation of related tectonic systems is required. Integration of digital design technologies in this endeavour presents opportunities for a more performative and spatially diverse architecture production, even in construction contexts typified by limited means and/or resources. This paper reports on historic precedent case study research that informs an ongoing larger study focussing on novel algorithmic methods for the design and production of lightweight, large-span, catenary glulam roof structures. Given their structural operation in full tension, catenary-based roof structures substantially reduce material needs when compared with those relying on straight beams (Wong and Crolla, 2019). Yet, the manufacture of their non-standard geometries typically requires costly bespoke hardware setups, having resulted in recent projects trending away from the more spatially engaging geometric experiments of the second half of the 20th century. The study hypothesis that the evolutionary design optimisation of this tectonic system has the potential to re-open and expand its practically available design solution space. This paper covers the review of a range of built projects employing catenary glulam roof system, starting from seminal historic precedents like the Festival Hall for the Swiss National Exhibition EXPO 1964 (A. Lozeron, Swiss, 1964) and the Wilkhahn Pavilions (Frei Otto, Germany, 1987), to contemporary examples, including the Grandview Heights Aquatic Centre (HCMA Architecture + Design, Canada, 2016). It analysis their structural concept, geometric and spatial complexity, fabrication and assembly protocols, applied construction detailing solutions, and more, with as aim to identify methods, tools, techniques, and construction details that can be taken forward in future research aimed at minimising construction complexity. Findings from this precedent study form the basis for the evolutionary-algorithmic design and construction method development that is part of the larger study. By expanding the tectonic system’s practically applicable architecture design solution space and facilitating architects’ access to a low-tech producible, spatially versatile, lightweight, eco-friendly, wooden roof structure typology, this study contributes to environmentally sustainable building.
keywords	Precedent Studies, Light-weight architecture, Timber shell, Catenary, Algorithmic Optimisation, Glue-laminated timber
series	eCAADe
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last changed	2023/12/10 10:49

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