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 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
doi https://doi.org/10.52842/conf.caadria.2019.1.291
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
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_249
id ecaadesigradi2019_249
authors Chiarella, Mauro, Gronda, Luciana and Veizaga, Martín
year 2019
title RILAB - architectural envelopes - From spatial representation (generative algorithm) to geometric physical optimization (scientific modeling)
doi https://doi.org/10.52842/conf.ecaade.2019.3.017
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. 17-24
summary Augmented graphical thinking operates by integrating algorithmic, heuristic, and manufacturing processes. The Representation and Ideation Laboratory (RILAB-2018) exercise begins with the application of a parametric definition developed by the team of teachers, allowing for the construction of structural systems by the means of the combination of segmental shells and bending-active. The main objetive is the construction of a scientific model of simulation for bending-active laminar structures has brought into reality trustworthy previews for architectural envelopes through the interaction of parametrized relational variables. This way we put designers in a strategic role for the building of the pre-analysis models, allowing more preciseness at the time of picking and defining materials, shapes, spaces and technologies and thus minimizing the decisions based solely in the definition of structural typological categories, local tradition or direct experience. The results verify that the strategic integration of models of geometric physical optimization and spatial representation greatly expand the capabilities in the construction of the complex system that operates in the act of projecting architecture.
keywords architectural envelopes; augmented graphic thinking; geometric optimization; bending-active
series eCAADeSIGraDi
email
last changed 2022/06/07 07:55

_id caadria2019_643
id caadria2019_643
authors Hramyka, Alina, Grewal, Neil, Makki, Mohammed and Dillon, Brittney
year 2019
title Intelligent Territory - A responsive cooling tower and shading system for arid environments
doi https://doi.org/10.52842/conf.caadria.2019.2.571
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. 571-580
summary Climatic change coupled with desertification processes impacting cities located around the Mediterranean, has raised serious questions for the capability of the affected cities to adapt to the rapidly changing environmental conditions. This research aims to design small-scale tower structures and shading devices in Nicosia, Cyprus through employing environmental analyses within a generative design process to create an intelligent, adaptive system. Guided by Bernoulli's principles, geometrical design parameters acquired from fluid simulations, alongside solar analyses of the existing city fabric, were used to generate an evolutionary algorithm for design. The research develops a methodology to facilitate environmental flows in urban architectural systems, generating cooling processes in arid environments that facilitate the adaptation of cities to changes in climatic and environmental conditions.
keywords CFD Simulation; Generative Design; Desertification; Passive cooling system
series CAADRIA
type normal paper
email
last changed 2022/06/07 07:51

_id caadria2019_462
id caadria2019_462
authors Koh, Immanuel, Amorim, Pedro and Huang, Jeffrey
year 2019
title Machinic Design Inference: from Pokémon to Architecture - A Probabilistic Machine Learning Model for Generative Design using Game Levels Abstractions
doi https://doi.org/10.52842/conf.caadria.2019.2.421
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. 421-430
summary In this paper, we use a probabilistic machine learning model, trained with a corpus of existing game levels tile-maps, to study the potential of an inference design system for architectural design. Our system is able to extract implicit spatial patterns and generate new spatial configurations with similar semantics of perception and navigation.
keywords Machine Learning; Artificial Intelligence; Generative Design
series CAADRIA
email
last changed 2022/06/07 07:51

_id caadria2019_449
id caadria2019_449
authors Lin, Yuqiong, Yao, Jiawei, Huang, Chenyu and Yuan, Philip F.
year 2019
title The Future of Environmental Performance Architectural Design Based on Human-Computer Interaction - Prediction Generation Based on Physical Wind Tunnel and Neural Network Algorithms
doi https://doi.org/10.52842/conf.caadria.2019.2.633
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. 633-642
summary As the medium of the environment, a building's environment performance-based generative design cannot be separated from intelligent data processing. Sustainable building design should seek an optimized form of environmental performance through a complete set of intelligent induction, autonomous analysis and feedback systems. This paper analyzed the trends in architectural design development in the era of algorithms and data and the status quo of building generative design based on environmental performance, as well as highlighting the importance of physical experiments. Furthermore, a design method for self-generating environmental performance of urban high-rise buildings by applying artificial intelligence neural network algorithms to a customized physical wind tunnel is proposed, which mainly includes a morphology parameter control and environmental data acquisition system, code translation of environmental evaluation rules and architecture of a neural network algorithm model. The design-oriented intelligent prediction can be generated directly from the target environmental requirements to the architectural forms.
keywords Physical wind tunnel; neural network algorithms; dynamic model; environmental performance; building morphology self-generation
series CAADRIA
email
last changed 2022/06/07 07:59

_id acadia19_404
id acadia19_404
authors Liu, Henan; Liao, Longtai; Srivastava, Akshay
year 2019
title AN ANONYMOUS COMPOSITION
doi https://doi.org/10.52842/conf.acadia.2019.404
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. 404-411
summary Within the context of continuous technology transformations, the way scientists and designers process data is changing dramatically from simplification and explicit defined rules to searching and retrieving. Ideally, such a trending method can eliminate issues including deviation and ambiguity with the help of hypothetically unlimited computational power. To process data in this manner, artificial intelligence is necessary and needs to be integrated into the design process. An experiment of a design process that consists of a generative model, a data library, and a machine learning system (GAN) is introduced to demonstrate its effectiveness. The methodology is further evaluated by comparing its output with its input targets, which proves the possibility of employing machine learning systems to aggressively process data and automate the design process. Further improvement of such methodology, including judging criteria and possible applications, and the sensibility of the machine is also discussed at the end.
keywords Machine Learning, Automation, Variables, Data Processing, Sensibility, Generative Design
series ACADIA
type normal paper
email
last changed 2022/06/07 07:59

_id ecaadesigradi2019_360
id ecaadesigradi2019_360
authors Wei, Likai, Ta, La, Li, Liang, Han, Yang, Feng, Yingying, Wang, Xin and Xu, Zhen
year 2019
title RAF: Robot Aware Fabrication - Hand-motion Augmented Robotic Fabrication Workflow and Case Study
doi https://doi.org/10.52842/conf.ecaade.2019.2.241
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. 241-250
summary Fabricating process with robotic awareness and creativity makes architect able to explore the new boundary between digital and material world. Although parametric and generative design method make diverse processing of materials possible for robots, it's still necessary to establish a new design-fabrication framework, where we could simultaneously deal with designers, robots, data, sensor technology and material natural characters. In order to develop a softer system without gap between preset program and robot's varying environments, this paper attempts to establish an environment-computer-robot workflow and transform traditional robotic fabrication from linear to more tangible and suitable for architects' and designers' intuitive motion and gesture. RAF (Robotic Aware Fabrication), a concept of real-time external enhancement fabrication is proposed, and a new workflow of HARF (Hand-motion Augmented Robotic Fabrication) is developed, where motion sensor captures designer's hand-motion, filter algorithm recognizes the intention and update the preset program, robotic controller and RSI (Robotic Sensor Interface) adjusts robot's TCP (Tool Center Point) path in real time. With HARF workflow, two case studies of Hand-motion robotic dance and Free-form concrete wall are made.
keywords RAF; HARF; Hand-motion Sensor; Styrofoam Mold; Concrete Wall; RSI
series eCAADeSIGraDi
email
last changed 2022/06/07 07:58

_id acadia19_60
id acadia19_60
authors Yousif, Shermeen; Yan, Wei
year 2019
title Application of an Automatic Shape Clustering Method
doi https://doi.org/10.52842/conf.acadia.2019.060
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. 60-69
summary Despite their prevalence and extensive applications, generative and design optimization systems lack effective organizational methods of the excessive number of design options they produce, which is problematic for designers’ interaction. Ideally, a diverse and organized set of designs can mediate successful designers’ evaluation and exploration of the design space. Cluster analysis, a big-data management strategy, offers a solution. Yet, there is a need for investigating appropriate methods for applying cluster-analysis to a dataset of geometric shapes. Therefore, we have recently developed and published a new approach, the Shape Clustering using K-Medoids (SC-KM) method as an articulation mechanism in generative systems. The method involves shape description, shape difference measure calculation, and implementation of the K-Medoids clustering algorithm. The focus of this work is on incorporating the method into a generative system with parametric building shape generation and design optimization. The method organizes a dataset of shapes into clusters where shapes within the cluster share similarities yet differ from other clusters, and each cluster is signified by one representative shape. The SC-KM method contributes to an organized design presentation and facilitates designers’ examination of their designs’ geometric qualities.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:57

_id caadria2019_640
id caadria2019_640
authors Zhang, Ruocheng, Tong, Hanshuang, Huang, Weixin and Zhang, Runzhou
year 2019
title A Generative Design Method for the Functional Layout of Town Planning based on Multi-Agent System
doi https://doi.org/10.52842/conf.caadria.2019.2.231
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. 231-240
summary In recent years, with the development of artificial intelligence and digital architecture, more architects begin to wonder how to generate urban planning and urban design through computational method. For the purpose of generating urban planning digitally using computational algorithms, we design a series of algorithms to develop a system that evaluates initial features of the site such as the strength of sunlight, water, landscape. These parameters related to the function zoning of the town were determined based on the data extracted from case studies. These data were integrated into a Markov chain mathematical model for the sake of analyzing the function of grid points. Finally, an algorithm of a multi-agent system was used to optimize the function that could evaluate the grade of each raster point of the town, which could be used to decide the function of a specific region.
keywords Generative design, Town planning,Multi-agent system, Data analysis
series CAADRIA
email
last changed 2022/06/07 07:57

_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
doi https://doi.org/10.52842/conf.caadria.2019.1.133
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
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 cf2019_055
id cf2019_055
authors Agirbas, Asli
year 2019
title A proposal for the use of fractal geometry algorithmically in tiling design
source Ji-Hyun Lee (Eds.) "Hello, Culture!"  [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 438-453
summary The design inspired by nature is an ongoing issue from the past to the present. There are many design examples inspired from nature. Fractal geometry formation, which is focused on this study, is a system seen in nature. A model based on fractal growth principle was proposed for tile design. In this proposal made with using Visual Programming Language, a tiling design experiment placed in a hexagonal grid system was carried out. Thus, a base was created for tile designs to be made using the fractal principle. The results of the case study were evaluated and potential future studies were discussed.
keywords Fractals, Tile design, Biomimetic design, Algorithmic design
series CAAD Futures
email
last changed 2019/07/29 14:18

_id acadia19_630
id acadia19_630
authors Ahlquist, Sean
year 2019
title Expanding the Systematic Agencyof a Material System
doi https://doi.org/10.52842/conf.acadia.2019.630
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
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 acadia19_490
id acadia19_490
authors Alvarez, Martín; Wagner, Hans Jakob; Groenewolt, Abel; Krieg, Oliver David; Kyjanek, Ondrej; Sonntag, Daniel; Bechert, Simon; Aldinger, Lotte; Menges, Achim; Knippers, Jan
year 2019
title The Buga Wood Pavilion
doi https://doi.org/10.52842/conf.acadia.2019.490
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. 490-499
summary Platforms that integrate developments from multiple disciplines are becoming increasingly relevant as the complexity of different technologies increases day by day. In this context, this paper describes an integrative approach for the development of architectural projects. It portrays the benefits of applying such an approach by describing its implementation throughout the development and execution of a building demonstrator. Through increasing the agility and extending the scope of existing computational tools, multiple collaborators were empowered to generate innovative solutions across the different phases of the project´s cycle. For this purpose, novel solutions for planar segmented wood shells are showcased at different levels. First, it is demonstrated how the application of a sophisticated hollow-cassette building system allowed the optimization of material use, production time, and mounting logistics due to the modulation of the parameters of each construction element. Second, the paper discusses how the articulation of that complexity was crucial when negotiating between multiple professions, interacting with different contractors, and complying with corresponding norms. Finally, the innovative architectural features of the resulting building are described, and the accomplishments are benchmarked through comparison with typological predecessor.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:54

_id cf2019_054
id cf2019_054
authors Bae, Jiyoon and Daekwon Park
year 2019
title Weeping Brick The Modular Living Wall System Using 3D Printed Porous Ceramic Materials
source Ji-Hyun Lee (Eds.) "Hello, Culture!"  [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 437
summary The goal of this research is to design and fabricate a modular living wall brick system that purifies and cools air for various indoor environments. The research utilizes ceramic 3d printing techniques for fabrication; and living plants in conjunction with evaporative cooling techniques for indoor air quality control. The brick is made of soil which become porous after firing or drying. Water from the reservoirs slowly weep through the porous brick, creating a layer of water on the surface of the brick. The air movement around the saturated brick creates evaporative cooling and the hydro-seeded plants absorb water from the surface. The shape and texture of the Weeping Brick maximizes the cooling effect via large surface area. As an aggregated wall system, the water circulates from unit to unit by gravity through interconnected reservoirs embedded within each unit. The plants and moss transform the Weeping Brick into a living wall system, purifying and conditioning the indoor air.
keywords Living Wall System, Modular Brick, Ceramic 3D Printing, Evaporative Cooling
series CAAD Futures
email
last changed 2019/07/29 14:18

_id acadia19_208
id acadia19_208
authors Baghi, Ali; Baghi, Aryan; Kalantari, Saleh
year 2019
title FLEXI-NODE
doi https://doi.org/10.52842/conf.acadia.2019.207
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. 207-218
summary This paper is part of an ongoing research project on flexible molds for use in concrete fabrication. It continues and advances the concept of adjustable molds by creating a flexible system to produce a variety of concrete grid-joints. This reusable and adaptive mold streamlines the process of fabricating inherently diverse nodal joints without the need for cost-intensive mass-customization methods. The paper also proposes a novel way to cope with some of the significant drawbacks of similar mold techniques that have been explored and found wanting in similar projects. The technique used for the mold in the current research is inspired by a flexible mechanism that has been implemented in other manufacturing contexts, such as expansion joints and bendable straws. The outcomes of the project are a platform called “Flexi-node” and relevant software components that allow users to computationally design and fabricate a great variety of concrete joints for grid structures, using just one mold, with minimum material waste and no distortion from hydrostatic pressure.
keywords flexible molds, nodal joints, computational design, concrete fabrication, mass customization, grid structures
series ACADIA
type normal paper
email
last changed 2022/06/07 07:54

_id acadia19_80
id acadia19_80
authors Bouayad, Ghali
year 2019
title Three-Dimensional Translation of Japanese Katagami Patterns
doi https://doi.org/10.52842/conf.acadia.2019.080
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. 80-89
summary The aim of this ongoing doctoral research is to rely on the incommensurable potential held in Japanese Katagami patterns in order to translate them into three-dimensional speculative architectures and architectural components that afford architects other design approaches differentiated from systemic and typical space configurations. While many designers are diving in the generative and computational design world by developing new personal methods, we would like to recycle the existing production of Katagami patterns into three-dimensional architectural elements that will perpetuate work of Katagami artists beyond time, borders, and scope of applicability. Given that the current digital shift has given us more computation power, we are broadening Katagami with new fabrication strategies and new methods to explore, produce, and stock geometry and data. In this paper, we rely on the Processing library IGeo (developed by Satoru Sugihara) to build bottom-up agent-based algorithms to study the architectural potential of Katagami patterns as a top-down clean and simple initial topology that avoids imitation of standard templates applied during the process of configuring and planning architectural space.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:54

_id caadria2019_396
id caadria2019_396
authors Cao, Rui, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year 2019
title Quantifying Visual Environment by Semantic Segmentation Using Deep Learning - A Prototype for Sky View Factor
doi https://doi.org/10.52842/conf.caadria.2019.2.623
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. 623-632
summary Sky view factor (SVF) is the ratio of radiation received by a planar surface from the sky to that received from the entire hemispheric radiating environment, in the past 20 years, it was more applied to urban-climatic areas such as urban air temperature analysis. With the urbanization and the development of cities, SVF has been paid more and more attention on as the important parameter in urban construction and city planning area because of increasing building coverage ratio to promote urban forms and help creating a more comfortable and sustainable urban residential building environment to citizens. Therefore, efficient, low cost, high precision, easy to operate, rapid building-wide SVF estimation method is necessary. In the field of image processing, semantic segmentation based on deep learning have attracted considerable research attention. This study presents a new method to estimate the SVF of residential environment by constructing a deep learning network for segmenting the sky areas from 360-degree camera images. As the result of this research, an easy-to-operate estimation system for SVF based on high efficiency sky label mask images database was developed.
keywords Visual environment; Sky view factor; Semantic segmentation; Deep learning; Landscape simulation
series CAADRIA
email
last changed 2022/06/07 07:54

_id ecaadesigradi2019_407
id ecaadesigradi2019_407
authors Capone, Mara, Lanzara, Emanuela, Marsillo, Laura and Nome Silva, Carlos Alejandro
year 2019
title Responsive complex surfaces manufacturing using origami
doi https://doi.org/10.52842/conf.ecaade.2019.2.715
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. 715-724
summary Contemporary architecture is considered a dynamic system, capable of adapting to different needs, from environmental to functional ones. The term 'Adaptable Architecture' describes an architecture from which specific components can be changed in relation to external stimuli. This change could be executed by the building system itself, transformed manually or it could be any other ability to be transformed by external forces (Leliveld et al.2017). Adaptability concept is therefore linked to motion and to recent advances in kinetic architecture. In our research we are studying the rules that we can use to design a kinetic architecture using origami. Parametric design allows us to digitally simulate the movement of origami structures, we are testing algorithmic modeling to generate doubly curvature surfaces starting from a designed surface and not from the process. Our main goal is to study the relationship between geometry, motion and shape. We are interested, in particular, in complex surface manufacture using origami technique to design a kinetic and reactive ceiling.
keywords Origami; complex surface manufacture; responsive architecture; Applied Geometry
series eCAADeSIGraDi
email
last changed 2022/06/07 07:54

_id caadria2020_093
id caadria2020_093
authors Cerovsek, Tomo and Martens, Bob
year 2020
title The Evolution of CAADRIA Conferences - A Bibliometric Approach
doi https://doi.org/10.52842/conf.caadria.2020.1.325
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
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 ecaadesigradi2019_350
id ecaadesigradi2019_350
authors Cheng, Chi-Li and Hou, June-Hao
year 2019
title A highly integrated Horizontal coordinate-based tool for architecture
doi https://doi.org/10.52842/conf.ecaade.2019.3.305
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. 305-312
summary In this research, we attempt to develop a tool which integrates certain common geographic information from OpenStreetMap and OpenTopography into Grasshopper. We name it as OSMKIT temporarily. Besides, in order to make the integration in the design process easier, this tool includes the bilateral conversion function of coordinate in Rhinoceros 3D and the coordinate of the World Geodetic System. These characteristics bring about several possibilities for further usage. This paper contains explanations of functions and examples. For instance, it can be employed for data visualization on a map when these data contain coordinate information. Additionally, since this tool is simple and intuitive to convert points into GPS coordinates, it can make users plan drone for photogrammetry and deal with other related tasks on the rhinoceros 3D interface, helping them to gain most current urban models. Moreover, architects or designers can be not only users but also contributors for open source map system such as OpenStreetMap; the process of sharing the mode which user measure is demonstrated in this paper. To sum up, this coordinate system based tool is designed to be multifunctional and suitable for interdisciplinary usages in grasshopper.
keywords open-source maps; data visualization; geographic information system; urban research; parametric design; interdisciplinary
series eCAADeSIGraDi
email
last changed 2022/06/07 07:55

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