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	ijac201917403
id	ijac201917403
authors	Alva, Pradeep; Patrick Janssen and Rudi Stouffs
year	2019
title	Geospatial tool-chains: Planning support systems for organisational teams
source	International Journal of Architectural Computing vol. 17 - no. 4, 336-356
summary	In practice, most planners do not make significant use of planning support systems. Although extensive research has been conducted, the focus tends to be on supporting individual tasks, and the outcomes are often the development of new stand-alone tools that are difficult to integrate into existing workflows. The knowledge contribution in this article focuses on developing a novel spatial decision support framework focusing on the workflows and tool-chains that span across different teams with varying skill sets and objectives, within an organisation. In the proposed framework, the core decision-making process uses a set of decision parameters that are combined using a weighted decision tree. The framework is evaluated by developing and testing a workflow and GIS tool-chain for a real-world case study of land suitability and mixed-use potentiality analysis.
keywords	GIS, SDSS, PSS, planning automation, TOD, raster geoprocessing, data analytics, geoinformatics
series	journal
email
last changed	2020/11/02 13:34

_id	ecaadesigradi2019_273
id	ecaadesigradi2019_273
authors	Hadighi, Mahyar and Duarte, Jose
year	2019
title	Using Grammars to Trace Architectural Hybridity in American Modernism - The case of William Hajjar single-family house
doi	https://doi.org/10.52842/conf.ecaade.2019.1.529
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. 529-540
summary	In this paper, mid-century modern single-family houses designed by William Hajjar are analyzed through a shape grammar methodology within the context of the traditional architecture of an American college town. A member of the architecture faculty at the Pennsylvania State University, Hajjar was a practitioner in State College, PA, where the University Park campus is located, and an influential figure in the history of architecture in the area. The residential architecture he designed for and built in the area incorporates many of the formal and functional features typical of both modern European architecture and traditional American architecture. Based on a computational methodology, this study offers an investigation into this hybridity phenomenon by exploring Hajjar's architecture in relation to the traditional American architecture prevalent in the college town of State College.
keywords	shape grammar; American architecture; William Hajjar; hybridity; college town
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:49

_id	caadria2025_130
id	caadria2025_130
authors	Shen, Yanting, Wang, Xiaotong, Lin, Chen-Hsiang, Li, Shuyang, Pei, Wanyu and Stouffs, Rudi
year	2025
title	Forecasting Future Construction Demands: A Deep Learning approach for material stock circularity analysis of Singapore residential buildings
source	Dagmar Reinhardt, Nicolas Rogeau, Christiane M. Herr, Anastasia Globa, Jielin Chen, Taro Narahara (eds.), ARCHITECTURAL INFORMATICS - Proceedings of the 30th CAADRIA Conference, Tokyo, 22-29 March 2025, Volume 3, pp. 499–508
summary	Exploring sustainable urban development models for building material recycling is essential to achieving net-zero emissions. This study develops a Building Material Stock (BMS) prediction model, focusing on concrete and steel, and maps embodied carbon by identifying geographic hotspots for material recycling and flow. Specifically, to predict future demolition and construction trends at Singapore’s Housing Development Board (HDB), a Generative Adversarial Network (GAN)-based model is utilised to generate distributional images of HDB developments. A categorised map of construction sites from 2019 is used as input to generate the predicted public housing layout for 2024. These predictions are then integrated with material intensity (MI) and carbon emission factors to estimate floor area requirements and potential construction activity locations for future HDB projects. This approach establishes a closed-loop system aligned with the Sustainable Development Goals (SDGs), supporting material inventory and flow management, enhancing resource reuse efficiency, and mitigating urban development’s environmental impact. Moreover, the findings provide valuable insights for the Singapore government and industry organisations to expand the adoption of PPVC technology and circular economy practices in HDB development.
keywords	Material stock modelling, Material flow analysis, Residential construction, Embodied carbon, Deep learning
series	CAADRIA
email
last changed	2025/04/18 12:27

_id	ecaadesigradi2019_150
id	ecaadesigradi2019_150
authors	Thomsen, Mette, Nicholas, Paul, Tamke, Martin, Gatz, Sebastian and Sinke, Yuliya
year	2019
title	Predicting and steering performance in architectural materials
doi	https://doi.org/10.52842/conf.ecaade.2019.2.485
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. 485-494
summary	This paper presents the prototyping of new methods by which functionally graded materials can be specified and produced. The paper presents a case study exploring how machine learning can be used to train a model in order to predict fabrication files from formalised design requirements. By using knit as a model for material fabrication, the paper outlines the making of new cyclical design methods employing machine learning in which simpler prototypical materials acts as input for more complex graded materials. A case study - Ombre - showcases the implementation of this workflow and results and perspectives are discussed.
keywords	computational design; material specification; machine learning; convolution algorithm; knit
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	caadria2019_005
id	caadria2019_005
authors	Alva, Pradeep, Janssen, Patrick and Stouffs, Rudi
year	2019
title	A Spatial Decision Support Framework For Planning - Creating Tool-Chains for Organisational Teams
doi	https://doi.org/10.52842/conf.caadria.2019.2.011
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. 11-20
summary	In practice, most planners do not make significant use of planning support systems. Although significant research has been conducted, the focus tends to be on supporting individual tasks, and the outcomes are often the development of new stand-alone tools that are difficult to integrate into existing workflows. The knowledge contribution in this paper focuses on developing a novel spatial decision support framework focusing on the workflows and tool-chains that span across different teams within an organisation, with varying skill sets and objectives. In the proposed framework, the core decision-making process uses set decision parameters that are combined using a weighted decision tree. The framework is evaluated by developing and testing tool-chains for a real-world land suitability case study. The tool-chain was implemented on top of a GIS platform.
keywords	GIS SDSS PSS; Planning Automation; Geoprocessing; Data Analytics; Geoinformatics
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2020_426
id	caadria2020_426
authors	Goepel, Garvin and Crolla, Kristof
year	2020
title	Augmented Reality-based Collaboration - ARgan, a bamboo art installation case study
doi	https://doi.org/10.52842/conf.caadria.2020.2.313
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 313-322
summary	ARgan is a geometrically complex bamboo sculpture that relied on Mixed Reality (MR) for its joint creation by multiple sculptors and used latest Augmented Reality (AR) technology to guide manual fabrication actions. It was built at the Chinese University of Hong Kong in the fall of 2019 by thirty participants of a design-and-build workshop on the integration of AR in construction. As part of its construction workflow, holographic setups were created on multiple devices, including a series of Microsoft HoloLenses and several handheld Smartphones, all linked simultaneously to a single digital base model to interactively guide the manufacturing process. This paper critically evaluates the experience of extending recent AR and MR tool developments towards applications that centre on creative collaborative production. Using ARgan as a demonstrator project, its developed workflow is assessed on its ability to transform a geometrically complex digitally drafted design to its final physically built form, highlighting the necessary strategic integration of variability as an opportunity to relax notions on design precision and exact control. The paper concludes with a plea for digital technology's ability to stimulate dialogue and collaboration in creative production and augment craftsmanship, thus providing greater agency and more diverse design output.
keywords	Augmented-Reality; Mixed-Reality; Post-digital; High-tech vs low-tech; Bamboo
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_218
id	ecaadesigradi2019_218
authors	Grasser, Alexander
year	2019
title	Towards an Architecture of Collaborative Objects
doi	https://doi.org/10.52842/conf.ecaade.2019.1.325
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. 325-332
summary	Towards an Architecture of Collaborative Objects, explores the potential of playing with Collaborative Objects in real, augmented and mixed realities. A multi-player game platform App: VoxelCO, developed by the author, provides a speculative playground to research, the interaction with objects, things and people, as well as provokes new opportunities to engage deeply with its content and context. Furthermore, VoxelCO, reveals new modes of participation, to design and collaborate in real-time with augmented reality, using millennial tools: mobile devices. A case study project, the VoxelStage, offered an opportunity to apply VoxelCO to design a stage together with a group of students. To merge the collaboratively aggregated virtual objects of VoxelCO with reality, real WireCubes were augmented and assembled, proposing an architecture of socially augmented fuzzy formations.
keywords	Collaborative Objects; Augmented Reality; Realtime; Fuzzy; Play
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	caadria2019_134
id	caadria2019_134
authors	Li, Yunqin, Zhang, Jiaxin and Yu, Chuanfei
year	2019
title	Intelligent Multi-Objective Optimization Method for Complex Building Layout based on Pedestrian Flow Organization - A case study of People's Court building in Anhui, China
doi	https://doi.org/10.52842/conf.caadria.2019.1.271
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. 271-280
summary	The pedestrian flow of the building influences and determines the layout of the building's plan. For buildings with complex flow such as courts, airports, and stations, mixed flow line and low traffic efficiency are prone to be problems. However, the optimization of the layout of complex flow buildings usually relies on the architect's experience to judge and trials to improve. To overcome these problems, we attempt to establish a parametric model of buildings' plan (taking a typical court building as an example) with information about the different pedestrian flow and functional groups. Based on the Rhino and Grasshopper platform, we take the minimum of different pedestrian flow path length and the maximum of total spatial integration value and the minimum of total spatial entropy value as the starting point, combines pathfinding algorithm, Space Syntax and multi-objective genetic algorithm to optimize space allocation. The result shows that, compared with the original scheme, the intelligent optimised scheme can reduce the spatial waste caused by improper flow organisation, effectively improve space transportation capacity and spatial organization efficiency.
keywords	Intelligent optimisation; space allocation; multi-objective optimization algorithm; Space Syntax; pathfinding algorithm
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	cf2019_033
id	cf2019_033
authors	Soltani, Sahar; Ning Gu, Jorge Ochoa Paniagua, Alpana Sivam and Tim McGinley
year	2019
title	Investigating the Social Impacts of Highdensity Neighbourhoods through Spatial Analysis
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 255
summary	Studies argue that higher density areas incur social problems such as lack of safety [1], while other studies provide evidence for the positive impact of high-density urban areas, for instance opportunities for social interactions and equal form of accessibility [2]. This paper argues that design factors can mediate the impacts of density on social aspects. Therefore, this study explores the extent to which design factors can be correlated to the social outcomes of different density areas. To do this, data from an empirical study conducted in the UK, which identified the relationship between density and social sustainability through cases of fifteen neighbourhoods, have been utilised. This paper has conducted further analysis based on these cases using a mixed method with spatial analysis tools. Outcomes show that some of the social results in the UK study such as safety are correlated with spatial factors like normalised angular choice. Moreover, the regression model created from the spatial indices can be used to predict the overall social sustainability index reported by the UK study.
keywords	Urban Density, Social Sustainability, Spatial Analysis, Space Syntax, Urban Network Analysis
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	ecaadesigradi2019_197
id	ecaadesigradi2019_197
authors	Diarte, Julio, Vazquez, Elena and Shaffer, Marcus
year	2019
title	Tooling Cardboard for Smart Reuse - Testing a Parametric Tool for Adapting Waste Corrugated Cardboard to Fabricate Acoustic Panels and Concrete Formwork.
doi	https://doi.org/10.52842/conf.ecaade.2019.2.769
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. 769-778
summary	The study presented in this paper is part of ongoing research that is exploring how digital design tools and technologies can support waste cardboard reuse for manufacturing architectural elements in a context of scarcity. For this study, we explore the use of a parametric design tool to design and fabricate three different architectural components using waste cardboard sheets: acoustic panels and two types of formwork for concrete. This design tool maximizes the smart reuse of a waste material and aids in the fabrication process by outputting instructions for cutting, scoring, and folding. This paper also demonstrates how parametric design tools can help reuse non-standard (dimensions variable) waste materials, mediating between measurable material conditions and desired material targets for designs.
keywords	Cardboard Architecture; Reusing Waste Cardboard; Material Reuse Processes; Parametric Design Tools
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_665
id	ecaadesigradi2019_665
authors	Duque Estrada, Rebeca, Wyller, Maria and Dahy, Hanaa
year	2019
title	Aerochair - Integrative design methodologies for lightweight carbon fiber furniture design
doi	https://doi.org/10.52842/conf.ecaade.2019.1.691
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. 691-700
summary	Carbon fiber composites embody lightweight and strength and is a well-integrated material in various fields of engineering. In spite of its excellent material properties, it is not frequently found in architecture and design applications. In this project, the intention is to research how the material's most prominent qualities can be applied to create a lightweight furniture design. The furniture object was chosen as an example of a small architectural component with a structural capacity of holding a human body weight between 60-90 Kg. In particular, carbon fiber composites display an impressive tensile strength, and with the aim of exploring this feature, a case-study of a full-scale, hanging carbon chair was conducted. To develop a design, optimize it and realize it, an integrated design and fabrication process was developed. It combined material research, computational design, and a novel fabrication method for filament materials.
keywords	carbon fiber composites; computational design; lightweight furniture; chair design; fiber winding
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	caadria2019_211
id	caadria2019_211
authors	Globa, Anastasia, Wang, Rui and Beza, Beau B.
year	2019
title	Sensory Urbanism and Placemaking - Exploring Virtual Reality and the Creation of Place
doi	https://doi.org/10.52842/conf.caadria.2019.2.737
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. 737-746
summary	Sensory Urbanism is an experimental prototyping project exploring the potential of immersive Virtual Reality (VR) environments to support the incorporation of sensory and intangible aspects of place. The study investigates how sensory exploration of urban places can be integrated into decision making regarding the future of cities. In the past, numerous studies reported various sophisticated 'livability' measures, deeming to determine what makes a city a great place to live in. While a part of these measures can be quantified and be represented as text, graphs or images, most of the qualitative aspects of place are inherently abstract and sensory. These aspects have to be experienced to be understood and therefore they are extremely difficult to communicate using conventional representation means. The proposition explored in this study is that the increasing ubiquity of VR and Augmented Reality (AR) technologies can provide new opportunities to engage with the multi-sensory and temporal aspects of urban place. A mixed media approach was adopted, tapping into a temporal dimension as well as visual, aural and kinesthetic range of human senses. The paper reports on the development of the VR sensory urbanism prototype and the initial pilot study that demonstrated the proof-of-concept.
keywords	Sensory Urbanism; Immersive Environments; Virtual Reality; Design Evaluation; Placemaking
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2019_626
id	caadria2019_626
authors	Hahm, Soomeen, Maciel, Abel, Sumitiomo, Eri and Lopez Rodriguez, Alvaro
year	2019
title	FlowMorph - Exploring the human-material interaction in digitally augmented craftsmanship
doi	https://doi.org/10.52842/conf.caadria.2019.1.553
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. 553-562
summary	It has been proposed that, after the internet age, we are now entering a new era of the '/Augmented Age/' (King, 2016). Physician Michio Kaku imagined the future of architects will be relying heavily on Augmented Reality technology (Kaku, 2015). Augmented reality technology is not a new technology and has been evolving rapidly. In the last three years, the technology has been applied in mainstream consumer devices (Coppens, 2017). This opened up possibilities in every aspect of our daily lives and it is expected that this will have a great impact on every field of consumer's technology in near future, including design and fabrication. What is the future of design and making? What kind of new digital fabrication paradigm will emerge from inevitable technological development? What kind of impact will this have on the built environment and industry? FlowMorph is a research project developed in the Bartlett School of Architecture, B-Pro AD with the collaboration of the authors and students as a 12 month MArch programme, we developed a unique design project trying to answer these questions which will be introduced in this paper.
keywords	Augmented Reality, Mixed Reality, Virtual Reality, Design Augmentation, Digital Fabrication, Cognition models, Conceptual Designing, Design Process, Design by Making, Generative Design, Computational Design, Human-Machine Collaboration, Human-Computer Collaboration, Human intuition in digital fabrication
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	acadia23_v2_340
id	acadia23_v2_340
authors	Huang, Lee-Su; Spaw, Gregory
year	2023
title	Augmented Reality Assisted Robotic: Tube Bending
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 340-349.
summary	The intent of this research is to study potential improvements and optimizations in the context of robotic fabrication paired with Augmented Reality (AR), leveraging the technology in the fabrication of the individual part, as well as guiding the larger assembly process. AR applications within the Architecture, Engineering, and Construction (AEC) industry have seen constant research and development as designers, fabricators, and contractors seek methods to reduce errors, minimize waste, and optimize efficiency to lower costs (Chi, Kang, and Wang 2013). Recent advancements have made the technology very accessible and feasible for use in the field, as demonstrated by seminal projects such as the Steampunk Pavilion in Tallinn, Estonia (Jahn, Newnham, and Berg 2022). These types of projects typically improve manual craft processes. They often provide projective guidelines, and make possible complex geometries that would otherwise be painstakingly slow to complete and require decades of artisanal experience (Jahn et al. 2019). Building upon a previously developed robotic tube bending workflow, our research implements a custom AR interface to streamline the bending process for multiple, large, complex parts with many bends, providing a pre-visualization of the expected fabrication process for safety and part-verification purposes. We demonstrate the utility of this AR overlay in the part fabrication setting and in an inadvertent, human-robot, collaborative process when parts push the fabrication method past its limits. The AR technology is also used to facilitate the assembly process of a spatial installation exploring a unique aesthetic with subtle bends, loops, knots, bundles, and weaves utilizing a rigid tube material.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	ecaadesigradi2019_504
id	ecaadesigradi2019_504
authors	Karagianni, Anna, Geropanta, Vasiliki and Parthenios, Panagiotis
year	2019
title	Exploring the ICT Potential to Maximize User - Built Space Interaction in Monumental Spaces - The case of the municipal agora in Chania, Crete
doi	https://doi.org/10.52842/conf.ecaade.2019.2.603
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. 603-610
summary	During the last two decades, the introduction of digital multimedia into the museums, monuments and exhibition spaces describe a new open and flexible institution, which is attentive to the needs of its visitors. In fact, many different opinions, preferences and personalized agendas acquire now a symbiotic relationship with the strict archeological site contexts with ICT. This relationship is established the moment that the actual space comes into terms with the visitors' needs and without compromising spatially, it reveals all the different movement alternatives that could satisfy the visitor. In fact, ICTs create alternative experiences through the juxtaposition of a digital layer on physical space. Drawing on this objective, this paper studies the relation between user and monument by enhancing their interaction in the Municipal Market of Chania, in Crete. The objective of the paper is to examine how state-of-the-art IoT systems can be seamlessly incorporated into the smart cultural heritage strategy of the suggested place. The macroscope is to explore alternatives strategies to enhance sustainable tourism in Chania.
keywords	ICT; Digital Heritage; Smart Tourism; IoT Systems; Hybrid Space;
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	ecaadesigradi2019_506
id	ecaadesigradi2019_506
authors	Kontovourkis, Odysseas, Georgiou, Christos, Stroumpoulis, Andreas, Kounnis, Constantinos, Dionyses, Christos and Bagdati, Styliana
year	2019
title	Implementing Augmented Reality for the Holographic Assembly of a Modular Shading Device
doi	https://doi.org/10.52842/conf.ecaade.2019.3.149
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. 149-158
summary	The development of innovative digital design and fabrication tools for material processing and manufacturing of complex and non-standard forms, apart from their advantages, have brought a number of challenges. These might be related to the effectiveness and sustainable potential of implementation associated with environmental, cost and time-related parameters, particularly in cases of large number of elements construction and complex assembly. Augmented Reality (AR) is an emerging technology with great potential for implementation in the construction industry, since it can enhance the real world with additional digital information, and thus, can assist towards manufacture and assemble of these particular systems. This study presents an AR methodology for assembling a modular shading device and discusses the advantages and disadvantages that this application can bring to the Architecture, Engineering and Construction (AEC) industry by taking into account precision and construction time issues based on the handling of the process by skilled and unskilled users/workers. Our aim is to investigate the potential implementation of AR in the assembly, and consequently, in the construction process as a whole. Also, this study aims at exploring existing constraints of the technology and suggests ways of improvement.
keywords	Augmented Reality; Holographic assembly; Modular system; Shading device
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	sigradi2023_416
id	sigradi2023_416
authors	Machado Fagundes, Cristian Vinicius, Miotto Bruscato, Léia, Paiva Ponzio, Angelica and Chornobai, Sara Regiane
year	2023
title	Parametric environment for internalization and classification of models generated by the Shap-E tool
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1689–1698
summary	Computing has been increasingly employed in design environments, primarily to perform calculations and logical decisions faster than humans could, enabling tasks that would be impossible or too time-consuming to execute manually. Various studies highlight the use of digital tools and technologies in diverse methods, such as parametric modeling and evolutionary algorithms, for exploring and optimizing alternatives in architecture, design, and engineering (Martino, 2015; Fagundes, 2019). Currently, there is a growing emergence of intelligent models that increasingly integrate computers into the design process. Demonstrating great potential for initial ideation, artificial intelligence (AI) models like Shap-E (Nichol et al., 2023) by OpenAI stand out. Although this model falls short of state-of-the-art sample quality, it is among the most efficient orders of magnitude for generating three-dimensional models through AI interfaces, offering practical balance for certain use cases. Thus, aiming to explore this gap, the presented study proposes an innovative design agency framework by employing Shap-E connected with parametric modeling in the design process. The generation tool has shown promising results; through generations of synthetic views conditioned by text captions, its final output is a mesh. However, due to the lack of topological information in models generated by Shap-E, we propose to fill this gap by transferring data to a parametric three-dimensional surface modeling environment. Consequently, this interaction's use aims to enable the transformation of the mesh into quantifiable surfaces, subject to collection and optimization of dimensional data of objects. Moreover, this work seeks to enable the creation of artificial databases through formal categorization of parameterized outputs using the K-means algorithm. For this purpose, the study methodologically orients itself in a four-step exploratory experimental process: (1) creation of models generated by Shap-E in a pressing manner; (2) use of parametric modeling to internalize models into the Grasshopper environment; (3) generation of optimized alternatives using the evolutionary algorithm (Biomorpher); (4) and classification of models using the K-means algorithm. Thus, the presented study proposes, through an environment of internalization and classification of models generated by the Shap-E tool, to contribute to the construction of a new design agency methodology in the decision-making process of design. So far, this research has resulted in the generation and classification of a diverse set of three-dimensional shapes. These shapes are grouped for potential applications in machine learning, in addition to providing insights for the refinement and detailed exploration of forms.
keywords	Shap-E, Parametric Design, Evolutionary Algorithm, Synthetic Database, Artificial Intelligence
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	ecaadesigradi2019_330
id	ecaadesigradi2019_330
authors	Markkanen, Piia, van Berkel, Niels, Visuri, Aku, LeSaint, Arthur, Ferreira, Denzil and Herneoja, Aulikki
year	2019
title	Exploring Work Environment Usage Behaviour through Context-Aware Mobile Methods
doi	https://doi.org/10.52842/conf.ecaade.2019.2.837
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. 837-846
summary	This paper presents our findings on knowledge work environment usage behaviour through a combined automated mobile indoor positioning system and self-reports collected from the environment's inhabitants. Contemporary work environments are increasingly flexible multi-occupant environments as opposed to cellular offices. Understanding persons' task-related and situation-related environmental needs is critical to improve the design of future knowledge work environments. This study is conducted in a team office environment prior to and following an intervention in which the office layout was re-organized. The combined methodological approach described in this paper provides a new tool for architecture researchers aiming to understand the use of workspaces. Importantly, combining self-reports with context-aware location data collection provides researchers an efficient in situ tool to access participants experiences and decision-making process in choosing their workstation or workspace.
keywords	knowledge work environment; team office; activity-based work environment; experience sampling method; research-by-design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	caadria2019_646
id	caadria2019_646
authors	van Ameijde, Jeroen
year	2019
title	Non-Standard Housing - Exploring Generative Design Strategies for Differentiated Residential Projects
doi	https://doi.org/10.52842/conf.caadria.2019.2.241
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. 241-250
summary	This paper presents arguments and experiences around generative design applied to housing, combining the potential of computational tools with an agenda to increase internal differentiation. It argues for a more varied and mixed approach to the clustering of apartment types and building typologies to increase the social diversity within projects and in relation to this, the sustainability and resilience of urban environments towards future societal changes. Through the discussion of two residential projects operating at different scales, it is shown how carefully calibrated complexity can be introduced in the design process, communicating with clients and collaborators and keeping the complexity of the workflow minimised. It is argued that this avenue of work points to significant opportunities to rethink how computational architectural and urban design processes can be linked to social sciences and a more human-centred approach within the understanding of performance of the built environment.
keywords	Generative Design Methodologies; Urban Planning and Design; Housing; Generative Architectural Design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2019_099
id	caadria2019_099
authors	Xu, Jianan and Li, Biao
year	2019
title	Application of Case-Based Methods and Information Technology in Urban Design - The Renewal Design of the urban region around Roma Railway Station
doi	https://doi.org/10.52842/conf.caadria.2019.1.625
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. 625-634
summary	The research explores the application of the case-based design methods and information technology in urban design by processing OpenStreetMap (OSM) database. Taking the renewal design of the area around the Roma Termini Railway Station as an example, the research has following two purposes. One is to update the abandoned area from the point of view of building function, the other is to design the flyovers connecting the railway station with the pedestrian path simulation. Both of them aim at exploring new methods of urban renewal design by using map information data and providing reference cases for designers.
keywords	Urban Design; Generative Design; Case Base; Procedural Modeling
series	CAADRIA
email
last changed	2022/06/07 07:57

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