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	ecaade2022_195
id	ecaade2022_195
authors	Garcia, Sara and Leitao, António
year	2022
title	Interfaces for Design Space Exploration
doi	https://doi.org/10.52842/conf.ecaade.2022.1.331
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 331–340
summary	A Generative Design System (GDS) allows for the generation and exploration of a wide number of design alternatives and for the automation of analysis and optimization processes. Algorithmic Design (AD) tools effectively support the development of GDSs, but they tend to be less appealing for the usage of such systems, as they rely on complex algorithmic descriptions of the design that quickly become overwhelming for less experienced programmers. The usage of GDSs is facilitated by Design Space Exploration Interfaces (DSEIs), which allows users to iteratively explore, visualize, and select design alternatives among the multidimensional design space defined by the GDS. DSEIs promote the collaboration between designers, clients, and end-users, making GDSs more interactive and more accessible. DSEIs rely on graphical user interfaces that relieve users from the burden of dealing with AD programs. The creation of such interfaces can be automated, so that they can be quickly created and modified. Although AD-based DSEIs exist for at least three decades, they have been more intensively researched and commercialized over the past eight years. In this article, existing AD-based DSEIs are reviewed, characterized, and compared according to several criteria, such as: navigation, visualization, search, ranking, grouping, filtering, and selection techniques. From this comparative study, a set of guidelines for the development of DSEIs is proposed.
keywords	Design Space Exploration, Algorithmic Design, Graphical User Interface, Data Visualization
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ijac202220202
id	ijac202220202
authors	Garcia, Sara; António Leitao
year	2022
title	Navigating Design Spaces: Finding Designs, Design Collections, and Design Subspaces
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 176–195
summary	Generative design systems can generate a wide panoply of solutions, from which designers search for those thatbest suit their interests. However, without guidance, this search can be highly inefficient, and many interestingsolutions may remain unexplored. This problem is mitigated with automated exploration methods. Still, the onestypically provided by generative design tools are mostly based on black-box methods that drastically reduce therole of the designer, while more straightforward white-box mechanisms are dispersedly found in specificapplications. This paper proposes the Navigator tool, which gathers a set of white-box mechanisms that automate the generation of default, random, similar and hybrid designs and design subspaces, while also supportingthe generation of design collections. The proposed mechanisms were tested with two generative systems thatcreate, respectively, tower and chair designs. We expect that, by providing understandable mechanisms fornavigating design spaces, designers can become more engaged in the search process
keywords	Generative design, design space exploration, randomness, hybridity, similarity
series	journal
last changed	2024/04/17 14:29

_id	ecaade2022_250
id	ecaade2022_250
authors	Garcia del Castillo y Lopez, Jose L.
year	2022
title	The Digital Touch - Towards novel modeling frameworks for robotically-enhanced marble sculpting
doi	https://doi.org/10.52842/conf.ecaade.2022.1.037
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 37–46
summary	In this paper, two case studies on digital modeling for robotically-enabled marble carving are presented. In the first one, an interactive, gesture-based modeling framework was developed to sculpt a large, undulating and ultra-thin marble surface. On the second one, an integrated 3D-scanning-to-milling solution was created, in order to groove a superficial pattern on the surface of a discarded marble boulder. The cases evidence the power of tangible interaction to serve as input to novel digitally-aided marble sculpting processes, and the capacity of integrated generative design workflows to create consistent solutions to variable conditions, in this case, with a particular focus on sustainability and reclaiming of scrap materials.
keywords	Robotic Fabrication, Generative Design, Modeling, Sculpting
series	eCAADe
email
last changed	2024/04/22 07:10

_id	sigradi2022_66
id	sigradi2022_66
authors	Garcia-Alvarado, Rodrigo; Banda Perez, Pablo; Moroni Orellana, Ginnia
year	2022
title	Architectural Diversity of Residential Buildings through Digital Design and Robotic Construction
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 957–966
summary	The housing demand in Latin America has promoted to build big complexes with repetitive designs to ensure their execution and commercialization, but neglecting the differences in occupation, cultures, ages, abilities, genders, climates and locations. Producing low quality, environmental deterioration and social alienation. This work exposes a parametric programming and robotic construction strategy to develop a varied residential process. Based on structural volumes and 3d-printed walls, to provide a diversity of housing configurations. The modular generation of volumes and development of the envelope is programmed to meet various thermal and occupational conditions, with printing trajectories for the walls according to the equipment, execution processes and material capacities. A repertoire of 494 residential volumes has been defined and prototype walls have been made, suggesting an innovative design system, wich provides a new paradigm for housing construction with digital technologies and robotic execution to diversify residential quality.
keywords	Inclusive Design, Housing, Parametric Design, Robotics, Digital Fabrication
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	caadria2022_279
id	caadria2022_279
authors	Kim, Dongyun, Guida, George and Garcia del Castillo y Lopez, Jose Luis
year	2022
title	PlacemakingAI : Participatory Urban Design with Generative Adversarial Networks
doi	https://doi.org/10.52842/conf.caadria.2022.2.485
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 485-494
summary	Machine Learning (ML) is increasingly present within the architectural discipline, expanding the current possibilities of procedural computer-aided design processes. Practical 2D design applications used within concept design stages are however limited by the thresholds of entry, output image fidelity, and designer agency. This research proposes to challenge these limitations within the context of urban planning and make the design processes accessible and collaborative for all urban stakeholders. We present PlacemakingAI, a design tool made to envision sustainable urban spaces. By converging supervised and unsupervised Generative Adversarial Networks (GANs) with a real-time user interface, the decision-making process of planning future urban spaces can be facilitated. Several metrics of walkability can be extracted from curated Google Street View (GSV) datasets when overlayed on existing street images. The contribution of this framework is a shift away from traditional design and visualization processes, towards a model where multiple design solutions can be rapidly visualized as synthetic images and iteratively manipulated by users. In this paper, we discuss the convergence of both a generative image methodology and this real-time urban prototyping and visualization tool, ultimately fostering engagement within the urban design process for citizens, designers, and stakeholders alike.
keywords	Machine Learning, Generative Adversarial Networks, user interface, real-time, walkability, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_472
id	caadria2022_472
authors	Perry, Gabriella and Garcia del Castillo y Lopez, Jose Luis
year	2022
title	Droop ‚ An Iterative Design Tool for Material Draping
doi	https://doi.org/10.52842/conf.caadria.2022.2.283
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 283-292
summary	Advances in large-scale 3D printing technology have opened up explorations on novel non-solid, non-layered 3D printing techniques such as spatial lattices and material draping. These new printing techniques have potential to reduce the wasted material from printing support structures and optimize overall material use. However, due to the inherent material unpredictability of many of these systems, they are often difficult to approximate with digital tools, often requiring simple trial and error to achieve a specific result, with the consequent waste of time and resources. Droop is a work in progress material-informed simulation environment that serves as an iterative design tool for material draping fabrication processes. Droop explores the material potential of thermoplastics through the fabrication process of robotic draping to achieve complex linked catenary forms. This bespoke simulation environment approximates the spatial form of a material draping process and serves as a useful iterative design tool that allows designers to better understand and predict how a 2D pattern translates into a 3D droop form. The simulation also reduces the amount of wasted material produced by trial-and-error material draping processes. In this paper, we present the digital simulation framework, discuss methods for material-informed calibration, and show a set of experiments produced with this tool.
keywords	Material Draping, Physics Simulation, Additive Manufacturing, Robotic Fabrication, Catenary Geometry, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2022_164
id	sigradi2022_164
authors	Rodriguez Cortez, Fernando Hernan; Gatica Laurie, Braulio Alfonso; Garcia-Alvarado, Rodrigo
year	2022
title	Hydrological recovery of the landscape through generative design.
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 1113–1122
summary	The climate crisis confronts us with global scenarios of water deficiency, which leads us to optimize rainwater harvesting (RWH) methods applied to landscapes. These are sophisticated projects with high technical investment per hectare designed and executed. Therefore, to balance the cost of engineering, through advanced digital design tools, it has become an objective to use landscape architecture as a resource for mitigating water deficit and climate change. In order to restore the relationship between the natural and built environment through virtual processing. This work exposes a new geometric analysis methodology, verified in a case study, which applies generative parametric programming to increase the water capacity of a natural landscape. This work demonstrates the potential of digital design for the ecological recovery of the territory.
keywords	Smart Cities and Environments, Sustainable Design, Generative Design, Mixed realities, hydrological design
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	caadria2022_297
id	caadria2022_297
authors	Zhou, Margaret Z., Chen, Shi Yu and Garcia del Castillo y Lopez, Jose Luis
year	2022
title	Elemental Motion in Spatial Interaction (EMSI): A Framework for Understanding Space through Movement and Computer Vision
doi	https://doi.org/10.52842/conf.caadria.2022.1.505
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 505-514
summary	Spatial analysis and evaluation are becoming increasingly common as new technologies enable users, designers, and researchers to study spatial motion patterns without relying on manual notations for observations. While ideas related to motion and space have been studied in other fields such as industrial engineering, choreography, and computer science, the understanding of efficiency and quality in architectural spaces through motion has not been widely explored. This research applies techniques in computer vision to analyse human body motion in architectural spaces as a measure of experience and engagement. A taxonomy framework is proposed to categorize human motion components relevant to spatial interactions, for analysis through computer vision. A technical case study developed upon a machine-learning-aided model is used to test a selection of the proposed framework within domestic kitchen environments. This contribution adds further perspective to wider research explorations in the quality, inclusivity, engagement, and efficiency of architectural spaces through computer-aided tools.
keywords	Pose Estimation, Spatial Evaluation, Architectural Usability, Motion Studies, Computer Vision, SDG 3, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

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