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 acadia22pr_172
id acadia22pr_172
authors Huang, Lee-Su; Spaw, Gregory Thomas
year 2022
title Robotically Bent Spatial Metal Knots - Re-Interpreting Spatial Knotting Through Robotic Tube Bending
source ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 172-177.
summary The studies presented in this project employ workflows that enable multi-planar robotic bending of metal tubes with high accuracy and repeatability using a 6-axis industrial robot with a custom end-effector and external 2-axis positioner. This enables quick fabrication and assembly of complex spatial tubular configurations without the need for jigs or falsework support. The method makes possible the accurate fabrication of complex, closed polyline curve loop configurations that are topologically similar to knots in mathematical knot theory
series ACADIA
type project
email
last changed 2024/02/06 14:06

_id acadia22_672
id acadia22_672
authors Johanes, Mikhael; Huang, Jeffrey
year 2022
title Latent Isovist
source ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 672-683.
summary This research leverages the development in deep learning research to develop an experimental framework for discovering machine-human interpretable spatial properties from latent isovist, a reduced dimensionality isovist representation obtained from generative adversarial networks (GANs). GAN latent space contains a wide range of semantically interpretable directions, potentially being used to quantify the spatial properties encoded in isovist representation. 
series ACADIA
type paper
email
last changed 2024/02/06 14:04

_id acadia22_598
id acadia22_598
authors Shen, Yang-Ting; Wang, Mi-Chi; Huang, Lien-Kai; Gao, You-Min; Yen, Chia-Chin
year 2022
title The Reproduction of Chinese Traditional Timber Structure
source ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 598-603.
summary In Chinese traditional timber building, “Dou-gong” stands as one of the most distinctive features to present the Chinese structure style. However, the preservation and reproduction of Dou-gong face difficulties due to the withering craftsman issue. This paper proposes a method to digitize the structure into BIM (building information modeling) and reproduce it via robot-based fabrication. By modeling these Dou-gong components with BIM technologies, we can establish a geometrical and non-geometrical 3D database. Then we use Autodesk Fusion and Grasshopper to design the robotic fabrication information whose information is transferred from 3D database models. Based on the fabrication information, including work paths and tool parameters, the KUKA robotic arm with six axes can precisely mill the wood materials into Dou-gong components without any traditional craftsman’s processing. 
series ACADIA
type paper
email
last changed 2024/02/06 14:04

_id acadia22pr_136
id acadia22pr_136
authors Tanadini, Davide; Boller, Giulia; Victor Leung, Pok Yin; Huang, Yijiang; D’Acunto, Pierluigi
year 2022
title The CantiBox - Robotic Assembly of Interweaving Timber Linear Elements Using Bespoke Interlocking Timber-to-Timber Connections
source ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 136-141.
summary The robotically fabricated CantiBox project presented here constitutes a novel application of the design and automatic assembly of interlocking timber- to-timber connections. The structure is composed of 60 linear elements of solid spruce interconnected through half-lap joints to form a reciprocal network.
series ACADIA
type project
email
last changed 2024/02/06 14:06

_id caadria2022_394
id caadria2022_394
authors Li, Yuanyuan, Huang, Chenyu, Zhang, Gengjia and Yao, Jiawei
year 2022
title Machine Learning Modeling and Genetic Optimization of Adaptive Building Facade Towards the Light Environment
doi https://doi.org/10.52842/conf.caadria.2022.1.141
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. 141-150
summary For adaptive facades, the dynamic integration of architectural and environmental information is essential but complex, especially for the performance of indoor light environments. This research proposes a new approach that combines computer-aided design methods and machine learning to enhance the efficiency of this process. The first step is to clarify the design factors of adaptive facade, exploring how parameterized typology models perform in simulation. Then interpretable machine learning is used to explain the contribution of adaptive facade parameters to light criteria (DLA, UDI, DGP) and build prediction models for light simulation. Finally, Wallacei X is used for multi-objective optimization, determines the optimal skin options under the corresponding light environment, and establishes the optimal operation model of the adaptive facades against changes in the light environment. This paper provides a reference for designers to decouple the influence of various factors of adaptive facades on the indoor light environment in the early design stage and carry out more efficient adaptive facades design driven by environmental performance.
keywords Adaptive Facades, Light Environment, Machine learning, Light Simulation, Genetic Algorithm, SDG 3, SDG 12
series CAADRIA
email
last changed 2022/07/22 07:34

_id sigradi2022_298
id sigradi2022_298
authors Perry, Isha N.; Xue, Zhouyi; Huang, Hui-Ling; Crispe, Nikita; Vegas, Gonzalo; Swarts, Matthew; Gomez Z., Paula
year 2022
title Human Behavior Simulations to Determine Best Strategies for Reducing COVID-19 Risk in Schools
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. 39–50
summary The dynamics of COVID-19 spread have been studied from an epidemiological perspective, at city, country, and global scales (Rabajante, 2020, Ma, 2020, and Giuliani et al., 2020), although after two years of the pandemic we know that viruses spread mostly through built environments. This study is part of the Spatiotemporal Modeling of COVID-19 spread in buildings research (Gomez, Hadi, and Kemenova et al., 2020 and 2021), which proposes a multidimensional model that integrates spatial configurations, temporal use of spaces, and virus characteristics into one multidimensional model. This paper presents a specific branch of this model that analyzes the behavioral parameters, such as vaccination, masking, and mRNA booster rates, and compares them to reducing room occupancy. We focused on human behavior, specifically human interactions within six feet. We utilized the multipurpose simulation software, AnyLogic, to quantify individual exposure to the virus, in the high school building by Perkins and Will. The results show how the most effective solution, reducing the occupancy rates or redesigning layouts, being the most impractical one, is as effective as 80% of the population getting a third boost.
keywords Spatiotemporal Modeling, Behavior Analytics, COVID-19 Spread, Agent-Based Simulation, COVID-19 Prevention
series SIGraDi
email
last changed 2023/05/16 16:55

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