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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	acadia20_192p
id	acadia20_192p
authors	Doyle, Shelby; Hunt, Erin
year	2020
title	Melting 2.0
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 192-197
summary	This project presents computational design and fabrication methods for locating standard steel reinforcement within 3D printed water-soluble PVA (polyvinyl alcohol) molds to create non-standard concrete columns. Previous methods from “Melting: Augmenting Concrete Columns with Water Soluble 3D Printed Formwork” and “Dissolvable 3D Printed Formwork: Exploring Additive Manufacturing for Reinforced Concrete” (Doyle & Hunt 2019) were adapted for larger-scale construction, including the introduction of new hardware, development of custom programming strategies, and updated digital fabrication techniques. Initial research plans included 3D printing continuous PVA formwork with a KUKA Agilus Kr10 R1100 industrial robotic arm. However, COVID-19 university campus closures led to fabrication shifting to the author’s home, and this phase instead relied upon a LulzBot TAZ 6 (build volume of 280 mm x 280 mm x 250 mm) with an HS+ (Hardened Steel) tool head (1.2 mm nozzle diameter). Two methods were developed for this project phase: new 3D printing hardware and custom GCode production. The methods were then evaluated in the fabrication of three non-standard columns designed around five standard reinforcement bars (3/8-inch diameter): Woven, Twisted, Aperture. Each test column was eight inches in diameter (the same size as a standard Sonotube concrete form) and 4 feet tall, approximately half the height of an architecturally scaled 8-foot-tall column. Each column’s form was generated from combining these diameter and height restrictions with the constraints of standard reinforcement placement and minimum concrete coverage. The formwork was then printed, assembled, cast, and then submerged in water to dissolve the molds to reveal the cast concrete. This mold dissolving process limits the applicable scale for the work as it transitions from the research lab to the construction site. Therefore, the final column was placed outside with its mold intact to explore if humidity and water alone can dissolve the PVA formwork in lieu of submersion.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	acadia20_594
id	acadia20_594
authors	Farahbakhsh, Mehdi; Kalantar, Negar; Rybkowski, Zofia
year	2020
title	Impact of Robotic 3D Printing Process Parameters on Bond Strength
doi	https://doi.org/10.52842/conf.acadia.2020.1.594
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 594-603.
summary	Additive manufacturing (AM), also known as 3D printing, offers advantages over traditional construction technologies, increasing material efficiency, fabrication precision, and speed. However, many AM projects in academia and industrial institutions do not comply with building codes. Consequently, they are not considered safe structures for public utilization and have languished as exhibition prototypes. While three discrete scales—micro, mezzo, and macro—are investigated for AM with paste in this paper, structural integrity has been tackled on the mezzo scale to investigate the impact of process parameters on the bond strength between layers in an AM process. Real-world material deposition in a robotic-assisted AM process is subject to environmental factors such as temperature, humidity, the load of upper layers, the pressure of the nozzle on printed layers, etc. Those factors add a secondary geometric characteristic to the printed objects that was missing in the initial digital model. This paper introduces a heuristic workflow for investigating the impacts of three selective process parameters on the bond strength between layers of paste in the robotic-assisted AM of large-scale structures. The workflow includes a method for adding the secondary geometrical characteristic to the initial 3D model by employing X-ray computerized tomography (CT) scanning, digital image processing, and 3D reconstruction. Ultimately, the proposed workflow offers a pattern library that can be used by an architect or artificial intelligence (AI) algorithms in automated AM processes to create robust architectural forms.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_315
id	caadria2020_315
authors	Feng, Shiyu, Du, Mengzeshan, Wang, Weiyi, Lu, Heng, Park, Daekwon and Ji, Guohua
year	2020
title	3D Printed Monolithic Joints - A Mechanically Bistable Joint
doi	https://doi.org/10.52842/conf.caadria.2020.1.173
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. 173-182
summary	This paper describes the design and fabrication process of an adaptive joint using 3D printed mono-material bistable mechanisms. The proposed joint deforms when external forces are applied, achieving two stable states. An x-shaped microstructure (simul-SLE) is designed for the connection portion of the bistable structure inside the joint. 3D-Printing experiments is conducted to explore the possibility of various forms of simul-SLE, which realize bistable by a single material. The experiment primarily solved two problems, namely the selection of materials and how to make the rigid 3D printed material acquires properties of flexibility and softness. Finally, practical applications are shown to prove the future of this joint.
keywords	3D printing; adaptive joint; mechanically-bistable joint
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2020_062
id	caadria2020_062
authors	Lu, Ming and Yuan, Philip F.
year	2020
title	A New Algorithm to Get Optimized Target Plane on 6-Axis Robot For Fabrication
doi	https://doi.org/10.52842/conf.caadria.2020.2.393
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. 393-402
summary	In usual robotic fabrication by 6 axis industrial robot such as KUKA ,ABB and other brands ,the usual robot's 4th ,5th and 6th axis is exactly converge in one point .When this type robot (pieper) is doing movement commands ,setting the degree of 4th axis close to zero is an ideal condition for motion stability ,especially for putting device which connect to tool head on 4th axis arm part.In plastic melting or others print which not cares the rotation angle about the printing direction(the printing direction means the effector's output normal direction vector, KUKA is X axis,ABB is Z axis) ,the optimization of 4th axis technology not only makes printing stable but also makes better quality for printing.The paper introduces a new algorithm to get the analytics solution.The algorithm is clear explained by mathematics and geometry ways. At the end of paper, a grasshopper custom plugin is provided ,which contains this new algorithm ,with this plugin, people can get the optimized target path plane more easily.
keywords	3D printing; brick fabrication; robotic; optimization algorithm; grasshopper plugin
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	artificial_intellicence2019_87
id	artificial_intellicence2019_87
authors	Ming Lu, Wei Ran Zhu, and Philip F. Yuan
year	2020
title	Toward a Collaborative Robotic Platform: FUROBOT
doi	https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_6
source	Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	In usual robotic fabrication by 6-axis industrial robots such as KUKA, ABB, and other brands, the usual robot’s 4th, 5th, and 6th axis is exactly converged in one point. When this type robot (pieper) is doing movement commands, setting the degree of 4th axis close to zero is an ideal condition for motion stability, especially for putting device which connects to tool head on 4th axis arm part. In plastic melting or others print which not cares the rotation angle about the printing direction (the printing direction means the effector’s output normal direction vector, KUKA is X axis, ABB is Z axis), the optimization of 4th axis technology not only makes printing stable but also makes better quality for printing. The paper introduces a new algorithm to get the analytics solution. The algorithm is clearly explained by mathematics and geometry ways. At the end of the paper, a grasshopper custom plugin is provided, which contains this new algorithm, with this plugin, people can get the optimized target path plane more easily.
series	Architectural Intelligence
email
last changed	2022/09/29 07:28

_id	sigradi2020_229
id	sigradi2020_229
authors	Mondal, Joy
year	2020
title	Chingree: Grasshopper Plugin to Generate 2D Compositions and 3D Embodiments Inspired from Mondrian's Neo-plastic Compositions Using Shape Grammar
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 229-237
summary	The paper documents the development of algor thms (released as Grasshopper plugin Chingree) to generate 2D compositions and 3D embodiments inspired from the visual ethos of Mondrian's neo-plastic compositions. Based on the empirical analysis of the compositions; rectangles are sub-divided with lines parallel to x and y axes, folllowed by selection of few of the sub-divisions for colouring. The principles of sub-division and selection are applied in 3D. Volumes are sub-divided with planes parallel to xy, yz and zx planes. Few of the sub- divisions are selected to be present (analogous to colouring in 2D). Shape gr mmar is used to control sub-division.
keywords	Neo-plastic, Mondrian, Shape grammar, 3D massing, Sub-division
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	artificial_intellicence2019_117
id	artificial_intellicence2019_117
authors	Stanislas Chaillou
year	2020
title	ArchiGAN: Artificial Intelligence x Architecture
doi	https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_8
source	Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	AI will soon massively empower architects in their day-to-day practice. This article provides a proof of concept. The framework used here offers a springboard for discussion, inviting architects to start engaging with AI, and data scientists to consider Architecture as a field of investigation. In this article, we summarize a part of our thesis, submitted at Harvard in May 2019, where Generative Adversarial Neural Networks (or GANs) get leveraged to design floor plans and entire buildings .
series	Architectural Intelligence
email
last changed	2022/09/29 07:28

_id	cdrf2022_209
id	cdrf2022_209
authors	Yecheng Zhang, Qimin Zhang, Yuxuan Zhao, Yunjie Deng, Feiyang Liu, Hao Zheng
year	2022
title	Artificial Intelligence Prediction of Urban Spatial Risk Factors from an Epidemic Perspective
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_18
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	From the epidemiological perspective, previous research methods of COVID-19 are generally based on classical statistical analysis. As a result, spatial information is often not used effectively. This paper uses image-based neural networks to explore the relationship between urban spatial risk and the distribution of infected populations, and the design of urban facilities. We take the Spatio-temporal data of people infected with new coronary pneumonia before February 28 in Wuhan in 2020 as the research object. We use kriging spatial interpolation technology and core density estimation technology to establish the epidemic heat distribution on fine grid units. We further examine the distribution of nine main spatial risk factors, including agencies, hospitals, park squares, sports fields, banks, hotels, Etc., which are tested for the significant positive correlation with the heat distribution of the epidemic. The weights of the spatial risk factors are used for training Generative Adversarial Network models, which predict the heat distribution of the outbreak in a given area. According to the trained model, optimizing the relevant environment design in urban areas to control risk factors effectively prevents and manages the epidemic from dispersing. The input image of the machine learning model is a city plan converted by public infrastructures, and the output image is a map of urban spatial risk factors in the given area.
series	cdrf
email
last changed	2024/05/29 14:02

_id	ecaade2020_183
id	ecaade2020_183
authors	Zhao, Jiangyang, Lombardi, Davide and Agkathidis, Asterios
year	2020
title	Application of Robotic Technologies for the Fabrication Of Traditional Chinese Timber Joints
doi	https://doi.org/10.52842/conf.ecaade.2020.2.351
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 351-360
summary	The traditional Chinese building design was influenced by the climate and the sociogeographical conditions of the different regions in China. They were usually constructed out of wood relying on timber-joint based construction systems. Amongst the wide variety of the structural elements, the Dougong (bucket arch) is one of the most common components of traditional wooden framework buildings, presenting a high level of complexity. Parametric design and robotic technology enable new possibilities regarding its fabrication and application in contemporary architecture. Our paper will explore how the Dougong components could be reinvented through the use of parametric tools and robotic fabrication methods and thus applied to contemporary architectural structures. We will analyse and compare the properties of the original Dougong with the reinvented unit by using finite element analysis and digital optimization tools. Our findings will provide an insight into the traditional construction principles of the joint and how these can inform a design and fabrication framework for its application in contemporary buildings.
keywords	Dougong joint; timber structures; parametric design; robotic fabrication; optimization algorithm
series	eCAADe
email
last changed	2022/06/07 07:57

_id	acadia20_220
doi	https://doi.org/10.52842/conf.acadia.2020.2.220
last changed	2023/10/22 12:06

_id	acadia20_148
doi	https://doi.org/10.52842/conf.acadia.2020.2.148
last changed	2023/10/22 12:06

_id	acadia20_236
doi	https://doi.org/10.52842/conf.acadia.2020.2.236
last changed	2023/10/22 12:06

_id	acadia20_202
doi	https://doi.org/10.52842/conf.acadia.2020.2.202
last changed	2023/10/22 12:06

_id	acadia20_226
doi	https://doi.org/10.52842/conf.acadia.2020.2.226
last changed	2023/10/22 12:06

_id	acadia20_232
doi	https://doi.org/10.52842/conf.acadia.2020.2.232
last changed	2023/10/22 12:06

_id	acadia20_176
doi	https://doi.org/10.52842/conf.acadia.2020.2.176
last changed	2023/10/22 12:06

_id	acadia20_124
doi	https://doi.org/10.52842/conf.acadia.2020.2.124
last changed	2023/10/22 12:06

_id	acadia20_192
doi	https://doi.org/10.52842/conf.acadia.2020.2.192
last changed	2023/10/22 12:06

_id	acadia20_164
doi	https://doi.org/10.52842/conf.acadia.2020.2.164
last changed	2023/10/22 12:06

_id	acadia20_214
doi	https://doi.org/10.52842/conf.acadia.2020.2.214
last changed	2023/10/22 12:06

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