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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	acadia17_266
id	acadia17_266
authors	Gonzalez Rojas,Paloma
year	2017
title	Space and Motion: Data-Driven Model of 4D Pedestrian Behavior
doi	https://doi.org/10.52842/conf.acadia.2017.266
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 266-273
summary	The understanding of space relies on motion, as we experience space by crossing it in time, space’s fourth dimension. However, architects lack the necessary tools to incorporate people's motion into their design of space. As a consequence, architects fail to connect space with the motion of the people that inhabit their buildings, creating disorienting environments. Further, what if augmentation technology changes how we inhabit space and the static built environment does not fit people anymore? This paper explores the problem of developing a model from people's motion, to inform and augment the architecture design process in the early stages. As an outcome, I have designed a model based on data from human-space interaction obtained through field work. First, relevant behavior was identified and recorded. Second, a metric was extracted from the data and composed by speed, the 4th D dimension as time, and gestures. Third, the original behavior was rebuilt, producing a set of rules. The rules were combined to form the model of human-space interaction. This generalizable model provides a novel approach to designing space based on data from people. Moreover, this paper presents a means of incorporating inhabitants' behavior into digital design. Finally, the model contributes to the advancement of people's motion research for general applications, such as in transport engineering, robotics, and cognitive sciences.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:51

_id	cf2017_431
id	cf2017_431
authors	Gonzalez, Paloma; Sass, Larry
year	2017
title	Constructive Design: Rule Discovery for 3D Printing Decomposed Large Objects
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 431-442.
summary	This paper presents a rule discovery process for designers that work with physically large 3D printed models. After a period of discovery, rules were formalized, then developed into operations and programmable functions used in a generative design system. Past examples of generative systems are built based on visual constraints leading to graphical outcomes. With the emergence of 3D printing, we introduce ideas for rule building based on physical constraints and outcomes. The decomposition rules are: curved surface slicing, freestanding attribute, interval patterning, edge mating, and pneumatic attribute. The freestanding attribute, the most novel rule, is based on Chilean anti-earthquake building techniques. This rule provides the greatest degree of structural stability to a model. We conclude with a discussion of results from the case study used to generate the set constructive rules. We believe this method of module generation, 3D Printing and assembles can support design prototyping and model manufacturing across scales.
keywords	Decomposition, Large Objects, 3D Printing.
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	sigradi2017_039
id	sigradi2017_039
authors	González Böhme, Luis Felipe; Francisco Javier Quitral Zapata, Sandro Maino Ansaldo, Marcela Hurtado Saldías
year	2017
title	Reconstrucción robotizada del patrimonio arquitectónico chileno en madera [Robotic reconstruction of Chilean wooden architectural heritage]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.267-272
summary	We present a proof of concept of parametric 3D models of fully associative geometry and milling tool paths for the robotic machining of traditional timber joints, using a visual robot-programming environment integrated into a popular CAD software. A representative sample of traditional timber joints was obtained from a field survey conducted in Valparaíso, Chile. Each specimen was theoretically validated in nearly half a hundred carpentry treatises and manuals corresponding to the historical period in which the surveyed buildings were built. Parametric robotic milling prototypes were experimentally validated in manufacturing process using two industrial robots with different spindles and cutting tools.
series	SIGRADI
email
last changed	2021/03/28 19:58

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