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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_154
id	acadia17_154
authors	Brown, Nathan; Mueller, Caitlin
year	2017
title	Designing With Data: Moving Beyond The Design Space Catalog
doi	https://doi.org/10.52842/conf.acadia.2017.154
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. 154-163
summary	Design space catalogs, which present a collection of different options for selection by human designers, have become commonplace in architecture. Increasingly, these catalogs are rapidly generated using parametric models and informed by simulations that describe energy usage, structural efficiency, daylight availability, views, acoustic properties, and other aspects of building performance. However, by conceiving of computational methods as a means for fostering interactive, collaborative, guided, expert-dependent design processes, many opportunities remain to improve upon the originally static archetype of the design space catalog. This paper presents developments in the areas of interaction, automation, simplification, and visualization that seek to improve on the current catalog model while also describing a vision for effective computer-aided, performance-based design processes in the future.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	sigradi2017_024
id	sigradi2017_024
authors	Howe, Nathan; Ryan Gedney
year	2017
title	Data-driven Age \| Educating the Architects of Tomorrow [Data-driven Age \| Educating the Architects of Tomorrow]
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.174-179
summary	This paper delves into the paradigm shift of architecture practice and teaching in a data-driven age. What tools are needed within the architectural environment? What type of expertise must professionals be exposed to? What type of research and analysis is necessary to provide conviction for a design? These are just a few questions introduced in this paper to create a methodology for discovering alternate ways of teaching and practicing architecture. In this exploration, an architectural firm and a graduate studio’s expertise were combined to create a framework for educating the architect of tomorrow in a data-driven age.
keywords	data-drive; parameters; technology; architecture; urban; academy; profession
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia17_382
id	acadia17_382
authors	Melenbrink, Nathan; Kassabian, Paul; Menges, Achim; Werfel, Justin
year	2017
title	Towards Force-aware Robot Collectives for On-site Construction
doi	https://doi.org/10.52842/conf.acadia.2017.382
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. 382- 391
summary	Due to the irregular and variable environments in which most construction projects take place, the topic of on-site automation has previously been largely neglected in favor of off-site prefabrication. While prefabrication has certain obvious economic and schedule benefits, a number of potential applications would benefit from a fully autonomous robotic construction system capable of building without human supervision or intervention; for example, building in remote environments, or building structures whose form changes over time. Previous work using a swarm approach to robotic assembly generally neglected to consider forces acting on the structure, which is necessary to guarantee against failure during construction. In this paper we report on key findings for how distributed climbing robots can use local force measurements to assess aspects of global structural state. We then chart out a broader trajectory for the affordances of distributed on-site construction in the built environment and position our contributions within this research agenda. The principles explored in simulation are demonstrated in hardware, including solutions for force-sensing as well as a climbing robot.
keywords	material and construction; physics; construction/robotics; simulation & optimization
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_404
id	acadia17_404
authors	Miller, Nathan; Stasiuk, David
year	2017
title	A Novel Mesh-Based Workflow for Complex Geometry in BIM
doi	https://doi.org/10.52842/conf.acadia.2017.404
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. 404- 413
summary	Various well-established digital modeling software platforms enable architectural design teams to rapidly sculpt and iterate over complex, doubly curved, and organic geometries. However, the software platforms that are used to author such geometries are rarely the same that are used for later-stage project development and delivery. For these phases of project execution, projects of even modest complexity are managed through building information modeling (BIM) software. Yet most BIM solutions are not suitable for natively handling the design of geometrically complex forms, failing to provide lightweight, responsive, or flexible authoring interfaces. A further complication is their inability to readily import or integrate any complex geometric elements or assemblies generated elsewhere. The development of improvements to interoperability between authoring and production software therefore remains an important goal in contemporary architectural practice. This paper describes a practical methodology that then engages various Application Programming Interfaces (APIs) and open-source programming tools to address the problem of interoperability for complex geometry in BIM. Specifically, it identifies meshes as a well-positioned data structure for use within the context of preparing complex design geometry for BIM production. We describe a novel technique for the efficient interoperability of complex NURBS poly-surface objects from one authoring platform, employing design meshes that cleanly capture not just geometry, but also user and procedurally derived descriptive data elements for advanced representation and analysis within a BIM production environment.
keywords	design methods; information processing; BIM
series	ACADIA
email
last changed	2022/06/07 07:58

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