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_340
id acadia20_340
authors Soana, Valentina; Stedman, Harvey; Darekar, Durgesh; M. Pawar, Vijay; Stuart-Smith, Robert
year 2020
title ELAbot
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. 340-349.
doi https://doi.org/10.52842/conf.acadia.2020.1.340
summary This paper presents the design, control system, and elastic behavior of ELAbot: a robotic bending active textile hybrid (BATH) structure that can self-form and transform. In BATH structures, equilibrium emerges from interaction between tensile (form active) and elastically bent (bending active) elements (Ahlquist and Menges 2013; Lienhard et al. 2012). The integration of a BATH structure with a robotic actuation system that controls global deformations enables the structure to self-deploy and achieve multiple three-dimensional states. Continuous elastic material actuation is embedded within an adaptive cyber-physical network, creating a novel robotic architectural system capable of behaving autonomously. State-of-the-art BATH research demonstrates their structural efficiency, aesthetic qualities, and potential for use in innovative architectural structures (Suzuki and Knippers 2018). Due to the lack of appropriate motor-control strategies that exert dynamic loading deformations safely over time, research in this field has focused predominantly on static structures. Given the complexity of controlling the material behavior of nonlinear kinetic elastic systems at an architectural scale, this research focuses on the development of a cyber-physical design framework where physical elastic behavior is integrated into a computational design process, allowing the control of large deformations. This enables the system to respond to conditions that could be difficult to predict in advance and to adapt to multiple circumstances. Within this framework, control values are computed through continuous negotiation between exteroceptive and interoceptive information, and user/designer interaction.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id acadia20_546
id acadia20_546
authors Yan Ng, Tsz; Ahlquist, Sean; Filipov, Evgueni; Weisman, Tracey
year 2020
title Active-Casting
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. 546-555.
doi https://doi.org/10.52842/conf.acadia.2020.1.546
summary Active-Casting explores the use of bespoke computer numerical controlled (CNC) manufactured knits to produce volumetric textile formwork for casting glass-fiber-reinforced concrete (GFRC). As a collaboration between experts in architecture, textile fabrication, and civil engineering, the research investigates multimaterial, functionally graded knit formwork as a fully seamless system to cast concrete. Working with controlled characteristics such as elasticity and stiffness of yarn type and knit structure, the soft textile is conceived as the vessel that defines the performative characteristics of volume, geometry, and surface detail. With only a minimal frame to suspend the volumetric cast, hydrostatic pressure “inflates” the fabric formwork, creating a dynamic form-finding process that eliminates the need for typical molding materials such as wood or foam. While active formfinding processes for CNC knit casting have been explored as an open-face, GFRC-sprayed system, the Active-Casting process produces a finished surface on all faces, embedded with expressions in form and surface detail from the knitted formwork. The precast units using this process reduce the amount of construction waste for formwork production, proposes a more automated fashion for manufacturing the formwork, and produces casts with complex geometries difficult to accomplish with traditional casting methods.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

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