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 acadia16_62
id acadia16_62
authors Rusenova, Gergana; Dierichs, Karola; Baharlou, Ehsan; Menges, Achim
year 2016
title Feedback- and Data-driven Design for Aggregate Architectures: Analyses of Data Collections for Physical and Numerical Prototypes of Designed Granular Materials
source ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp.62-72
summary This project contributes to the investigations in the field of aggregate architectures by linking two research areas: the numerical simulation of aggregate formations, and a concept for an online-controlled pneumatic formwork system. This paper introduces a novel approach for constructing with designed particles based on a feedback process. The overall aim was to investigate the capacity of aggregates as an architectural material system, which create emergent spatial formations. Initially the particles´ micro-mechanical behavior and the fragile stability of the formations were analyzed using numerical simulations. Based on this, an online-controlled inflatable formwork system was developed. The formwork was designed to react to the actual stability state of an aggregate formation; for this, a statistical set of simulation data was gathered, which directly informed the physical system. This overall concept was proven and verified in a one-to-one scaled physical model. The methods developed within this research provide a first set of baselines for comparison between the behavior of simulated and physical designed granular materials.
keywords simulations, designed particles, feedback-driven design, embedded responsiveness
series ACADIA
type paper
last changed 2016/10/24 11:12

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