| 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 |
| doi |
https://doi.org/10.52842/conf.acadia.2016.062
|
| 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 |
| email |
|
| full text |
 file.pdf (1,028,146 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:56 |
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