Feedback- and Data-driven Design for Aggregate Architectures: Analyses of Data Collections for Physical and Numerical Prototypes of Designed Granular Materials (2016)
article⁄Feedback- and Data-driven Design for Aggregate Architectures: Analyses of Data Collections for Physical and Numerical Prototypes of Designed Granular Materials (2016)
abstract⁄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 onlinecontrolled 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 particlesY micromechanical behavior and the fragile stability of the formations were analyzed using numerical simulations. Based on this, an onlinecontrolled 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 onetoone 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.
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| Year |
2016 |
| Authors |
Rusenova, Gergana; Dierichs, Karola; Baharlou, Ehsan; Menges, Achim. |
| Issue |
ACADIA 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines |
| Pages |
62-72 |
| Library link |
N/A |
| Entry filename |
feedback-data-driven-design-aggregate-architectures |
