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Eggshell
Human-Machine Collaboration
Robotic Plaster Spraying
Timber Assembly with Distributed Architectural Robotics
Mesh Mould Prefabrication
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Data Science Enabled Acoustic Design
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Data Science Enabled Acoustic Design for Digital Fabrication in Architecture, ETH Zurich, 2018-2021
This research project studied the relationship between diffusive surface structures and their acoustic performance. The surfaces were computationally designed to resemble common architectural fabrication typologies (brick walls, rubble stone walls, slated stone walls), measuring approximately 6x6 meters. Material and construction parameters particular to each typology were coded in a geometry generation algorithm and utilized to generate various surfaces. The surfaces were 3D printed on a 1:10 scale using binder-jet 3D printing and sprayed with two layers of paint to increase their sound reflectivity. An automated robotic setup was employed to record the impulse responses in front of these surfaces. The robotic arms, one equipped with a speaker (source) and the other with a microphone (receiver), acted as dynamic measuring devices recording the sound reflection from the 3D printed surfaces.
The outcome of this research is the Geometry and real Impulse Response Dataset (GIR Dataset), the first dataset containing physically recorded impulse responses that correspond to particular 3D structures.

The dataset is released under the GNU General Public License v3.0 and can be downloaded from the Renku repository.
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Publications
Rust Romana, Achilleas Xydis, Kurt Heutschi, Nathanael Perraudin, Gonzalo Casas, Chaoyu Du, Jürgen Strauss, et al. 2021. ‘A Data Acquisition Setup for Data Driven Acoustic Design’. Building Acoustics, February, 1351010X20986901.
Preprint PDF

Credits:
Gramazio Kohler Research, ETH Zürich

In Zusammenarbeit mit: Laboratory for Acoustics / Noise Control Empa, Strauss Electroacoustic GmbH, Swiss Data Science Center (SDSC)
Forschungsprogramm: Swiss Data Science Center (SDSC)
Mitarbeiter: Dr. Romana Rust (Projektleitung), Achilleas Xydis (PhD student), Gonzalo Casas, Kurt Eggenschwiler, Dr. Kurt Heutschi, Jürgen Strauss, Dr. Fernando Perez-Cruz, Dr. Nathanaël Perraudin, Michael Lyrenmann, Philippe Fleischmann

Copyright 2016, Gramazio Kohler Research, ETH Zurich, Switzerland
Gramazio Kohler Research
Professur für Architektur und Digitale Fabrikation
ETH Zürich HIB E 43
Stefano-Franscini Platz 1 / CH-8093 Zürich

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