MATRIX
MATRIX (MAchine for Time Reversal and Immersive eXperimentation) is a European Research Council funded research project and one of four ERC Advanced Grants awarded to ETH in 2015.
MATRIX establishes several laboratories for elastic immersive wave experimentation. Using a robotized three-component scanning Laser Doppler Vibrometer (LDV), waves are sensed at the boundaries of the experimentation domain. The recorded wavefields are decomposed at the boundary and their reflections actively suppressed utilizing novel methods for wavefield injection via dense source arrays.
Waves incident on the boundary are also extrapolated through the larger numerical domain using pre-computed Green’s functions and re-emitted into the experimentation domain, eventually enabling multiple scattering interactions between the laboratory and numerical domain.
Related Publications:
Boundless Metamaterial Experimentation: Physical Realization of a Unidirectional Virtual Periodic Boundary Condition
Thomsen Henrik R., Zhao Bao and Colombi Andrea
Phys. Rev. Appl., 19(6), 064019 (2022)
external pagehttps://doi.org/10.3929/ethz-b-000625630
Elastic immersive wave experimentation: Theory and physical implementation
Thomsen, H. R., Molerón, M., Haag, T., van Manen, D.-J. and Robertsson, J. O. A.
Phys. Rev. Res., 1(3), 033203 (2019)
external pagehttps://doi.org/10.1103/PhysRevResearch.1.033203
Exact wavefield separation on an elastic-free surface with sharp corners
Thomsen, H., van Manen, D.-J. and Robertsson, Johan O. A.
SEG Technical Program Expanded Abstracts (2018)
external pagehttps://doi.org/10.1190/segam2018-2995422.1 (login required)
Compensating for source directivity in immersive wave experimentation
Li, X., Robertsson, J., Curtis, A. and van Manen, D.-J.
J. Acoust. Soc. Am., 146(5), 3141–3158. (2019)
external pagehttps://doi.org/10.1121/1.5131029
Acknowledgements:
This project, MATRIX (MAchine for Time Reversal and Immersive wave eXperimentation), has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant Agreement No. 694407).