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INTSURFACE - INTelligent space-time reconfigurable acoustic metaSURFACE

Project description

Real-time adaptive meta-surfaces to reduce noise pollution

Noise pollution is a growing concern in many urban areas, with transport noise having a significant impact on residents in densely populated regions. Existing solutions often fall short in effectively reducing this type of pollution. Meta-surfaces can enable spatiotemporal modulation and transform how we control and manage sound. However, progress has been hindered by experimental challenges and limitations in current control algorithms. Supported by the Marie Skłodowska-Curie Actions programme, the INTSURFACE project will develop a real-time, adaptive meta-surface capable of spatiotemporal modulation. The project will draw on a range of theoretical and numerical frameworks, create machine learning-based control systems for the meta-surface, and ultimately build and test working prototypes.

Objective

Noise control is an integral part of acoustics engineering and a concern for modern society. For example, the EU Action Plan: 'Towards Zero Pollution for Air, Water, and Soil' aims to reduce the share of people chronically disturbed by transport noise by 30%. However, wave control is normally constrained by the physical and geometrical properties of the materials. The recent concept of active metasurfaces made from acoustic metamaterials is opening new horizons for sound control applications, as the properties of these metasurfaces can be modified to achieve the desired acoustic behaviour and can be tailored to specific applications. A metasurface that could adapt itself both in space and time, i.e. spatiotemporal modulation, based on the wavefield could open new possibilities for controlling sound in real time. However, implementing this type of metasurface still presents significant challenges due to experimental difficulties and control algorithm limitations. This project addresses these challenges by proposing an acoustic metasurface composed of individual electroacoustic absorbers that can be controlled with a pressure-current-based control system. Therefore, INTSURFACE research aims to develop a real-time adaptive metasurface with spatiotemporal modulation capabilities. During this project, the theoretical and numerical frameworks to evaluate metasurfaces will be expanded to include space-time dependent properties and allow for the prediction of their acoustic behaviour in practical scenarios. Then, to control the metasurface, the research will develop a machine learning control framework that can adapt the individual elements of the metasurface to implement a desired spatiotemporal configuration. Finally, a proof-of-concept acoustic metasurface will be built and tested in several practical applications, including non-reciprocal multiple frequency propagation, multi-rainbow trapping, and cloaking by sound cancelation.

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Topic(s)

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HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

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Call for proposal

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(opens in new window) HORIZON-MSCA-2024-PF-01

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Coordinator

UNIVERSITE MARIE ET LOUIS PASTEUR
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 242 260,56
Address
1 RUE CLAUDE GOUDIMEL
25000 BESANCON
France

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Region
Bourgogne-Franche-Comté Franche-Comté Doubs
Activity type
Higher or Secondary Education Establishments
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Total cost

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