Design of finite-size acoustic metasurfaces with a combination of Machine Learning and Reduced Order Models
A three years joint PhD position between Le Mans University and the Technical University of München is open in the field of metamaterials and Machine Learning.
Secondments to Phononic Vibes, an industrial partner, are planned during the PhD.
Expected starting date: ASAP
Application Deadline: December 19th 2024
Salary: Gross Salary of 2812 € (about 2250 € net) + Mobility allowance: 600 € gross
+ Family allowance depending of the status: 660 € gross
Working hours: 35h per week
Working time: 100% on the project
The aim of this PhD (see the advert) is to optimize acoustic metasurfaces of finite size using machine learning algorithms. While simple mass-spring systems or C-shaped
resonators are well suited to the study of basic principles, more complex unit cells are required for broadband and low-frequency sound and vibration attenuation/absorption.
Although the periodicity of the structure implies infinite structures at least in one planar dimension, this is not the case for practical applications, as edges induce a
considerable effect. To effectively manage the increased computational effort associated with calculating the response of the finite-dimensional structure many times
over, the DC will undertake MOR approaches in combination with machine learning strategies to result in high-performance numerical models that can be used in an
optimization scheme. The aim of this research is to incorporate MOR techniques into machine learning-based optimization for the simultaneous design of a host structure
and a customized metasurface for automotive applications. Experimental validation (absorption coefficient in an impedance tube – attenuation in an alpha cabin) of the
designed structure (poroelastic core with optimized internal resonator) will be carried out to validate the approach.
For further information about the position please contact:
For Le Mans University : Olivier Dazel (Main contact) , Mathieu Gaborit, Jean-Philippe Groby
For TU München: Steffen Marburg or Johannes Schmid
