The optimization of multilayered-sound-packaging is a challenging task which involves searching the best/op-timal settings for a number of acoustic parameters. The search space size becomes too large to handle by brute force, as the number of those parameters increases. In this study, we apply metaheuristics to configure multi-layered porous materials for maximizing their overall sound absorption coefficient. The multi-layered system is composed of a stack of facing screens (i.e. a woven or non-woven textile, a perforated plate) and/or thicker porous material combinations, chosen from a database of common acoustic materials. Firstly, we consider a two layered system with a fibrous porous material layer modeled using Delany-Bazley-Miki (DBM) model and a facing screen modeled by Johnson-Champoux-Allard (JCA) model, and optimize different parameters for maximizing the sound absorption. Secondly, for multilayered systems with more than two layers, a genetic algorithm is presented to explore the thickness and acoustical parameters that maximize the sound absorption coefficients for a frequency range of interest.
Ramamoorthy, V. T., Özcan, E., Parkes, A. J., Luc, J., & Bécot, F. (2019). Metaheuristic optimisation of sound absorption performance of multilayered porous materials. In Proceedings of the ICA 2019 and EAA Euroregio 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019 9 - 13 September 2019, Aachen, Germany. , (3213-3220)