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Metaheuristic optimisation of sound absorption performance of multilayered porous materials

Ramamoorthy, Vivek T.; �zcan, Ender; Parkes, Andrew J.; Luc, Jaouen; B�cot, Fran�ois-Xavier

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Vivek T. Ramamoorthy

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Professor of Computer Science and Operational Research

Jaouen Luc

Fran�ois-Xavier B�cot


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.

Conference Name 23rd International Congress on Acoustics (ICA 2019)
Start Date Sep 9, 2019
End Date Sep 13, 2019
Acceptance Date Mar 3, 2019
Online Publication Date Sep 13, 2019
Publication Date Sep 13, 2019
Deposit Date Oct 15, 2019
Publicly Available Date Oct 15, 2019
Pages 3213-3220
Series ISSN 2226-7808
Book Title Proceedings of the ICA 2019 and EAA Euroregio 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019 9 - 13 September 2019, Aachen, Germany
ISBN 9783939296157
Keywords Metaheuristics; Multilayered porous materials; Genetic algorithms; Sound absorption
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