Transfer matrix method applied to the parallel assembly of sound absorbing materials

Autor: Kévin Verdière, Raymond Panneton, P. Leclaire, Saïd Elkoun, Thomas Dupont
Přispěvatelé: Département de génie mécanique [Sherbrooke] (UdeS), Université de Sherbrooke (UdeS), Groupe d'Acoustique de l'Université de Sherbrooke (GAUS), Université de Sherbrooke (UdeS)-Université de Sherbrooke (UdeS), Département de Recherche en Ingéniérie des Véhicules pour l'Environnement (DRIVE), Université de Bourgogne (UB)
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Journal of the Acoustical Society of America
Journal of the Acoustical Society of America, Acoustical Society of America, 2013, 134 (6), pp.4648-4658. ⟨10.1121/1.4824839⟩
ISSN: 0001-4966
1520-8524
Popis: International audience; The transfer matrix method (TMM) is used conventionally to predict the acoustic properties of laterally infinite homogeneous layers assembled in series to form a multilayer. In this work, a parallel assembly process of transfer matrices is used to model heterogeneous materials such as patchworks, acoustic mosaics, or a collection of acoustic elements in parallel. In this method, it is assumed that each parallel element can be modeled by a 2 × 2 transfer matrix, and no diffusion exists between elements. The resulting transfer matrix of the parallel assembly is also a 2 × 2 matrix that can be assembled in series with the classical TMM. The method is validated by comparison with finite element (FE) simulations and acoustical tube measurements on different parallel/series configurations at normal and oblique incidence. The comparisons are in terms of sound absorption coefficient and transmission loss on experimental and simulated data and published data, notably published data on a parallel array of resonators. From these comparisons, the limitations of the method are discussed. Finally, applications to three-dimensional geometries are studied, where the geometries are discretized as in a FE concept. Compared to FE simulations, the extended TMM yields similar results with a trivial computation time.
Databáze: OpenAIRE