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Influence of the microstructure of two-dimensional random heterogeneous media on propagation of acoustic coherent waves.
Rohfritsch, Adrien; Conoir, Jean-Marc; Valier-Brasier, Tony; Marchiano, Régis.
Afiliação
  • Rohfritsch A; Sorbonne Université, CNRS, Institut Jean Le Rond ∂'Alembert, UMR 7190, 4 Place Jussieu, Paris, F-75005, France.
  • Conoir JM; Sorbonne Université, CNRS, Institut Jean Le Rond ∂'Alembert, UMR 7190, 4 Place Jussieu, Paris, F-75005, France.
  • Valier-Brasier T; Sorbonne Université, CNRS, Institut Jean Le Rond ∂'Alembert, UMR 7190, 4 Place Jussieu, Paris, F-75005, France.
  • Marchiano R; Sorbonne Université, CNRS, Institut Jean Le Rond ∂'Alembert, UMR 7190, 4 Place Jussieu, Paris, F-75005, France.
Phys Rev E ; 101(2-1): 023001, 2020 Feb.
Article em En | MEDLINE | ID: mdl-32168712
Multiple scattering of waves arises in all fields of physics in either periodic or random media. For random media the organization of the microstructure (uniform or nonuniform statistical distribution of scatterers) has effects on the propagation of coherent waves. Using a recent exact resolution method and different homogenization theories, the effects of the microstructure on the effective wave number are investigated over a large frequency range (ka between 0.1 and 13.4) and high concentrations. For uniform random media, increasing the configurational constraint makes the media more transparent for low frequencies and less for high frequencies. As a side but important result, we show that two of the homogenization models considered here appear to be very efficient at high frequency up to a concentration of 60% in the case of uniform media. For nonuniform media, for which clustered and periodic aggregates appear, the main effect is to reduce the magnitude of resonances and to make network effects appear. In this case, homogenization theories are not relevant to make a detailed analysis.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article