Data-driven characterization of porous materials by using frequency-dependent measurements

  1. Carbajo San Martín, Jesús
  2. Prieto Aneiros, Andrés
  3. Ramis Soriano, Jaime
  4. Río Martín, Laura del
Libro:
Tecniacústica 2017: 48º Congreso Español de Acústica ; Encuentro Ibérico de Acústica ; European Symposium on Underwater Acoustics Applications ; European Symposium on Sustainable Building Acoustics : A Coruña 3-6 Octubre 2017
  1. Antonio Calvo-Manzano (coord.)
  2. Antonio Pérez-López (coord.)

Editorial: Sociedad Española de Acústica

ISBN: 978-84-87985-29-4

Año de publicación: 2017

Páginas: 739-746

Congreso: Congreso Español de Acústica ; Encuentro Ibérico de Acústica (48. 2017. A Coruña)

Tipo: Aportación congreso

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Resumen

The identification of the acoustical properties of materials plays a key role in the numerical prediction of the acoustic performance and the structural behavior of any mechanical system. Therefore, to obtain an accurate frequency-dependent response, it is essential a suitable choice of the parametric models for each material. However, such models could be inadequate by the material nature or not valid for a given frequency range. In this work, a novel numerical optimization strategy for the characterization of material acoustic properties is introduced, which only uses a reduced number of experimental measurements with the advantage of avoiding parametric model choices.

Fuente de los datos: Dialnet