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

• Autores: Jesús Carbajo San Martín, Andrés Prieto, Jaime Ramis Soriano, Laura del Río Martín
• Localización: 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 / coord. por Antonio Calvo Manzano, Antonio Pérez López, 2017, ISBN 978-84-87985-29-4, págs. 739-746
• Idioma: inglés
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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.