Data-driven characterization of porous materials by using frequency-dependent measurements
- Carbajo San Martín, Jesús
- Prieto Aneiros, Andrés
- Ramis Soriano, Jaime
- Río Martín, Laura del
- Antonio Calvo-Manzano (coord.)
- Antonio Pérez-López (coord.)
Verlag: Sociedad Española de Acústica
ISBN: 978-84-87985-29-4
Datum der Publikation: 2017
Seiten: 739-746
Kongress: Congreso Español de Acústica ; Encuentro Ibérico de Acústica (48. 2017. A Coruña)
Art: Konferenz-Beitrag
Ziele für nachhaltige Entwicklung
Zusammenfassung
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.