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.)
Publisher: Sociedad Española de Acústica
ISBN: 978-84-87985-29-4
Year of publication: 2017
Pages: 739-746
Congress: Congreso Español de Acústica ; Encuentro Ibérico de Acústica (48. 2017. A Coruña)
Type: Conference paper
Sustainable development goals
Abstract
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.