Data-driven porous models

Data-driven modelling of porous materials with rigid solid frame using an standard Kundt’s tube

Complex porous materials computed with different foams

The acoustic characterization of porous materials with rigid solid frame plays a key role in the prediction of the acoustic behavior of any dynamic system that incorporates them. In order to obtain an accurate prediction of its frequency-dependent response, a suitable choice of the parametric models for each material is essential. However, such models could be inadequate for a given material or only valid in a specific frequency range.

Wavenumber characterization of a composed porous material Figure 1: Wavenumber characterization of a composed porous material.

In this project (see [1]), a novel non-parametric methodology is proposed for the characterization of the acoustic properties of rigid porous materials. Unlike most widespread methodologies, this technique is based on the solution of a sequence of frequency-by-frequency well-posed inverse problems (see Figure 1), thus increasing the characterization accuracy. Once a reduced number of experimental measurements is available, the proposed method avoids the a priori choice of a parametric model.

References

[1] J. Carbajo, A. Prieto, J. Ramis, L. Río-Martín.
A non-parametric fluid-equivalent approach for the acoustic characterization of rigid porous materials.
Applied Mathematical Modelling, 76 (2019), 8, 330-347. (pre-print) (dataset)

Andrés Prieto
Andrés Prieto
Professor of Applied Mathematics

My research interests include mathematical modelling, numerical analysis and computational acoustics.

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