Active control method for the identification of the parameters of porous media

HilbrunnerJ, Olivier; Sellenf, Nadine; Galland, Marie‐Annick; Mazoyer, Thierry; Pellerin, A.

doi:10.2514/6.2001-2192

Cited by 1 publication

(2 citation statements)

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“…When a porous material of fixed thickness is submitted to a difference of static pressure ∆P = P 2 − P 1 , a macroscopic flow of average velocity V appears through the material, see figure 1. The resistivity is defined by the ratio of the static pressure difference to the product of the velocity and the thickness of the porous sample (Darcy's law), see equation (6).…”

Section: Theoretical Modelmentioning

confidence: 99%

“…A first determination method was presented in reference 6 ; a more general identification process applicable to a larger set of porous materials is pro-1 American Institute of Aeronautics and Astronautics posed in this paper. Firstly, after a brief description of the theoretical propagation model in a porous medium and each characteristic parameter of interest, we expose the principle of our identification method.…”

Section: Introductionmentioning

confidence: 99%

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Identification of the Characteristic Parameters of Porous Media Using Active Control

Sellen¹,

Galland²,

Hilbrunner³

2002

8th AIAA/CEAS Aeroacoustics Conference &Amp;amp; Exhibit

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A method for determining the characteristic parameters of a porous material by means of acoustic measurements on a unique experimental set up, the standing wave tube, is presented in this paper. The principle of the identification procedure is based on the modification of the boundary conditions at the rear face of the material, especially rigid wall, air cavities of distinct depths, and soft impedance achieved thanks to an active control system. A set of about ten different porous materials was tested. The acoustic parameters are obtained from Lafarge-Allard's model considering the frame of the material is rigid. Whether all the experimental and atmospheric constraints are strictly respected, the parameter identification method is either rapid and reliable. Very good agreement is observed between predictions and measurements for different experimental configurations.

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Section: Theoretical Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%