Identification of the Characteristic Parameters of Porous Media Using Active Control

Sellen, Nadine; Galland, Marie‐Annick; Hilbrunner, Olivier

doi:10.2514/6.2002-2504

Cited by 16 publications

(9 citation statements)

References 10 publications

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“…Here a polyurethane foam which has been used and described in Ref. [28] is considered. In this paper, some material parameters identification coming from three different labs are given.…”

Section: Sensitivity Analysis Of Champoux-allard Model On a Specific mentioning

confidence: 99%

“…Fig. 6 shows several possible pdfs for flow resistivity, identified from the database taken from the literature [28]. This figure shows: a basic uniform pdf, which has the advantage to ensure positive values for each parameter, but it does not allow parameters to go outside the region defined by the available data; an exponential pdf, obtained using the principle of maximum entropy [29,30], assuming the samples are confident enough to define bounds and mean of the random variable;…”

Section: Sensitivity Analysis Of Champoux-allard Model On a Specific mentioning

confidence: 99%

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On the sensitivity analysis of porous material models

Ouisse

Ichchou

Chedly

et al. 2012

Journal of Sound and Vibration

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a b s t r a c tPorous materials are used in many vibroacoustic applications. Different available models describe their behaviors according to materials' intrinsic characteristics. For instance, in the case of porous material with rigid frame, and according to the Champoux-Allard model, five parameters are employed. In this paper, an investigation about this model sensitivity to parameters according to frequency is conducted. Sobol and FAST algorithms are used for sensitivity analysis. A strong parametric frequency dependent hierarchy is shown. Sensitivity investigations confirm that resistivity is the most influent parameter when acoustic absorption and surface impedance of porous materials with rigid frame are considered. The analysis is first performed on a wide category of porous materials, and then restricted to a polyurethane foam analysis in order to illustrate the impact of the reduction of the design space. In a second part, a sensitivity analysis is performed using the Biot-Allard model with nine parameters including mechanical effects of the frame and conclusions are drawn through numerical simulations.

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“…Here a polyurethane foam which has been used and described in Ref. [28] is considered. In this paper, some material parameters identification coming from three different labs are given.…”

Section: Sensitivity Analysis Of Champoux-allard Model On a Specific mentioning

confidence: 99%

Section: Sensitivity Analysis Of Champoux-allard Model On a Specific mentioning

confidence: 99%

On the sensitivity analysis of porous material models

Ouisse

Ichchou

Chedly

et al. 2012

Journal of Sound and Vibration

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“…[P in ] −1 2×2 and [P out ] −1 2×2 are input and output wavesmatrices whose twoc olumns are associated to twom easurement duct conditions (I) and (II) described by equations (21) and (22),…”

Section: Characterization Of Passive Systemsmentioning

confidence: 99%

Scattering-Matrix Formulation for Both Measurement and Prediction of Acoustical Performances of Hybrid Cells and Their Active and Passive Elements

Sitel¹,

Galland²

2011

Acta Acustica united with Acustica

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The design of panels improving both sound absorption and insulation performance overawide frequencyrange is ap roblem of considerable practical interest for transport and building industries. In this work, an analytical method for predicting both the absorption coefficient and the transmission loss of hybrid active/passive multilayered cells and the associated experimental investigation are presented. These cells combine passive and active control by using passive layers and an active plate. Passive layers consist of absorbing materials located on the reception side in order to increase absorption overawide frequencyrange. The active plate vibrates as asecondary source in order to reduce sound transmission at lowand/or at resonance frequencies. To validate the analytical approach, measurement methods in ducts based on the scattering-matrix description are applied to characterise three types of system: (i)-passive discontinuities such as multilayered sandwiches including porous layers (ii)-active discontinuities here the active plate playing the secondary source role, (iii)-hybrid cells equipped with active control system. Forthese three cases, the correspondence between theoretical simulations and experimental results is satisfactory.

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“…Based on Johnson-Champoux-Allard model, Bonfiglio et al (9) obtained the optimal acoustic parameter values by using genetic algorithm respectively. Based on the Lafarge-Allard model, Sellen et al (10) obtained the acoustic parameter values of PM by the method of inverse extrapolation. Zhou et al (11) obtained the acoustic parameters of the felt by the reverse method.…”

Section: Introductionmentioning

confidence: 99%

On-demand optimize design of sound-absorbing porous material based on multi-population genetic algorithm

Wang

Liu

et al. 2020

E-Polymers

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AbstractPorous material (PM) shows good sound absorption performance, however, the sound absorbing property of PM with different parameters are greatly different. In order to match the most suitable absorbing materials with the most satisfactory sound-absorbing performance according to the noise spectrum in different practical applications, multi-population genetic algorithm is used in this paper to optimize the parameters of porous sound absorbing structures that are commonly used according to the actual demand of noise reduction and experimental verification. The results shows that the optimization results of multi-population genetic algorithm are obviously better than the standard genetic algorithm in terms of sound absorption performance and sound absorption bandwidth. The average acoustic absorption coefficient of PM can reach above 0.6 in the range of medium frequency, and over 0.8 in the range of high frequency through optimization design. At a mid-to-high frequency environment, the PM has a better sound absorption effect and a wider frequency band than that of micro-perforated plate. However, it has a poor sound absorption effect at low frequency. So it is necessary to select suitable sound absorption material according to the actual noise spectrum.

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Identification of the Characteristic Parameters of Porous Media Using Active Control

Cited by 16 publications

References 10 publications

On the sensitivity analysis of porous material models

On the sensitivity analysis of porous material models

Scattering-Matrix Formulation for Both Measurement and Prediction of Acoustical Performances of Hybrid Cells and Their Active and Passive Elements

On-demand optimize design of sound-absorbing porous material based on multi-population genetic algorithm

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