SAE Technical Paper Series 2020
DOI: 10.4271/2020-01-1523
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Inter-Laboratory Characterization of Biot Parameters of Poro-Elastic Materials for Automotive Applications

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Cited by 9 publications
(4 citation statements)
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“…It is important to note that the extrapolated value at a compression rate equal to zero is very sensitive to the experimental data in the range [0.5% − 1.5%]. Chevillote et al (2020) [64] also observed that this sensitivity of the Young's modulus to the compression rate may result in scattered experimental data. Here, a power law for the extrapolation is chosen, yielding E ≈ 140 [kP a] at zero compression rate.…”
Section: Direct Characterization Of Macroscopic Propertiesmentioning
confidence: 99%
“…It is important to note that the extrapolated value at a compression rate equal to zero is very sensitive to the experimental data in the range [0.5% − 1.5%]. Chevillote et al (2020) [64] also observed that this sensitivity of the Young's modulus to the compression rate may result in scattered experimental data. Here, a power law for the extrapolation is chosen, yielding E ≈ 140 [kP a] at zero compression rate.…”
Section: Direct Characterization Of Macroscopic Propertiesmentioning
confidence: 99%
“…In reality, porous liners are applied in vehicles with a lighter elastic layer on top, which corresponds to a loading of 3-6 kg/m 2 . As long as porous liners tend to involve inhomogeneities, certain pre-stressing is recommended to maintain measurement stability [18]. However, depending on stiffness characteristics of foams, samples can express high sensitivity to pre-loading and as a result, material parameter calculations can lead to overestimated stiffness values.…”
Section: Experimental Studies 21 On Stability Of Measurementsmentioning
confidence: 99%
“…1. eters of the skeleton. Unfortunately, comparing the optimization values of these parameters with measurement results directly is not possible, as long as measurement data only provides apparent parameter values instead of intrinsic ones [18]. One of the reasons is the effect of the boundary conditions of the sample on it's behavior.…”
Section: Genetic Algorithms For Biot Parameter Definitionsmentioning
confidence: 99%
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