Multiscale prediction of acoustic properties for glass wools: computational study and experimental validation

Mu He 1 Camille Perrot 1 Johann Guilleminot 2 Pierre Leroy 3 Gary Jacqus 4
1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle
2 Duke university [Durham]
3 CRIR - CRIR
4 CSTB - Champs
Abstract : This work is concerned with the multiscale prediction of the transport properties associated with industrial glass wool samples. In a first step, an experimental characterization is performed on various products using optical granulometry and porosity measurements. A morphological analysis, based on scanning electron imaging, is further conducted in order to identify the probability density functions associated with the fiber's angular orientation. A computational framework is subsequently proposed and allows for the reconstruction of an equivalent fibrous network. Multiscale simulations are carried out to estimate key transport properties such as the static viscous permeability and the viscous characteristic length. The results are finally compared with the experimental data and used to assess the relevance of both the reconstruction procedures and the multiscale computations.
Keywords : fibrous materials micro-macro
Type de document :
Communication dans un congrès
The 46th International Congress and Exposition on Noise Control Engineering (Inter-Noise 2017), Aug 2017, Hong-Kong, China. 2017
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Contributeur : Camille Perrot <>
Soumis le : jeudi 14 décembre 2017 - 14:52:50
Dernière modification le : samedi 3 mars 2018 - 16:18:14

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Mu He, Camille Perrot, Johann Guilleminot, Pierre Leroy, Gary Jacqus. Multiscale prediction of acoustic properties for glass wools: computational study and experimental validation. The 46th International Congress and Exposition on Noise Control Engineering (Inter-Noise 2017), Aug 2017, Hong-Kong, China. 2017. 〈hal-01664060〉

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