This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Material Characterization of Multi-Layered Noise Control Treatments from Random-Incidence Transmission Loss
Technical Paper
2019-01-1575
ISSN: 0148-7191, e-ISSN: 2688-3627
This content contains downloadable datasets
Annotation ability available
Sector:
Language:
English
Abstract
Sound propagation through noise control treatment is governed by fluid, mechanical and geometric properties of the materials. The knowledge of material properties is important to improve the acoustical performance of the resulting noise control products. A method based on optimization together with genetic algorithm is used to estimate material properties of multi-layered treatments. Unlike previous inverse characterization approaches based on normal incidence performance metrics measured using standing wave impedance tubes, the current approach is based on random incidence performance metrics. Specially, the insertion loss ‘measured’ from two room transmission loss suite is utilized. To validate the applicability of the proposed method, numerically synthesized insertion loss computed from known material properties are used. In order to properly represent the ‘measured’ values, noise is added to the numerically synthesized insertion loss values. Additionally, the effect of the number of measurement points on the accuracy of the solutions is also investigated. The utility and applicability of the proposed inverse characterization approach are validated by comparing the estimated material properties to the corresponding ‘actual’ values.
Recommended Content
| Technical Paper | Modeling Noise Control Materials |
| Technical Paper | Ease of Conversation Development Method for Passenger Vehicles |
Authors
Citation
Yang, W., de Alba Alvarez, R., and Raveendra, R., "Material Characterization of Multi-Layered Noise Control Treatments from Random-Incidence Transmission Loss," SAE Technical Paper 2019-01-1575, 2019, https://doi.org/10.4271/2019-01-1575.Data Sets - Support Documents
| Title | Description | Download |
|---|---|---|
| Unnamed Dataset 1 | ||
| Unnamed Dataset 2 | ||
| Unnamed Dataset 3 |
Also In
References
- Allard , J.F. and Atalla , N. Propagation of Sound in Porous Media: Modelling Sound Absorbing Materials John Wiley & Sons 2009
- Yang , W. , Dinsmore , M. , Castel , A. , de Alba Alvarez , R. et al. Acoustic Simulation of Multilayered Noise Control Treatment with Porous Material SAE Technical Paper 2018-01-0144 2018 10.4271/2018-01-0144
- Atalla , Y. and Panneton , R. Inverse Method for Identification of the Viscous and Thermal Characteristic Lengths of Rigid Open-Cell Porous Materials Transactions on Modelling and Simulation in Computational Methods and Experimental Measurements 1999
- Atalla , Y. and Panneton , R. Inverse Acoustical Characterization of Open Cell Porous Media Using Impedance Tube Measurements Canadian Acoustics 33 11 24 2005
- Hentati , T. , Bouazizi , L. , Taktak , M. , Trabelsi , H. et al. Multi-Levels Inverse Identification of Physical Parameters of Porous Materials Applied Acoustics 108 26 30 2016
- Zhang , B. and Zhu , J. Inverse Methods of Determining the Acoustical Parameters of Porous Sound Absorbing Metallic Materials 22nd International Congress on Acoustics Buenos Aires, Argentina 2016
- Coser , L. , Siviero , D. , Huallpa , B. , Arruda , J. , et al. On the Experimental Inverse Characterization of Poroelastic Materials using an Impedance Tube Proceedings of ISMA2014 Leuven, Belgium 2014
- Bolton , J.S. and Hong , K. Inverse Characterization of Poro-Elastic Materials based on Acoustical Data The Journal of the Acoustical Society of America 129 2297 2009
- ESI Group Users’ Guide of FOAM-X 2018
- Lyon , R. and DeJong , R. Theory and Application of Statistical Energy Analysis Second Newton, MA Butterworth-Heinemann 1995
- ESI Group Users’ Guide of VA One 2018
- Gen , M. and Cheng , R. Genetic Algorithms and Engineering Optimization John Wiley & Sons, Inc. 2000