Saati, F., Hoppe, K.-A., Marburg, S. et al. (1 more author) (2022) The accuracy of some models to predict the acoustical properties of granular media. Applied Acoustics, 185. 108358. ISSN 0003-682X
Abstract
There is a general lack of understanding on the accuracy of theoretical and empirical models which can be used to predict the acoustical properties of unsaturated granular media. It is also unclear how well these models are suited for parameter inversion in application to these media. In this work three popular prediction models available in commercial software packages, e.g. COMSOL Multiphysics, are used to invert key non-acoustical parameters of two types of glass beads and two fractions of silica sand for which acoustical data are obtained with a standard acoustic impedance tube setup. These results are compared against predictions made with four established non-acoustical analytical models which relate these characteristics to the effective particle size and other pore characteristics. A discrepancy between the two model classes (acoustical and non-acoustical models) and measured data is quantified. This work also quantifies the accuracy of acoustical characterisation methods used to estimate key pore characteristics of granular media with a relatively inexpensive laboratory setup and rapid inversion method based on optimisation.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2021 Elsevier Ltd. This is an author produced version of a paper subsequently published in Applied Acoustics. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Granular; Porous; Characterisation; Inversion; Reflection; Properties; Impedance; Acoustical models; Non-acoustical models |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL EP/R005001/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Sep 2021 09:50 |
Last Modified: | 17 Sep 2022 00:14 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.apacoust.2021.108358 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:178399 |