Yang, J, Akanji, O, Hutchins, DA et al. (6 more authors) (2014) Time-delay estimation and correlation analysis of acoustic signals in granular media using wavelet decomposition. In: 2014 IEEE International Ultrasonics Symposium. IUS, 03-06 Sep 2014, Chicago, IL, USA. IEEE , pp. 2529-2532.
Abstract
The transmission of pulsed ultrasonic signals along a chain of spheres has been studied experimentally, with a view to determine the exact nature of propagation along such chains at ultrasonic frequencies. The transmitted signals were measured using a laser vibrometer, and the resultant waves were analyzed using wavelet decomposition. This allowed the frequency components and the first arrival time to be examined. The propagation velocity along the chain was found to be much smaller than the bulk sound speed of the sphere material. Increased non-linearity also led to higher frequencies being present at higher input levels.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2014 IEEE. This is an author produced version of a paper published in 2014 IEEE International Ultrasonics Symposium. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Granular media; Wavelet decomposition; Time-delay; Nonlinear contact law |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Aug 2016 14:21 |
Last Modified: | 26 Jan 2018 03:51 |
Published Version: | http://dx.doi.org/10.1109/ULTSYM.2014.0631 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ULTSYM.2014.0631 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:101064 |