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  5. Wavelet analysis of bender element signals
 
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Wavelet analysis of bender element signals

Author(s)
Bonal, Julien  
Donohue, Shane  
McNally, Ciaran  
Uri
http://hdl.handle.net/10197/2439
Date Issued
2012-03-01
Date Available
2010-08-26T15:21:37Z
Abstract
Accurate determination of shear wave arrival time using bender elements may be severely affected by a combination of near field effects and reflected waves. These may mask the first arrival of the shear wave, making its detection difficult in the time domain. This paper describes an approach for measuring the shear wave arrival time through analysis of the output signal in the time-scale domain using a multi-scale wavelet transform. The local maxima lines of the wavelet transform modulus are observed at different scales and all singularities are mathematically characterised, allowing subsequent detection of the singularity relating to the first arrival. Examples of the use of the approach on typical synthetic and experimental bender element signals are also supplied, and these results are compared to those from other time and frequency domain approaches. The wavelet approach is not affected by near field effects and instead is characterised by a relatively consistent singularity related to the shear wave arrival time, across a range of frequencies and noise levels.
Sponsorship
Not applicable
Type of Material
Journal Article
Publisher
Institution of Civil Engineers/Thomas Telford Publishing
Journal
Geotechnique
Volume
62
Issue
3
Start Page
243
End Page
252
Copyright (Published Version)
2010 Thomas Telford Publishing Ltd.
Subjects

Wavelet

Bender element

Signal processing

Singularity

Subject – LCSH
Wavelets (Mathematics)
Signal processing
Shear waves--Measurement
DOI
10.1680/geot.9.P.052
Web versions
http://dx.doi.org/10.1680/geot.9.P.052
Language
English
Status of Item
Peer reviewed
ISSN
0016-8505
0016-8505
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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Owning collection
Civil Engineering Research Collection
Mapped collections
Critical Infrastructure Group Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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