Low strain pile testing based on synchrosqueezing wavelet transformation analysis

Low strain detection, an indirect and nondestructive testing method, is one of the main pile integrity testing methods. We propose low strain testing analysis based on a synchrosqueezing wavelet transformation (SST). Through a typical model pile test, the SST is applied to identify pile bottom signa...

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Main Authors: Juncai Xu, Qingwen Ren, Zhenzhong Shen
Format: Article
Language:English
Published: JVE International 2016-03-01
Series:Journal of Vibroengineering
Subjects:
Online Access:https://www.jvejournals.com/article/16851
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spelling doaj-eab32c84301a48f7bcfb442230b1e3452020-11-24T23:11:37ZengJVE InternationalJournal of Vibroengineering1392-87162538-84602016-03-0118281382516851Low strain pile testing based on synchrosqueezing wavelet transformation analysisJuncai Xu0Qingwen Ren1Zhenzhong Shen2State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, ChinaCollege of Mechanics and Materials, Hohai University, Nanjing, ChinaCollege of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, ChinaLow strain detection, an indirect and nondestructive testing method, is one of the main pile integrity testing methods. We propose low strain testing analysis based on a synchrosqueezing wavelet transformation (SST). Through a typical model pile test, the SST is applied to identify pile bottom signal reflection time and to separate signal from noise. It is also compared with the conventional wavelet de-noising and the empirical mode decomposition (EMD) de-noising method. Results show that the SST technique can be used to identify the reflected signal of the pile bottom, achieve signal and noise separation, and improve signal-to-noise ratio. The method has significant advantage in low strain detection signal processing compared to other methods.https://www.jvejournals.com/article/16851low strain testingsynchrosqueezing wavelet transformationnondestructive testingsignal-to-noise ratio
collection DOAJ
language English
format Article
sources DOAJ
author Juncai Xu
Qingwen Ren
Zhenzhong Shen
spellingShingle Juncai Xu
Qingwen Ren
Zhenzhong Shen
Low strain pile testing based on synchrosqueezing wavelet transformation analysis
Journal of Vibroengineering
low strain testing
synchrosqueezing wavelet transformation
nondestructive testing
signal-to-noise ratio
author_facet Juncai Xu
Qingwen Ren
Zhenzhong Shen
author_sort Juncai Xu
title Low strain pile testing based on synchrosqueezing wavelet transformation analysis
title_short Low strain pile testing based on synchrosqueezing wavelet transformation analysis
title_full Low strain pile testing based on synchrosqueezing wavelet transformation analysis
title_fullStr Low strain pile testing based on synchrosqueezing wavelet transformation analysis
title_full_unstemmed Low strain pile testing based on synchrosqueezing wavelet transformation analysis
title_sort low strain pile testing based on synchrosqueezing wavelet transformation analysis
publisher JVE International
series Journal of Vibroengineering
issn 1392-8716
2538-8460
publishDate 2016-03-01
description Low strain detection, an indirect and nondestructive testing method, is one of the main pile integrity testing methods. We propose low strain testing analysis based on a synchrosqueezing wavelet transformation (SST). Through a typical model pile test, the SST is applied to identify pile bottom signal reflection time and to separate signal from noise. It is also compared with the conventional wavelet de-noising and the empirical mode decomposition (EMD) de-noising method. Results show that the SST technique can be used to identify the reflected signal of the pile bottom, achieve signal and noise separation, and improve signal-to-noise ratio. The method has significant advantage in low strain detection signal processing compared to other methods.
topic low strain testing
synchrosqueezing wavelet transformation
nondestructive testing
signal-to-noise ratio
url https://www.jvejournals.com/article/16851
work_keys_str_mv AT juncaixu lowstrainpiletestingbasedonsynchrosqueezingwavelettransformationanalysis
AT qingwenren lowstrainpiletestingbasedonsynchrosqueezingwavelettransformationanalysis
AT zhenzhongshen lowstrainpiletestingbasedonsynchrosqueezingwavelettransformationanalysis
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