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...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
JVE International
2016-03-01
|
Series: | Journal of Vibroengineering |
Subjects: | |
Online Access: | https://www.jvejournals.com/article/16851 |
id |
doaj-eab32c84301a48f7bcfb442230b1e345 |
---|---|
record_format |
Article |
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 |
_version_ |
1725603491891642368 |