Guidelines for Impact Echo Test Signal Interpretation Based on Wavelet Packet Transform for the Detection of Pile Defects
Nonlinear amplification is typically done on velocity signals from low-strain pile integrity tests to enhance weak echoes and superimpose any peak reflections. This conventional method may sometimes fail to untangle the hidden information within the signal that is obscured by the presence of noise....
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doaj-38a5940270944220a59e239386a4016a2020-11-25T02:04:12ZengMDPI AGApplied Sciences2076-34172020-04-01102633263310.3390/app10072633Guidelines for Impact Echo Test Signal Interpretation Based on Wavelet Packet Transform for the Detection of Pile DefectsHyeong-Joo Kim0Jose Leo Mission1Peter Rey Dinoy2Hyeong-Soo Kim3Tae-Woong Park4Department of Civil Engineering, Kunsan National University, Gunsan 573-701, KoreaHorizon Survey Company (FZE), P6-31, SAIF Zone, Sharjah 68785, UAEDepartment of Civil and Environmental Engineering, Kunsan National University, Gunsan 573-701, KoreaDepartment of Civil and Environmental Engineering, Kunsan National University, Gunsan 573-701, KoreaKunsan National University Institute of Offshore Wind Energy, Gunsan 573-701, KoreaNonlinear amplification is typically done on velocity signals from low-strain pile integrity tests to enhance weak echoes and superimpose any peak reflections. This conventional method may sometimes fail to untangle the hidden information within the signal that is obscured by the presence of noise. In this study, a pile defect identification system based on the conventional nonlinear amplification method and the wavelet packet transform (WPT) was proposed to easily detect the presence of any geometric or material defects by identifying feature parameters. Diagnostic rules, which have been lacking in the literature, were presented to serve as a guide in interpreting decomposed signals and in analyzing various characteristics of peak waveforms that are associated with certain types of defects. In this study, the finite element method was used to simulate the impact echo test of nine cases of defective piles. To verify the proposed scheme, six data sets of the nine cases of defective piles were made, in which a total of 54 piles were analyzed. The results of the study showed that the identification method based on WPT could detect defects 87.04% of the time compared to the conventional method, which only detected defects 64.81% of the time.https://www.mdpi.com/2076-3417/10/7/2633diagnostic rulepile defectsimpact echo methodwavelet packet transformnonlinear amplification |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Hyeong-Joo Kim Jose Leo Mission Peter Rey Dinoy Hyeong-Soo Kim Tae-Woong Park |
spellingShingle |
Hyeong-Joo Kim Jose Leo Mission Peter Rey Dinoy Hyeong-Soo Kim Tae-Woong Park Guidelines for Impact Echo Test Signal Interpretation Based on Wavelet Packet Transform for the Detection of Pile Defects Applied Sciences diagnostic rule pile defects impact echo method wavelet packet transform nonlinear amplification |
author_facet |
Hyeong-Joo Kim Jose Leo Mission Peter Rey Dinoy Hyeong-Soo Kim Tae-Woong Park |
author_sort |
Hyeong-Joo Kim |
title |
Guidelines for Impact Echo Test Signal Interpretation Based on Wavelet Packet Transform for the Detection of Pile Defects |
title_short |
Guidelines for Impact Echo Test Signal Interpretation Based on Wavelet Packet Transform for the Detection of Pile Defects |
title_full |
Guidelines for Impact Echo Test Signal Interpretation Based on Wavelet Packet Transform for the Detection of Pile Defects |
title_fullStr |
Guidelines for Impact Echo Test Signal Interpretation Based on Wavelet Packet Transform for the Detection of Pile Defects |
title_full_unstemmed |
Guidelines for Impact Echo Test Signal Interpretation Based on Wavelet Packet Transform for the Detection of Pile Defects |
title_sort |
guidelines for impact echo test signal interpretation based on wavelet packet transform for the detection of pile defects |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2020-04-01 |
description |
Nonlinear amplification is typically done on velocity signals from low-strain pile integrity tests to enhance weak echoes and superimpose any peak reflections. This conventional method may sometimes fail to untangle the hidden information within the signal that is obscured by the presence of noise. In this study, a pile defect identification system based on the conventional nonlinear amplification method and the wavelet packet transform (WPT) was proposed to easily detect the presence of any geometric or material defects by identifying feature parameters. Diagnostic rules, which have been lacking in the literature, were presented to serve as a guide in interpreting decomposed signals and in analyzing various characteristics of peak waveforms that are associated with certain types of defects. In this study, the finite element method was used to simulate the impact echo test of nine cases of defective piles. To verify the proposed scheme, six data sets of the nine cases of defective piles were made, in which a total of 54 piles were analyzed. The results of the study showed that the identification method based on WPT could detect defects 87.04% of the time compared to the conventional method, which only detected defects 64.81% of the time. |
topic |
diagnostic rule pile defects impact echo method wavelet packet transform nonlinear amplification |
url |
https://www.mdpi.com/2076-3417/10/7/2633 |
work_keys_str_mv |
AT hyeongjookim guidelinesforimpactechotestsignalinterpretationbasedonwaveletpackettransformforthedetectionofpiledefects AT joseleomission guidelinesforimpactechotestsignalinterpretationbasedonwaveletpackettransformforthedetectionofpiledefects AT peterreydinoy guidelinesforimpactechotestsignalinterpretationbasedonwaveletpackettransformforthedetectionofpiledefects AT hyeongsookim guidelinesforimpactechotestsignalinterpretationbasedonwaveletpackettransformforthedetectionofpiledefects AT taewoongpark guidelinesforimpactechotestsignalinterpretationbasedonwaveletpackettransformforthedetectionofpiledefects |
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1724943850834755584 |