Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental Verification
A new signal processing method called complex continuous wavelet transform (CCWT) is introduced in this paper to localize pile damage because it clearly reveals inherent characteristics of response signals. In this method, CCWT is first performed on the response signal to obtain the wavelet coeffici...
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2020-01-01
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Series: | Shock and Vibration |
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doaj-15690d3815844cf688c05aba62c246a12020-11-25T02:58:48ZengHindawi LimitedShock and Vibration1070-96221875-92032020-01-01202010.1155/2020/80586408058640Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental VerificationWenting Zheng0Sifan Wang1Chengxu Lin2Xianying Yu3Jingliang Liu4College of Civil Engineering, Fujian University of Technology, Fuzhou 350118, ChinaCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Transportation and Civil Engineering, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaA new signal processing method called complex continuous wavelet transform (CCWT) is introduced in this paper to localize pile damage because it clearly reveals inherent characteristics of response signals. In this method, CCWT is first performed on the response signal to obtain the wavelet coefficient matrix. The resultant coefficients are then employed to calculate phase angles at different frequency bands with an aim of pile damage localization. However, the CCWT method is only demonstrated via laboratory tests on pile specimens, and its application on actual piles has not been examined. Moreover, various factors such as pile-soil interaction need to be considered when the CCWT method is applied on actual piles. To address these issues, a numerical example of 3D finite element pile model followed by a parameter analysis and an experimental verification on an actual pile are investigated. The results demonstrate that the CCWT method is capable of localizing pile damage under different damage scenarios. However, there are still some interference points in the grayscale images of phase angles and the reduction of interference points needs to be addressed by mutual verification with other pile damage detection methods and engineering experience.http://dx.doi.org/10.1155/2020/8058640 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wenting Zheng Sifan Wang Chengxu Lin Xianying Yu Jingliang Liu |
spellingShingle |
Wenting Zheng Sifan Wang Chengxu Lin Xianying Yu Jingliang Liu Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental Verification Shock and Vibration |
author_facet |
Wenting Zheng Sifan Wang Chengxu Lin Xianying Yu Jingliang Liu |
author_sort |
Wenting Zheng |
title |
Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental Verification |
title_short |
Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental Verification |
title_full |
Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental Verification |
title_fullStr |
Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental Verification |
title_full_unstemmed |
Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental Verification |
title_sort |
damage localization of piles based on complex continuous wavelet transform: numerical example and experimental verification |
publisher |
Hindawi Limited |
series |
Shock and Vibration |
issn |
1070-9622 1875-9203 |
publishDate |
2020-01-01 |
description |
A new signal processing method called complex continuous wavelet transform (CCWT) is introduced in this paper to localize pile damage because it clearly reveals inherent characteristics of response signals. In this method, CCWT is first performed on the response signal to obtain the wavelet coefficient matrix. The resultant coefficients are then employed to calculate phase angles at different frequency bands with an aim of pile damage localization. However, the CCWT method is only demonstrated via laboratory tests on pile specimens, and its application on actual piles has not been examined. Moreover, various factors such as pile-soil interaction need to be considered when the CCWT method is applied on actual piles. To address these issues, a numerical example of 3D finite element pile model followed by a parameter analysis and an experimental verification on an actual pile are investigated. The results demonstrate that the CCWT method is capable of localizing pile damage under different damage scenarios. However, there are still some interference points in the grayscale images of phase angles and the reduction of interference points needs to be addressed by mutual verification with other pile damage detection methods and engineering experience. |
url |
http://dx.doi.org/10.1155/2020/8058640 |
work_keys_str_mv |
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1715337578339631104 |