Experimental structural damage localization in beam structure using spatial continuous wavelet transform and mode shape curvature methods

Measurement ◽  
2017 ◽  
Vol 102 ◽  
pp. 253-270 ◽  
Author(s):  
Rims Janeliukstis ◽  
Sandris Rucevskis ◽  
Miroslaw Wesolowski ◽  
Andris Chate
Keyword(s):  
Wavelet Transform ◽  
Mode Shape ◽  
Continuous Wavelet Transform ◽  
Structural Damage ◽  
Damage Localization ◽  
Continuous Wavelet ◽  
Beam Structure

scholarly journals A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm

2020 ◽  
Vol 14 (54) ◽  
pp. 36-55
Author(s):  
Mallikarjuna Reddy ◽  
Arun Kumar K
Keyword(s):  
Wavelet Transform ◽  
Mode Shape ◽  
Continuous Wavelet Transform ◽  
Structural Damage ◽  
Damage Identification ◽  
Local Regularity ◽  
Beam Model ◽  
Continuous Wavelet ◽  
Novel Method ◽  
Shape Data

 In the process of structural damage detection using continuous wavelet transform (CWT), the perturbation or damage is located by identifying the defects locally in the input signal data.  In this work the damage identification procedure using continuous wavelet transform is developed. This method is studied numerically using a simple beam model. The influence of reduced spatial sampling using fundamental mode shape is investigated in detail. The method is also investigated to ascertain the smallest level of damage identified using strain energy mode shape data.

scholarly journals Damage Localization of Piles Based on Complex Continuous Wavelet Transform: Numerical Example and Experimental Verification

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Wenting Zheng ◽  
Sifan Wang ◽  
Chengxu Lin ◽  
Xianying Yu ◽  
Jingliang Liu
Keyword(s):  
Wavelet Transform ◽  
Experimental Verification ◽  
Continuous Wavelet Transform ◽  
Wavelet Coefficient ◽  
Parameter Analysis ◽  
Detection Methods ◽  
Damage Localization ◽  
Continuous Wavelet ◽  
Numerical Example ◽  
Phase Angles

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.

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