A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm
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...
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Gruppo Italiano Frattura
2020-10-01
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doaj-11d58531f4ec42d7ad926175e8fc7ef92020-11-25T04:00:33ZengGruppo Italiano FratturaFrattura ed Integrità Strutturale1971-89932020-10-011454365510.3221/IGF-ESIS.54.0310.3221/IGF-ESIS.54.03A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity AlgorithmArun Kumar KMallikarjuna Reddy DIn 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.https://www.fracturae.com/index.php/fis/article/view/2793/3063mode shapeswaveletstructural damage detectionhoelder exponentlocal regularity |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Arun Kumar K Mallikarjuna Reddy D |
spellingShingle |
Arun Kumar K Mallikarjuna Reddy D A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm Frattura ed Integrità Strutturale mode shapes wavelet structural damage detection hoelder exponent local regularity |
author_facet |
Arun Kumar K Mallikarjuna Reddy D |
author_sort |
Arun Kumar K |
title |
A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm |
title_short |
A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm |
title_full |
A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm |
title_fullStr |
A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm |
title_full_unstemmed |
A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm |
title_sort |
novel method to estimate the damage severity using spatial wavelets and local regularity algorithm |
publisher |
Gruppo Italiano Frattura |
series |
Frattura ed Integrità Strutturale |
issn |
1971-8993 |
publishDate |
2020-10-01 |
description |
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. |
topic |
mode shapes wavelet structural damage detection hoelder exponent local regularity |
url |
https://www.fracturae.com/index.php/fis/article/view/2793/3063 |
work_keys_str_mv |
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