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...

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Bibliographic Details
Main Authors: Mallikarjuna Reddy, Arun Kumar K
Format: Article
Language:English
Published: Gruppo Italiano Frattura 2020-09-01
Series:Frattura ed Integrità Strutturale
Subjects:
Online Access:https://www.fracturae.com/index.php/fis/article/view/2793
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spelling doaj-3e874291906e4aae9bfad27b1639d3232021-01-27T17:13:20ZengGruppo Italiano FratturaFrattura ed Integrità Strutturale1971-89932020-09-011454A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity AlgorithmMallikarjuna Reddy0Arun Kumar K1VIT University, India VIT University, India  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. https://www.fracturae.com/index.php/fis/article/view/2793Mode shapeswavelet analysisstructural health monitoringHoelder exponentLocal regularity
collection DOAJ
language English
format Article
sources DOAJ
author Mallikarjuna Reddy
Arun Kumar K
spellingShingle Mallikarjuna Reddy
Arun Kumar K
A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm
Frattura ed Integrità Strutturale
Mode shapes
wavelet analysis
structural health monitoring
Hoelder exponent
Local regularity
author_facet Mallikarjuna Reddy
Arun Kumar K
author_sort Mallikarjuna Reddy
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 2020-09-01
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 analysis
structural health monitoring
Hoelder exponent
Local regularity
url https://www.fracturae.com/index.php/fis/article/view/2793
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AT mallikarjunareddy novelmethodtoestimatethedamageseverityusingspatialwaveletsandlocalregularityalgorithm
AT arunkumark novelmethodtoestimatethedamageseverityusingspatialwaveletsandlocalregularityalgorithm
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