Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition

In this research, the variational mode decomposition (VMD) method is used for the drive-by health monitoring of bridges. Firstly, the problem of a half-trailer tractor moving over a bridge is formulated. Next, a Finite Element (FE) code is developed and verified against modal analysis results where...

Full description

Saved in:
Bibliographic Details
Main Authors: Shahrooz Khalkhali Shandiz, Hamed Khezrzadeh, Saeed Eftekhar Azam
Format: Article
Language:English
Published: Gruppo Italiano Frattura 2024-10-01
Series:Fracture and Structural Integrity
Subjects:
Online Access:https://www.fracturae.com/index.php/fis/article/view/4929/4067
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832543366583156736
author Shahrooz Khalkhali Shandiz
Hamed Khezrzadeh
Saeed Eftekhar Azam
author_facet Shahrooz Khalkhali Shandiz
Hamed Khezrzadeh
Saeed Eftekhar Azam
author_sort Shahrooz Khalkhali Shandiz
collection DOAJ
description In this research, the variational mode decomposition (VMD) method is used for the drive-by health monitoring of bridges. Firstly, the problem of a half-trailer tractor moving over a bridge is formulated. Next, a Finite Element (FE) code is developed and verified against modal analysis results where complete agreement is found. The vehicle's output signals are decomposed through VMD and then analyzed to identify and precisely locate damage in the bridge structure. The range of applicability of this technique is examined from different perspectives by including various road classes, damage severity and location, and noise. The results prove the robustness and reliability of using VMD for drive-by damage detection. The method outcomes indicate that through the VMD method, cracks with a depth of 10% to 20% of the beam height can be detected even in the case of a rough road profile. A comparison of the results of the VMD and the well-known empirical mode decomposition (EMD) method has also been conducted. This comparison reveals that by implementing the VMD, precise damage locations can be determined, whereas the EMD fails to detect any damage under the conditions considered in this study. The effects of noise and moving vehicle speed are also investigated in the research, and it is found that processing the output signals using VMD can yield reliable estimates of the damage location(s).
format Article
id doaj-art-67acb2612b024c1b948565eb8736d0b9
institution Kabale University
issn 1971-8993
language English
publishDate 2024-10-01
publisher Gruppo Italiano Frattura
record_format Article
series Fracture and Structural Integrity
spelling doaj-art-67acb2612b024c1b948565eb8736d0b92025-02-03T11:47:30ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932024-10-011870255410.3221/IGF-ESIS.70.0210.3221/IGF-ESIS.70.02Introduction and application of a drive-by damage detection methodology for bridges using variational mode decompositionShahrooz Khalkhali ShandizHamed KhezrzadehSaeed Eftekhar AzamIn this research, the variational mode decomposition (VMD) method is used for the drive-by health monitoring of bridges. Firstly, the problem of a half-trailer tractor moving over a bridge is formulated. Next, a Finite Element (FE) code is developed and verified against modal analysis results where complete agreement is found. The vehicle's output signals are decomposed through VMD and then analyzed to identify and precisely locate damage in the bridge structure. The range of applicability of this technique is examined from different perspectives by including various road classes, damage severity and location, and noise. The results prove the robustness and reliability of using VMD for drive-by damage detection. The method outcomes indicate that through the VMD method, cracks with a depth of 10% to 20% of the beam height can be detected even in the case of a rough road profile. A comparison of the results of the VMD and the well-known empirical mode decomposition (EMD) method has also been conducted. This comparison reveals that by implementing the VMD, precise damage locations can be determined, whereas the EMD fails to detect any damage under the conditions considered in this study. The effects of noise and moving vehicle speed are also investigated in the research, and it is found that processing the output signals using VMD can yield reliable estimates of the damage location(s).https://www.fracturae.com/index.php/fis/article/view/4929/4067structural health monitoring (shm)drive-by sensingindirect damage detectionvariational mode decomposition (vmd) methodsignal processingfinite element method (fem)
spellingShingle Shahrooz Khalkhali Shandiz
Hamed Khezrzadeh
Saeed Eftekhar Azam
Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition
Fracture and Structural Integrity
structural health monitoring (shm)
drive-by sensing
indirect damage detection
variational mode decomposition (vmd) method
signal processing
finite element method (fem)
title Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition
title_full Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition
title_fullStr Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition
title_full_unstemmed Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition
title_short Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition
title_sort introduction and application of a drive by damage detection methodology for bridges using variational mode decomposition
topic structural health monitoring (shm)
drive-by sensing
indirect damage detection
variational mode decomposition (vmd) method
signal processing
finite element method (fem)
url https://www.fracturae.com/index.php/fis/article/view/4929/4067
work_keys_str_mv AT shahroozkhalkhalishandiz introductionandapplicationofadrivebydamagedetectionmethodologyforbridgesusingvariationalmodedecomposition
AT hamedkhezrzadeh introductionandapplicationofadrivebydamagedetectionmethodologyforbridgesusingvariationalmodedecomposition
AT saeedeftekharazam introductionandapplicationofadrivebydamagedetectionmethodologyforbridgesusingvariationalmodedecomposition