Simultaneous detection of muli-type damage in highway prefabricated bridges by nondestructive impact testing.

Saved in:
Bibliographic Details
Title: Simultaneous detection of muli-type damage in highway prefabricated bridges by nondestructive impact testing.
Authors: Xu, Xinxiang1 (AUTHOR), Zhan, Jiawang1 (AUTHOR) jwzhan@bjtu.edu.cn, Wang, Chuang1 (AUTHOR), Wang, Zhihang1 (AUTHOR), Wang, Yujie1 (AUTHOR), Ni, Zhen1 (AUTHOR)
Source: Nondestructive Testing & Evaluation. Sep2026, Vol. 41 Issue 9, p5380-5408. 29p.
Subjects: Structural health monitoring, Nondestructive testing, Bridge design & construction, Marquardt algorithm, Bearings (Machinery)
Abstract: Highway prefabricated bridges are widely used in medium and small-span systems, where bearings and lateral connections are the most damage-prone components. However, existing damage detection methodologies primarily focus on a single type component damage, which rarely address scenarios involving both bearings and lateral connections' damage existing simultaneously. To address this limitation, this study proposes a practical and cost-effective methodology for simultaneous localisation and quantification of multi-type damage using nondestructive impact testing. Two novel benchmark-free damage localisation indicators are proposed: NVD (Normalised Virtual Deflection) for bearing damage and SSD (Spectral Similarity Difference) for lateral connection damage, both with strong sensitivity and clear physical meaning. By fusing NVD and SSD through the Levenberg-Marquardt algorithm, the method further achieves robust damage quantification function. Numerical simulations and model bridge experiment confirm the method's high accuracy, strong anti-noise performance, and high sensitivity to damage type, location, or severity. By enabling the simultaneous detection of lateral connection and bearing damage for the first time, the developed method offers a promising solution for the comprehensive evaluation of highway prefabricated bridges in actual engineering. [ABSTRACT FROM AUTHOR]
Copyright of Nondestructive Testing & Evaluation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 196386610
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Simultaneous detection of muli-type damage in highway prefabricated bridges by nondestructive impact testing.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Xu%2C+Xinxiang%22">Xu, Xinxiang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhan%2C+Jiawang%22">Zhan, Jiawang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> jwzhan@bjtu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wang%2C+Chuang%22">Wang, Chuang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Zhihang%22">Wang, Zhihang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Yujie%22">Wang, Yujie</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ni%2C+Zhen%22">Ni, Zhen</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Nondestructive+Testing+%26+Evaluation%22">Nondestructive Testing & Evaluation</searchLink>. Sep2026, Vol. 41 Issue 9, p5380-5408. 29p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Structural+health+monitoring%22">Structural health monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Nondestructive+testing%22">Nondestructive testing</searchLink><br /><searchLink fieldCode="DE" term="%22Bridge+design+%26+construction%22">Bridge design & construction</searchLink><br /><searchLink fieldCode="DE" term="%22Marquardt+algorithm%22">Marquardt algorithm</searchLink><br /><searchLink fieldCode="DE" term="%22Bearings+%28Machinery%29%22">Bearings (Machinery)</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Highway prefabricated bridges are widely used in medium and small-span systems, where bearings and lateral connections are the most damage-prone components. However, existing damage detection methodologies primarily focus on a single type component damage, which rarely address scenarios involving both bearings and lateral connections' damage existing simultaneously. To address this limitation, this study proposes a practical and cost-effective methodology for simultaneous localisation and quantification of multi-type damage using nondestructive impact testing. Two novel benchmark-free damage localisation indicators are proposed: NVD (Normalised Virtual Deflection) for bearing damage and SSD (Spectral Similarity Difference) for lateral connection damage, both with strong sensitivity and clear physical meaning. By fusing NVD and SSD through the Levenberg-Marquardt algorithm, the method further achieves robust damage quantification function. Numerical simulations and model bridge experiment confirm the method's high accuracy, strong anti-noise performance, and high sensitivity to damage type, location, or severity. By enabling the simultaneous detection of lateral connection and bearing damage for the first time, the developed method offers a promising solution for the comprehensive evaluation of highway prefabricated bridges in actual engineering. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Nondestructive Testing & Evaluation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=196386610
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10589759.2025.2549429
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 29
        StartPage: 5380
    Subjects:
      – SubjectFull: Structural health monitoring
        Type: general
      – SubjectFull: Nondestructive testing
        Type: general
      – SubjectFull: Bridge design & construction
        Type: general
      – SubjectFull: Marquardt algorithm
        Type: general
      – SubjectFull: Bearings (Machinery)
        Type: general
    Titles:
      – TitleFull: Simultaneous detection of muli-type damage in highway prefabricated bridges by nondestructive impact testing.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Xu, Xinxiang
      – PersonEntity:
          Name:
            NameFull: Zhan, Jiawang
      – PersonEntity:
          Name:
            NameFull: Wang, Chuang
      – PersonEntity:
          Name:
            NameFull: Wang, Zhihang
      – PersonEntity:
          Name:
            NameFull: Wang, Yujie
      – PersonEntity:
          Name:
            NameFull: Ni, Zhen
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 10589759
          Numbering:
            – Type: volume
              Value: 41
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Nondestructive Testing & Evaluation
              Type: main
ResultId 1