Damage imaging identification of plate structures based on linear array near-field MUSIC algorithm.

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Title: Damage imaging identification of plate structures based on linear array near-field MUSIC algorithm.
Authors: Yan, Shi1 (AUTHOR) cesyan@sjzu.edu.cn, Zhu, Ruifeng1,2 (AUTHOR), Wang, Xuenan1 (AUTHOR), Chen, Xiukun1 (AUTHOR)
Source: Nondestructive Testing & Evaluation. Aug2025, Vol. 40 Issue 8, p3545-3577. 33p.
Subjects: Multiple Signal Classification, Lamb waves, Signal separation, Structural plates, Structural analysis (Engineering), Finite element method
Abstract: The paper proposes a damage imaging identification method for plate structures based on piezoelectric Lamb waves and the MUSIC algorithm, focusing on enhancing the accuracy of damage identification by using the sensing signal mode separation technique, and on the MUSIC-algorithm-based damage level evaluation. The mode separation of damage scattering signals is realised by using pairwise geometric symmetry to simplify the processing of sensing signals and improving the accuracy of damage imaging. A damage factor constructed by using the maximum eigenvalue of the sensing signal matrix is proposed, and it is combined with imaging technology to realise the precise locating and preliminary evaluation of damage. A combination of finite element simulation and experimental validation is used to verify the effectiveness of the proposed method. The results show that accurate damage localisation imaging can be obtained by using a mode-separated damage scattering signal; the damage level has an approximately linear relationship with the damage factor, which can be used to initially recognise the damage level. Within a certain level of damage, the proposed method has high accuracy and stability, enhancing the effectiveness of the damage identification technology for plate structures based on the MUSIC algorithm. [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.)
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  Label: Title
  Group: Ti
  Data: Damage imaging identification of plate structures based on linear array near-field MUSIC algorithm.
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  Data: <searchLink fieldCode="AR" term="%22Yan%2C+Shi%22">Yan, Shi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cesyan@sjzu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Zhu%2C+Ruifeng%22">Zhu, Ruifeng</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xuenan%22">Wang, Xuenan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Xiukun%22">Chen, Xiukun</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Nondestructive+Testing+%26+Evaluation%22">Nondestructive Testing & Evaluation</searchLink>. Aug2025, Vol. 40 Issue 8, p3545-3577. 33p.
– Name: Subject
  Label: Subjects
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  Data: <searchLink fieldCode="DE" term="%22Multiple+Signal+Classification%22">Multiple Signal Classification</searchLink><br /><searchLink fieldCode="DE" term="%22Lamb+waves%22">Lamb waves</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+separation%22">Signal separation</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+plates%22">Structural plates</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+analysis+%28Engineering%29%22">Structural analysis (Engineering)</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+element+method%22">Finite element method</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The paper proposes a damage imaging identification method for plate structures based on piezoelectric Lamb waves and the MUSIC algorithm, focusing on enhancing the accuracy of damage identification by using the sensing signal mode separation technique, and on the MUSIC-algorithm-based damage level evaluation. The mode separation of damage scattering signals is realised by using pairwise geometric symmetry to simplify the processing of sensing signals and improving the accuracy of damage imaging. A damage factor constructed by using the maximum eigenvalue of the sensing signal matrix is proposed, and it is combined with imaging technology to realise the precise locating and preliminary evaluation of damage. A combination of finite element simulation and experimental validation is used to verify the effectiveness of the proposed method. The results show that accurate damage localisation imaging can be obtained by using a mode-separated damage scattering signal; the damage level has an approximately linear relationship with the damage factor, which can be used to initially recognise the damage level. Within a certain level of damage, the proposed method has high accuracy and stability, enhancing the effectiveness of the damage identification technology for plate structures based on the MUSIC algorithm. [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.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10589759.2024.2405877
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      – Code: eng
        Text: English
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        PageCount: 33
        StartPage: 3545
    Subjects:
      – SubjectFull: Multiple Signal Classification
        Type: general
      – SubjectFull: Lamb waves
        Type: general
      – SubjectFull: Signal separation
        Type: general
      – SubjectFull: Structural plates
        Type: general
      – SubjectFull: Structural analysis (Engineering)
        Type: general
      – SubjectFull: Finite element method
        Type: general
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      – TitleFull: Damage imaging identification of plate structures based on linear array near-field MUSIC algorithm.
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            NameFull: Yan, Shi
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            NameFull: Zhu, Ruifeng
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            NameFull: Wang, Xuenan
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            NameFull: Chen, Xiukun
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            – D: 01
              M: 08
              Text: Aug2025
              Type: published
              Y: 2025
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