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- Publisher Website: 10.1016/j.measurement.2024.114746
- Scopus: eid_2-s2.0-85191883322
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Article: Micro-crack localization for steel strands using nonlinear vibro-acoustic modulation based on modified signal bispectrum analysis
Title | Micro-crack localization for steel strands using nonlinear vibro-acoustic modulation based on modified signal bispectrum analysis |
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Authors | |
Keywords | Bispectrum analysis Contact-type defects Multi-wire strands Nonlinear signal feature extraction Vibro-acoustic modulation |
Issue Date | 30-Jun-2024 |
Publisher | Elsevier |
Citation | Measurement, 2024, v. 233 How to Cite? |
Abstract | Under continuous environmental erosion and long-time high tension, fatigue micro-cracks of bridge cables appear frequently to challenge the reliability of cables. The vibro-acoustic modulation analysis is adopted because of its sensitivity to contact-type defects, especially fatigue cracks. In this paper, using multiple sets of low-frequency vibration and high-frequency ultrasonic excitation, the propagation of the ultrasonic wave in the steel strands is studied. Then, the modulated signal bispectrum is proposed to improve the detection reliability of nonlinear modulation components in the nonlinear vibro-acoustic modulation signal of the contact-type defect. The numerical simulations and laboratory tests of straight wire, helical wire, and multi-wire strands are carried out for micro-crack detection to verify the robustness of the proposed method. Compared with the traditional method, the modulated signal bispectrum can still produce clearer peak detection under high noise conditions. The results show that it provides a promising, dynamic and rapid cable defect detection technique. |
Persistent Identifier | http://hdl.handle.net/10722/350889 |
ISSN | 2023 Impact Factor: 5.2 2023 SCImago Journal Rankings: 1.181 |
DC Field | Value | Language |
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dc.contributor.author | Yang, Dong | - |
dc.contributor.author | Wang, Kang | - |
dc.contributor.author | Zhang, Jing | - |
dc.contributor.author | Yuan, Ye | - |
dc.contributor.author | Liu, Yanhui | - |
dc.contributor.author | Au, Francis T.K. | - |
dc.date.accessioned | 2024-11-06T00:30:28Z | - |
dc.date.available | 2024-11-06T00:30:28Z | - |
dc.date.issued | 2024-06-30 | - |
dc.identifier.citation | Measurement, 2024, v. 233 | - |
dc.identifier.issn | 0263-2241 | - |
dc.identifier.uri | http://hdl.handle.net/10722/350889 | - |
dc.description.abstract | Under continuous environmental erosion and long-time high tension, fatigue micro-cracks of bridge cables appear frequently to challenge the reliability of cables. The vibro-acoustic modulation analysis is adopted because of its sensitivity to contact-type defects, especially fatigue cracks. In this paper, using multiple sets of low-frequency vibration and high-frequency ultrasonic excitation, the propagation of the ultrasonic wave in the steel strands is studied. Then, the modulated signal bispectrum is proposed to improve the detection reliability of nonlinear modulation components in the nonlinear vibro-acoustic modulation signal of the contact-type defect. The numerical simulations and laboratory tests of straight wire, helical wire, and multi-wire strands are carried out for micro-crack detection to verify the robustness of the proposed method. Compared with the traditional method, the modulated signal bispectrum can still produce clearer peak detection under high noise conditions. The results show that it provides a promising, dynamic and rapid cable defect detection technique. | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Measurement | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Bispectrum analysis | - |
dc.subject | Contact-type defects | - |
dc.subject | Multi-wire strands | - |
dc.subject | Nonlinear signal feature extraction | - |
dc.subject | Vibro-acoustic modulation | - |
dc.title | Micro-crack localization for steel strands using nonlinear vibro-acoustic modulation based on modified signal bispectrum analysis | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.measurement.2024.114746 | - |
dc.identifier.scopus | eid_2-s2.0-85191883322 | - |
dc.identifier.volume | 233 | - |
dc.identifier.eissn | 1873-412X | - |
dc.identifier.issnl | 0263-2241 | - |