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Author:

Wang, Xiaoran (Wang, Xiaoran.) | Chen, Yongjia (Chen, Yongjia.) | Liu, Zenghua (Liu, Zenghua.) (Scholars:刘增华) | Zhang, Jianing (Zhang, Jianing.) | Li, Hongyu (Li, Hongyu.)

Indexed by:

Scopus SCIE

Abstract:

Bolted joints frequently experience loosening in vibrating environments, posing a threat to structural safety. Therefore, quantitatively assessing bolt loosening is critical. This study reveals the correlation between bolt preload and acoustic emission (AE) signal characteristics at the connection interface under vibration, establishing a method for quantitatively assessing the tightening state of bolted joints. First, an AE testing platform was constructed to capture AE signals across varying preload forces, enabling the calculation of frequency and energy parameters. Next, leveraging the relationship between these AE characteristics and preload force, a loosening index was developed to quantitatively assess the extent of bolt loosening. Finally, a quantitative AE-based assessment method and workflow for evaluating bolted joint status were developed, allowing for effective assessment of the full transition from tightened to loosened states. This approach provides a valuable tool for detecting bolt loosening and monitoring structural health.

Keyword:

acoustic emission Bolted joint bolt loosening quantitative assessment

Author Community:

  • [ 1 ] [Wang, Xiaoran]Beijing Univ Technol, Sch Informat Sci & Technol, Beijing, Peoples R China
  • [ 2 ] [Liu, Zenghua]Beijing Univ Technol, Sch Informat Sci & Technol, Beijing, Peoples R China
  • [ 3 ] [Li, Hongyu]Beijing Univ Technol, Sch Informat Sci & Technol, Beijing, Peoples R China
  • [ 4 ] [Chen, Yongjia]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing, Peoples R China
  • [ 5 ] [Zhang, Jianing]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing, Peoples R China

Reprint Author's Address:

  • 刘增华

    [Liu, Zenghua]Beijing Univ Technol, Sch Informat Sci & Technol, Beijing, Peoples R China

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Source :

NONDESTRUCTIVE TESTING AND EVALUATION

ISSN: 1058-9759

Year: 2025

2 . 6 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 14

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