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作者:

Zhang, Longguan (Zhang, Longguan.) | Jia, Junfeng (Jia, Junfeng.) (学者:贾俊峰) | Bai, Yulei (Bai, Yulei.) | Du, Xiuli (Du, Xiuli.) | Guo, Binli (Guo, Binli.) | Guo, He (Guo, He.)

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EI Scopus SCIE

摘要:

Accurate prediction of the effective pre-stress in steel strands is of great importance for service performance assessment in pre-stressed structures. In this study, a new parameter for characterizing the pre-stress in steel strand is proposed, named energy leakage ratio (alpha EL) of ultrasonic guided wave (UGW). Firstly, the propagation of UGW between wires of the strand was theoretically analyzed. Then, finite element (FE) models of steel strand were established and laboratory experiments were conducted to verify the effectiveness and accuracy of the proposed alpha EL-based pre-stress evaluation approach. Results show that alpha EL increases linearly with inter-wire contact width. alpha EL can be taken as a new parameter for strand pre-stress identification, it shows a high linear correlation with pre-stress level, no matter whether the excitation position is located in core or helical wire. In terms of numerical and experimental results, the alpha EL-based pre-stress evaluation errors are within 3% and 4% respectively. Compared with the acoustoelastic effect based and nonlinear ultrasonic based approaches, the alpha ELbased approach showed the advantage in pre-stress identification accuracy.

关键词:

Energy leakage Steel strand Ultrasonic guided wave Pre-stress Inter-wire contact

作者机构:

  • [ 1 ] [Zhang, Longguan]Beijing Univ Technol, State Key Lab Bridge Engn Safety & Resilience, Beijing 100124, Peoples R China
  • [ 2 ] [Jia, Junfeng]Beijing Univ Technol, State Key Lab Bridge Engn Safety & Resilience, Beijing 100124, Peoples R China
  • [ 3 ] [Bai, Yulei]Beijing Univ Technol, State Key Lab Bridge Engn Safety & Resilience, Beijing 100124, Peoples R China
  • [ 4 ] [Du, Xiuli]Beijing Univ Technol, State Key Lab Bridge Engn Safety & Resilience, Beijing 100124, Peoples R China
  • [ 5 ] [Guo, Binli]CCCC Infrastructure Maintenance Grp Co Ltd, Beijing, Peoples R China
  • [ 6 ] [Guo, He]CCCC Rd & Bridge Inspection & Maintenance Co LTD, Beijing, Peoples R China

通讯作者信息:

  • [Jia, Junfeng]Beijing Univ Technol, State Key Lab Bridge Engn Safety & Resilience, Beijing 100124, Peoples R China;;

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来源 :

MEASUREMENT

ISSN: 0263-2241

年份: 2024

卷: 233

5 . 6 0 0

JCR@2022

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SCOPUS被引频次: 3

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