基于温度非线性效应的尾波干涉螺栓预紧力监测方法
DOI:
CSTR:
作者:
作者单位:

1.长沙理工大学机械与运载工程学院长沙410114; 2.天津大学精密测试技术及仪器全国重点实验室天津300072

作者简介:

通讯作者:

中图分类号:

TH878TG115.28

基金项目:

湖南省自然科学基金(2026JJ60441,2026JJ80816)、湖南省省重点研发计划(2026WK2003)项目资助


Bolt preload monitoring using coda wave interferometry with temperature-induced nonlinear effects
Author:
Affiliation:

1.College of Mechanical and Vehicle Engineering, Changsha University of Science and Technology, Changsha 410114, China; 2.State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    螺栓松动是螺栓连接结构的典型失效形式,对其预紧力的定量评估对于结构安全维护和事故预防至关重要。针对传统超声检测方法易受温度干扰且信号解释困难的局限,提出一种基于尾波干涉法(CWI)的螺栓预紧力监测方法,将环境温度从传统认知的干扰噪声转变为可控的主动激励源,主动利用温度引起的非线性效应。通过综合考虑热膨胀与热软化的耦合作用,建立了温度变化与尾波特征参数(相对速度变化Δv/v及去相关系数Kd)之间的非线性理论模型。实验采用铜铝异质材料螺栓连接结构,选取同一侧换能器布置方案以提升信号稳定性,在22.5℃~31.0℃范围内以0.5℃为步长,对15、10和6 N·m这3种扭矩状态(分别对应缓慢、快速、严重松动阶段)进行温控实验与尾波信号采集分析。结果表明,尾波对温度变化的敏感性显著高于直达波。在30℃时,3种扭矩状态下尾波的皮尔逊相关系数(PCC)分别降至0.72、0.41和0.05,降幅最高达93.06%,而直达波降幅仅为7.37%。Δv/v与ΔT呈强二次负相关(R2>0.99),其线性系数随扭矩增大而增大;Kd与ΔT呈强二次正相关(R2>0.99),其二次项系数随扭矩减小而增大,可作为区分螺栓松动程度的有效特征参数。本研究证实了利用尾波干涉法监测螺栓连接热软化效应的可行性,为变温环境下螺栓松动监测提供了基于主动温度激励的新策略,突破了传统补偿方法的局限。

    Abstract:

    Bolt loosening is a common failure mode in bolted joints, and the quantitative assessment of bolt preload is crucial for structural safety maintenance and accident prevention. To address the limitations of conventional ultrasonic testing, which is susceptible to temperature interference and difficult to interpret, this paper proposes a bolt preload monitoring method based on coda wave interferometry (CWI). This method transforms ambient temperature from a conventional source of interference noise into a controllable active excitation source, actively leveraging the nonlinear effects induced by temperature. By comprehensively considering the coupled effects of thermal expansion and thermal softening, a nonlinear theoretical model is established between temperature variations and coda wave characteristic parameters (relative velocity change Δv/v and decorrelation coefficient Kd). Experiments are conducted on a copper-aluminum heterogeneous material bolted joint structure. A single-side transducer arrangement is selected to enhance signal stability. Temperaturecontrolled experiments and wave signal acquisition and analysis are conducted within the range of 22.5℃ to 31.0℃ in 0.5℃ increments for three torque states (15, 10 and 6 N·m), corresponding to the slow, fast, and severe loosening stages, respectively. The results indicate that the sensitivity of the coda waves to temperature variations is significantly higher than that of the direct waves. At 30℃, the Pearson correlation coefficients (PCC) of the coda waves under the three torque conditions decrease to 0.72, 0.41, and 0.05, respectively, with a maximum reduction of 93.06%, whereas the reduction for the direct waves is only 7.37%. The Δv/v exhibits a strong quadratic negative correlation with ΔT (R2>0.99), with its linear coefficient increasing as torque increases. The Kd exhibits a strong quadratic positive correlation with ΔT (R2>0.99), with its quadratic coefficient increasing as torque decreases, making it an effective characteristic parameter for distinguishing different degrees of bolt loosening. This study confirms the feasibility of using coda wave interference method to monitor the thermal softening effect of bolted joints, providing a new strategy based on active temperature excitation for bolt loosening monitoring in variabletemperature environments, thereby overcoming the limitations of conventional compensation methods.

    参考文献
    相似文献
    引证文献
引用本文

贺予,黄子龙,胡宏伟,刘洋,赵成威.基于温度非线性效应的尾波干涉螺栓预紧力监测方法[J].仪器仪表学报,2026,47(8):248-257

复制
分享
相关视频

文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2026-10-29
  • 出版日期:
文章二维码