温度对振弦式传感器监测数据的影响及其误差修正方法研究

STUDY ON INFLUENCE OF TEMPERATURE ON MONITORING DATA OF VIBRATING WIRE SENSORS AND ON ITS ERROR CORRECTION METHOD

  • 摘要: 为降低温度对振弦式传感器监测数据的影响,确保监测数据准确反映结构物的真实应变状态,该文基于振弦式传感器工作原理和温度作用机制,系统分析了温度误差产生机理,并构建不同约束条件下传感器的温度误差模型,揭示了传感器监测应变、真实应变、机械应变和温度应变之间的关系,提出了一种有效的振弦式传感器温度修正系数求解方法。研究结果表明:在温度作用下,传感器监测应变并不等于其真实应变,而是由钢弦张力所决定;监测数据中的温度相关分量实为结构物温度-应变系数与钢弦热膨胀系数差异所引起的温度误差,该误差不具备实际的物理意义,故将监测应变直接换算为应力的方法并不准确,应对其中的温度误差进行修正;由于隧道支护结构约束的影响,不同位置及类型传感器的温度修正系数均不相同,实际应用中不应依赖室内试验获取的温度修正系数,应对每个传感器进行独立分析和温度误差修正;基于分段拟合和均值统计的温度误差修正方法能有效分离监测数据中的温度相关分量,其效果优于传统方法及主成分分析法、小波变换法和经验模态分解法等温度效应分离方法;隧道工程中振弦式传感器的温度误差约占监测数据的25%,对其进行修正十分必要。

     

    Abstract: Temperature significantly influences the monitoring data from vibrating wire strain gauges (VWSGs) in tunnel engineering. Based on the working principle and on thermal response characteristics of VWSGs, this study systematically investigates the mechanism of temperature-induced errors. A temperature error model is thusly established to clarify the relationship among the monitored strain, true strain, mechanical strain, and thermal strain. A novel approach using segmented fitting and mean statistics is proposed to determine temperature correction coefficients for VWSGs. Research results indicate that the monitored strain primarily reflects steel wire tension rather than true structural strain. The temperature-related component in the monitoring data stems from the difference in thermal expansion coefficients between the structure and the steel wire, representing measurement error devoid of physical significance. Therefore, directly converting the monitored strain into structural stress is inaccurate. Due to structural constraints, temperature correction coefficients vary depending on sensor location and type. Coefficients derived from laboratory conditions show limited applicability in the field, necessitating individualized correction for each sensor. The correction method proposed effectively separates temperature-induced errors from the monitoring data and outperforms conventional correction techniques, as well as methods such as principal component analysis, wavelet transform, and empirical mode decomposition. Temperature-induced errors are found to account for approximately 25% of monitored strain in tunnel engineering, highlighting the essential role of error correction in structural health monitoring.

     

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