隧道围岩压力的变化是导致公路隧道岩块错动、掉块、甚至塌方的重要因素。结合田心隧道工程, 将一种可以把压力转变成光纤Bragg光栅波长移位的FBG土压力传感器应用于隧道围岩压力的监测; 将40支土压力传感器安装在20个代表性断面中。采用非线性回归分析统计方法对隧道的量测数据进行分析, 比较了监测数据的处理分析方法, 选取最优的非线性回归分析模型。监测数据与回归拟合数据分析表明, 非线性回归分析预测方法不仅可以反映隧道围岩变形和压力变化过程, 还能根据其变化趋势进行结构异常判断。

The variation of tunnel surrounding rock pressure is an important factor that leads to highway tunnel rock ruptures, impellers, and even collapses. Combined with the Tianxin of Tunnel Engineering, the shift FBG of soil pressure sensor that can convert pressure into optical fiber Bragg grating wavelength is used to monitor the pressure of tunnel surrounding rock. The 40 soil pressure sensors are installed in the 20 representative sections. Using nonlinear regression analysis statistics method, the measured data of a tunnel are analyzed. Comparing the monitored data processing analysis methods, the optimal model of nonlinear regression analysis is selected. The analysis of the data monitored and the regression fitting of data indicates the predictive method of nonlinear regression analysis not only can reflect the deformation of tunnel surrounding rock and the process that stress changes, but also estimate the structural abnormality according to the changing tendency.