隧道围岩变形监测反演分析及稳定性研究

针对有限元方法模拟隧道开挖过程受参数取值影响导致精度降低问题，提出利用BP神经网络和数值模拟方法来对隧道围岩力学参数进行反演分析。对比实测值与模拟值，证明了反演参数的可靠性，并得到隧道的最大最小主应力和位移变化值；利用强度折减法，通过数值模拟计算相应的拱顶沉降值，通过离散点拟合来求得隧道围岩的自稳系数，分析隧道围岩的稳定性。

Inversion Analysis and Stability Study on Deformation Monitoring of Tunnel Surrounding Rock

Effected by parameter value, the accuracy of the finite element method in simulation of tunnel excavation will be reduced. The BP neural network and numerical simulation method are used to analyze the mechanics parameters of tunnel surrounding rock. The study shows that, comparing measured and simulated values, the reliability of the inversion parameters is proved, the maximum minimum principal stress and the change of the displacement of the tunnel are obtained, and the corresponding value of the settlement of the vault is calculated by the strength reduction method, and the self-stability coefficient of the surrounding rock of the tunnel is obtained by the discrete point fitting, and the tunnel circumference is analyzed.