光学技术, 2014, 40 (1): 66, 网络出版: 2014-05-23  

隧道二次衬砌监测的非线性回归分析研究

Nonlinear regression analysis research on tunnel secondary lining monitoring
作者单位
1 昆明理工大学 信息工程与自动化学院, 昆明 650500
2 江苏中天日立光缆有限公司, 江苏 南通 226463
摘要
隧道二次衬砌性能劣化是影响隧道健康运营的主要病害, 利用光纤通信技术对二次衬砌进行结构安全性分析, 是保证隧道工程健康运营的重要手段。以埋入式光纤Bragg光栅应变传感器对田心隧道二次衬砌监测的实际数据为依据, 选择最佳的典型函数模型对隧道的监测数据进行非线性回归分析, 得出能够反映应变发展变化趋势的回归曲线, 预测支护结构(监测点)的应变趋势, 判断支护效果, 对隧道支护结构当前的和最终的稳定性进行分析, 从而实现对隧道结构部的稳定性判断。
Abstract
The performance degradation of secondary lining is the main disease that affects the tunnel operation. Therefore, safety analysis on the secondary lining structure by optical fiber communication technology means importance to the tunnel operates health. According to the actual monitoring data, which is monitored by the optical fiber Bragg grating strain sensor embedded on the secondary lining of Tianxin tunnel, the best typical function model are selected for the non-linear regression analysis and then the regression curves which reflect the strain development variation trend are obtained. Results indicate that test methods achieved the judgment of tunnel structure stability by forecasting support nursing structure (monitoring points) strain trend, judging support nursing effect and analyzing on current and eventually tunnel stability of supporting structure.

郭丽君, 郭丹, 何弼, 杨彤瑶, 许晓平, 谢涛, 赵振刚, 李英娜, 李川. 隧道二次衬砌监测的非线性回归分析研究[J]. 光学技术, 2014, 40(1): 66. GUO Lijun, GUO Dan, HE Bi, YANG Tongyao, XU Xiaoping, XIE Tao, ZHAO Zhengang, LI Yingna, LI Chuan. Nonlinear regression analysis research on tunnel secondary lining monitoring[J]. Optical Technique, 2014, 40(1): 66.

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