基于数据关联的兰新线某隧道应力状态感知与预测  

Stress State Perception and Prediction of Tunnel in Lanzhou—Xinjiang Railway Based on Data Association

作　　者：赵维刚 梅晓腾 张骞 杨勇 梁美晨 许芳 ZHAO Weigang;MEI Xiaoteng;ZHANG Qian;YANG Yong;LIANG Meichen;XU Fang(Laboratory of Structural Health Monitoring and Control,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;State Key Laboratory for Health and Safety of Bridge Structures,Wuhan 430034,China;School of Electrical and Electronic Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China)

机构地区：[1]石家庄铁道大学大型结构健康诊断与控制研究所,河北石家庄050043 [2]桥梁结构健康与安全国家重点实验室,湖北武汉430034 [3]石家庄铁道大学电气与电子工程学院,河北石家庄050043

出　　处：《铁道学报》2023年第9期195-202,共8页Journal of the China Railway Society

基　　金：国家重点研发计划(2018YFB1600200);国家自然科学基金(U2034207)。

摘　　要：地质灾害极易导致隧道结构损伤,严重威胁铁路运营安全。以兰新线某隧道所在山体发生地质灾害而导致隧道结构受损为例,采用数据关联分析方法,构建隧道应力与地表位移关联模型,分析结果表明:隧道应力差值与高家湾滑坡地表位移值呈高度线性相关性,隧道应力差值相对地表位移具有时间滞后性,且不同里程断面应力的滞后性存在“中间小,两端大”的差异性特征,滞后时间最小、最大位置分别位于加固段中部、加固段小里程端;运用隧道应力与地表位移关联模型中隧道应力各断面应力滞后性不同的特点,实现断面间应力差值精准预测,验证隧道应力相对地表位移的时间滞后性的准确性。有效关联了隧道-地表位移多源数据并形成隧道应力状态预测模型,对于实现隧道精准预警、补全缺省监测数据、降低监测冗余具有一定的参考意义。Geological disasters may cause damage to tunnel structures,which seriously threatens the operation safety of the high-speed railway.In this study,the case of tunnel structure damage caused by the Gaojiawan landslide was studied.The data association analysis method was used to construct the correlation model between the tunnel stress and surface displacement.The analysis results show that:the tunnel stress difference has a highly linear correlation with the surface displacement of the Gaojiawan landslide.The tunnel stress difference has a time lag relative to the surface displacement.The lag of stress in different mileage cross-sections has the difference characteristics of"small in the middle and large at both ends."The minimum and maximum locations of lag time are at middle of reinforcement section and small mileage side of reinforcement section respectively;Based on the characteristics of different stress hysteresis of each cross-section of tunnel stress in the correlation model between the tunnel stress and surface displacement,the accurate prediction of the stress difference between cross-sections is realized,and the accuracy of the time lag of tunnel stress relative to surface displacement is verified.This study effectively correlates the multi-source data of tunnel surface displacement and forms a tunnel stress state prediction model with a certain reference significance for realizing accurate tunnel early warning,completing the default monitoring data,and reducing the monitoring redundancy.

关 键 词：隧道应力状态感知 关联分析 隧道监测 结构状态预测 时间滞后模型 

分 类 号：U25[交通运输工程—道路与铁道工程]