2014年4月上施工技术 第43卷第7期CONSTRUCTION TECHNOLOCY103 DOI:10. 7672/sgjs2014070103
高铁隧道沉降变形评估方法分析* 陈冠宇"，文鸿雁²，周吕”，胡纪元” 3.广西矿冶与环境科学实验室，广西桂林541004)
【摘要】科学合理评估是高速铁路沉降变形监测的关键环节。
由于观测环境和仪器设备等因素的影响，变形监测 数据中不可避免含有大量的随机误差，使高铁隧道沉降变形曲线呈现“小量级，大波动”的现象。
以某高铁隧道沉 降变形监测数据为例，提出一种改进的阅值处理方法在小波分析中的应用，以改善传统阔值法中存在的不连续性 及过渡平滑问题。
并分别采用Kalman滤波、小波分析方法对监测数据进行去噪处理，然后用去噪前后的数据进行 沉降变形评估分析。
通过实例分析表明：基于改进后的小波分析的沉降变形评估的相关系数和可靠性较Kalman 滤波方法与传统方法高，沉降变形曲线更平滑，沉降趋势更明显，具有更好的应用价值。
[关键词]高速铁路；隧道；小波分析；沉降；变形；阔值 [中图分类号】U445【文献标识码】A【文章编号】1002-8498（2014)07-0103-04 Analysis ofAssessmentMethodsforSettlementDeformation on High-speed Railway Tunnel Chen Guanyu'，Wen Hongyan²，Zhou Lo²,Hu Jiyuan? (1.Guangxi Key Laboratory of Spatial Information and Geomatis,Guilin，Guangxi 541004,China; 2.College of Geomatics and Geoinformation，Guilin Universty of Technology，Guilin,Guangxi 541004,China; 3.Guangxi Scientific Experiment Center of Mining，Metuallurgy and Environment，Guilin，Guangxi 541004，China) Abstract;Scientific and rational assessment is a key link of high-speed railway settlement monitoring. Under the influence of the observation environment，equipment and other factors， there are many of inevitable random error in deformation monitoring data,so that the high-speed railway tunnel deformation tunnel setlement deformation monitoring data for example,and puts forward an improved threshold processing method in the application of wavelet analysis，so as to improve the discontinuity and the wavelet analysis to denoise the monitoring data,and then use the data denoising before and after to do the settlement deformation assessment and analysis. The analysis of the example shows that the settlement deformation assessment based on the improved wavelet analysis which has good application value has higher correlation coefficient and reliability，better settlement deformation curve smoothness and more obvious setlement trend pared to the Kalman filtering method and the traditional method. Key words:high-speed railway; tunnels; wavelet ...
