高铁隧道沉降变形评估方法分析

发布时间：2019-07-05 12:56

【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,提出一种改进的阈值处理方法在小波分析中的应用,以改善传统阈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。
[Abstract]:Scientific and reasonable evaluation is the key link of settlement and deformation monitoring of high-speed railway. Due to the influence of observation environment and instruments and equipment, there are inevitably a large number of random errors in the deformation monitoring data, which makes the settlement deformation curve of high-speed rail tunnel show a phenomenon of "small order of magnitude and great fluctuation". Taking the settlement deformation monitoring data of a high-speed railway tunnel as an example, an improved threshold processing method is proposed to improve the discontinuity and transition smoothing problems existing in the traditional threshold method. Kalman filtering and wavelet analysis are used to Denoise the monitoring data, and then the settlement deformation is evaluated and analyzed with the data before and after denoising. The example analysis shows that the correlation coefficient and reliability of settlement deformation evaluation based on improved wavelet analysis are higher than those of Kalman filtering method and traditional method, the settlement deformation curve is smoother and the settlement trend is more obvious, so it has better application value.
【作者单位】：广西空间信息与测绘重点实验室;桂林理工大学测绘地理信息学院;广西矿冶与环境科学实验室;
【基金】：国家自然科学基金项目(41071294) 广西空间信息与测绘重点实验室资助课题(桂科能1207115-06,1103108-02) 研究生教育创新计划项目(YCSZ2012083) 大学生创新创业训练计划项目(2012CHCX001,201210596003) 广西矿冶与环境科学实验中心项目(KH2012ZD004) 广西“八桂学者”岗位专项经费项目
【分类号】：U456.3

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