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为了科学、准确、及时地对地铁隧道结构进行监测分析,该文将重标极差分析法引入到地铁的变形监测中,并以南京地铁为例,对长时期垂直位移时序进行了R/S分析,研究地铁沉降监测点的变化趋势,并将R/S分析的预测结果与实际监测数据进行了对比,预测结果与实测数据具有一致性。结果表明:描述和刻画复杂非线性时序的R/S分析方法,能有效地对地铁变形时间序列数据进行预测分析。地铁变形时间序列数据的Hurst指数,不仅在时间上反映不同变形的趋势性及其强度,而且在空间上反映地铁不同部位的变形趋势特征。R/S分析方法适合变形监测项目的预报分析,在变形监测中具有一定的应用前景。
In order to monitor the subway tunnel structure scientifically, accurately and in time, this paper introduces the re-calibration analysis method into the deformation monitoring of the subway. Taking the Nanjing metro as an example, the long-term vertical displacement sequence is analyzed by R / S Analyze and study the trend of subway subsidence monitoring points, and compare the predicted results of R / S analysis with the actual monitoring data. The prediction results are consistent with the measured data. The results show that the R / S method, which describes and characterizes the complex nonlinear time series, can effectively predict the time series of subway deformation data. The Hurst index of subway deformation time series data not only reflects the trend and intensity of different deformations in time, but also reflects the deformation trend characteristics of different parts of subway in space. R / S analysis method is suitable for the forecast analysis of deformation monitoring project, which has certain application prospect in deformation monitoring.