回归模型在某城市轨道交通明挖隧道拱顶沉降监测中的应用

Application of Regression Model in Settlement Monitoring of an Urban Rail Transit Vault

城市轨道交通明挖隧道周边基坑施工过程中,由于基坑卸荷、降水的影响,会对明挖隧道结构产生不同程度的变形影响。本文基于某城市轨道交通明挖隧道拱顶沉降监测数据,分别运用单一回归模型和分段回归模型对各监测点的变形量进行拟合分析,结果表明,分段回归模型与实际监测值吻合程度更高,验证运用分段回归模型在沉降数据处理中的可行性。

During the construction process of foundation excavation near the open-excavated tunnel of urban rail transit, the dewatering and unloading phenomenon due to the foundation excavation will lead to structural deformation of the tunnel. Based on the monitored settlement of the vault of the open-excavated tunnel, piecewise regression model and full regression model are used to fit the each series of monitored data. It is shown that the results derived from piecewise regression model agrees better with the observed data, which verifies the feasibility and applicability of the piecewise regression model to the processing of the monitored data of settlement.