地铁深基坑沉降监测数据特点分析与预测

Characteristic Analysis and Predict of Settlement Data Monitored of Deep Pit

为明确地铁深基坑开挖引起的地表沉降变形规律,结合施工过程,依据D市Z地铁站第29-48期深基坑沉降监测数据,分析出深基坑地面沉降变形的普遍特点。同时,利用灰色GM(1,1)模型,对两个典型沉降点的监测数据依据不同的施工阶段进行预测。结果表明,灰色GM(1,1)模型在深基坑的沉降预测中比较可靠,且分阶段预测精度更高。可见,深基坑的沉降变形特点与开挖施工过程密切相关,在预测时结合施工进度,能提高预测精度。该研究为日后地铁深基坑沉降监测数据分析与预测提供参考。

In order to define settlement deformation feature of ground surface caused by deep pit excavation of subway, refering to the construction process,data monitored of deep pit in D city subway station is analyzed. It is concluded that common ground subsidence deformation characteristics of deep foundation pit. At the same time,in order to forecast the settlement of two typical points of monitoring data,we used the grey GM（1,1）model according to different construction stages. Prediction results show that the gray GM（1,1）model is reliable in the prediction of deep foundation pit settlement and the prediction in stages has higher reliability. It can be seen that the deformation of deep foundation pit is closely related to the excavation and construction,which can improve the forecast precision by combining with the construction schedule. It can provide reference for the analysis and forecast of the settlement monitoring data of Metro deep foundation pit in future.