基于大数据分析法的隧道变形预测

Tunnel Deformation Prediction Based on Big Data Analysis Method

深基坑开挖常常伴随基坑底部土体发生卸载回弹,从而导致围岩发生变形。借助SGIDI数据预测模型对某深基坑工程影响下的隧道进行变形预测,将得到的变形数据同数值模拟获得的完整计算变形数据进行对比,以验证模型的合理性。结果表明:数据模型预测获得的变形数据与有限元软件模拟获得的变形数据相差不大,造成差异的原因是预测模型样本库中的地质条件相较于该地区的土层更软。本研究证明了数据模型预测法可以作为预测开挖变形的一种方法。

Deep foundation pit excavation is often accompanied by unloading rebound of soil at the bottom of foundation pit,which leads to deformation of surrounding rock.The SGIDI data prediction model is used to predict the deformation of a tunnel under the influence of a deep foundation pit project.The obtained deformation data are compared with the complete calculated deformation data obtained by numerical simulation to verify the rationality of the model.The results show that the deformation data obtained by the data model prediction are not much different from the deformation data obtained by the finite element software simulation.The reason for the difference is that the geological conditions in the prediction model sample library are softer than the soil layer in the area.This study proves that the data model prediction method can be used as a method to predict the deformation of excavation.