中文摘要：

为了探寻弱膨胀土地区深基坑周边地表沉降和时间的关系,选取淮南市数码广场深基坑监测数据,采用Origin专业软件分别建立Ratkowsky模型、泊松曲线模型、对数曲线模型、二次曲线模型、三次曲线模型、幂函数曲线模型6种回归模型进行拟合分析。通过回归方程拟合度、回归方程显著性检验以及回归系数显著性检验,发现幂函数曲线模型拟合度较高。应用该模型对基坑南侧道路上DL08的监测数据进行预测,预测值与实测值相符。该非线性幂函数曲线模型可用于同一地区地表沉降的预测。

英文摘要：

In order to explore the relationship between the surface subsidence and time of the deep foundation pit in weak-expansive soil area,the Ratkowsky model,Poisson curve model,logarithmic curve model,quadratic curve model,cubic curve model and power function curve model are constructed by using Origin professional software and selecting monitoring data of deep foundation pit in Huainan Digital Square. Through fitting degree of regression equation,significant test of regression equation and regression coefficient,power function curve model was proved to have a high fitting degree,which was applied in predicting the monitoring data of the foundation pit south road DL08. The predicted value is consistent with the measured value,which means this nonlinear power function curve model could be used in surface subsidence prediction in the same area.