曲线回归分析模型在边坡位移预测中的应用研究

边坡工程监测数据的处理与分析方法众多,但都有特定的应用条件。为获得桩锚支护条件下边坡的水平位移变化规律和预测位移值,采用非负累加法对监测数据进行处理,利用最小二乘法、多元回归分析法来建立多项式回归预报模型,并结合长沙市某边坡工程对该模型进行验证。结果表明:曲线回归分析模型与监测数据拟合度高,预测值与实际情况较为吻合。

Research on Application of Curve Regression Analysis Model in Slope Displacement Prediction

There are many treatment and analysis methods for monitoring data of slope engineering under specific conditions. In order to obtain the change law of horizontal displacement of slope under the condition of pile anchor support and predicted displacement, the least square method and multiple regression analysis are adopted to establish a polynomial regression model based on the nonnegative cumulative processing of data in this paper. The model was verified by a slope project in Changsha City. The results show that the fitting degree of the curve regression analysis model and the monitoring data is high, and the predicted values are in consistent with the actual situation.