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基于插值指数平滑组合模型对深基坑沉降的预测研究
引用本文:李淑瑶.基于插值指数平滑组合模型对深基坑沉降的预测研究[J].测绘与空间地理信息,2018(2):183-185,189.
作者姓名:李淑瑶
作者单位:南京工业大学 测绘科学与技术学院,江苏 南京,210000
摘    要:深基坑测量在较短周期内获得的观测数据所建立的预测模型,往往不能有效地体现出深基坑非线性变形的特点。通过对深基坑实测,本文提出先使用三次样条插值法,对原始观测数据做预处理,以凸显数据的非线性特点,再使用三次指数平滑法建立串联式组合预测模型,并对沉降趋势做预测。结果表明,这种串联式组合预测模型适用于基坑沉降变形的非线性特点,相比单一的指数平滑法建立的预测模型,提高了初值拟合精度,使预测精度更高。

关 键 词:深基坑  插值法  指数平滑法  串联式组合模型  deep  foundation  pit  interpolation  method  exponential  smoothing  method  series  combined  model

Research on Deep Foundation Settlement Prediction Based on Interpolation Exponential Smoothing Combined Model
LI Shuyao.Research on Deep Foundation Settlement Prediction Based on Interpolation Exponential Smoothing Combined Model[J].Geomatics & Spatial Information Technology,2018(2):183-185,189.
Authors:LI Shuyao
Abstract:In a short period, the prediction model established by the observation data which obtained from the deep foundation pit measurement often cannot effectively reflect the nonlinear deformation characteristics of deep excavation. Found by deep excavation, first proposed using a cubic spline interpolation method, the original observation data preprocessing, to highlight the characteristics of the nonlinear data, then create a tandem combination forecasting model using a cubic exponential smoothing, and settlement trends do prediction. The results show that the tandem combination forecasting model is applicable to non-linear characteristics of Settlement Foundation deformation prediction model as compared to a single exponential smoothing, improves the accuracy of the initial value of the fitting, the prediction accuracy is higher.
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