GE Qi, WANG Dongfei, SUN Hongyue, SHUAI Feixiang, CHEN Zhongxuan, XU Haodi. 2019: DISPLACEMENT PREDICTION OF FILLING ROAD BED SLOPE SURFACE BASED ON DYNAMIC SPATIAL PANELS MODEL. JOURNAL OF ENGINEERING GEOLOGY, 27(2): 367-375. DOI: 10.13544/j.cnki.jeg.2018-078
    Citation: GE Qi, WANG Dongfei, SUN Hongyue, SHUAI Feixiang, CHEN Zhongxuan, XU Haodi. 2019: DISPLACEMENT PREDICTION OF FILLING ROAD BED SLOPE SURFACE BASED ON DYNAMIC SPATIAL PANELS MODEL. JOURNAL OF ENGINEERING GEOLOGY, 27(2): 367-375. DOI: 10.13544/j.cnki.jeg.2018-078

    DISPLACEMENT PREDICTION OF FILLING ROAD BED SLOPE SURFACE BASED ON DYNAMIC SPATIAL PANELS MODEL

    • There are some problems in traditional predictions of slope displacement when we take a relatively long monitoring cycle and the difficulty in monitoring dependent variables into consideration. Three kinds of problems may be caused. Firstly, models are often difficult to be built. Besides, the number of models is too large. Last but not least, spatial prediction can not be carried out. A semi-filled and semi-excavated subgrade slope is taken as the research object. The spatial correlation between different measuring points is taken into account. Based on the monitoring data of slope displacement, the basic theory of spatial econometrics and dynamic panel data are introduced. After testing and quantifying the spatial relationship between different measuring points, a dynamic spatial panel data model of slope displacement is established. The prediction results of the model is tested. Results show that the proposed model is more concise in terms of parameters, compared with traditional time series models. In addition, all monitoring points in the slope can be predicted in one model at the same time. Finally, the prediction of this model can be effective not only in time scale but also in space scale.
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