吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (增刊1): 193-197.

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Real-time prediction method of slop displacement based on time series analysis

LIU Han-bing, LI Guo-heng, TAN Guo-jin, SUN Yan-yi   

  1. College of Transportation, Jilin University, Chanchun 130022, China
  • Received:2011-12-30 Online:2012-09-01 Published:2012-09-01

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Abstract: In order to monitor the slope deformation at any time, accurately analyze and predict the trend of slop displacement deformation accurately, and ensure slope stability and reliability, a prediction model of the slope deformation trend was proposed based on time series methods and combined with the previous slope displacement monitoring data. Real-time prediction method of slop displacement based on time series was proposed. The feasibility of this method was verified after testing it on the metro west railway station in Changchun. The results can provide a new idea for slope stability analysis.

Key words: road engineering, time series, slop deformation, displacement monitoring, real-time prediction

CLC Number: 

  • U416.1
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