Paper Title:
The Deformation Prediction of Foundation Pit Slope Based on Time Series Analysis
  Abstract

Slope stability is the key to ensuring the safety of foundation pit construction. This paper is on the background of metro foundation pit monitoring of the West Railway Station in Changchun City. Through the time series analysis of the pit slope deformation data, the Auto Regressive Moving Average Model (ARMA) of pit slope deformation is established. Then the orders of the model are determined by the Akaike Information Criterion (AIC). Further, the deformation prediction of pit slope is finished using the ARMA model. By the comparison of the predictive value and the true monitoring value, it shows that using time series to analyze the deformation of foundation pit slope is reasonable and reliable. At the same time, this method is providing a new way to estimate the stability of pit slope.

  Info
Periodical
Chapter
Chapter 5: Structural Materials
Edited by
Linli Xu, Wenya Tian and Elwin Mao
Pages
516-520
DOI
10.4028/www.scientific.net/AMM.80-81.516
Citation
H. B. Liu, Y. Y. Sun, Y. C. Cheng, P. Jiang, Y. B. Jiao, "The Deformation Prediction of Foundation Pit Slope Based on Time Series Analysis", Applied Mechanics and Materials, Vols. 80-81, pp. 516-520, 2011
Online since
July 2011
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Price
$32.00
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