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.
Publisher
Trans Tech Publications, Ltd.
Reference7 articles.
1. Box G E P, Jenkins G M, Reinsel G C. Time series analysis: forecasting and control (the third edition) [M]. NY: Prentice-Hall Inc, (1994).
2. Brockwell P J, Davis R A. Introduction to time series and forecasting (second edition) [M]. New York: Springer Verlag, (2002).
3. Monitoring program of metro pit of west railway station in Changchun city [M]. (2010).
4. Housner G W, Bergman L A, Caughey T K, et al. Structural control: past, present and future [J]. Journal of Engineering Mechanics, 1997, 123(9): 897-971.
5. Engle R F. Autoregressive conditional hetero-skedasticity with estimates of the variance of United Kingdom inflation [J]. Econometric a, 1982, (50): 987-1007.
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