The Deformation Prediction of Foundation Pit Slope Based on Time Series Analysis

Abstract:

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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:

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 et al., "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:

$35.00

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