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The deformation prediction of foundation pit slope based on time series analysis

机译:基于时间序列分析的基坑坡度变形预测

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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.
机译:边坡稳定性是确保基坑施工安全的关键。本文采用了长春市西火车站地铁基坑监测的背景。通过坑坡变形数据的时间序列分析,建立了凹坑斜率变形的自动回归移动平均模型(ARMA)。然后模型的订单由Akaike信息标准(AIC)确定。此外,使用ARMA模型完成凹坑斜率的变形预测。通过比较预测值和真正的监测值,它表明,使用时间序列分析基坑坡度的变形是合理可靠的。同时,该方法正在提供一种估计凹坑坡度稳定性的新方法。

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