Analysis of Bridge Deflection Based on Time Series

Abstract:

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The bridge health monitoring system can collect large amounts of data, but it lacks the trend analysis of monitoring data. This article introduced the method of Time series analysis into the analysis of bridge monitoring data, and adopted ARIMA model in time series analysis of monitoring data, used the least square method for parameter estimation, established the prediction model for bridge deflection, and conducted the goodness of fit test. Take the actual bridge monitoring data as an example, it was demonstrated that the method is feasible in the prediction of bridge condition trend.

Info:

Periodical:

Edited by:

Dongye Sun, Wen-Pei Sung and Ran Chen

Pages:

4545-4548

DOI:

10.4028/www.scientific.net/AMM.71-78.4545

Citation:

L. Sun and X. W. Hao, "Analysis of Bridge Deflection Based on Time Series", Applied Mechanics and Materials, Vols. 71-78, pp. 4545-4548, 2011

Online since:

July 2011

Authors:

Export:

Price:

$35.00

[1] GeorgeE.P. Box, G.M. Jenkins: Time Series Analysis Prediction and Control(China Statistics Press, Beijing, 1997), in Chinese.

[2] Guangzhi Yin, Shun Yue: Journal of rock-soil mechanics, Vol. 9(2001), pp.2727-2732, in Chinese.

[3] Shuyuan He: Application of time series analysis(Peking University Press, Beijin, 2005), in Chinese.

[4] Shengxiang Huang, Hui Yin, Zheng Jiang: Deformation monitoring data processing(Wuhan University Press, Wuhan, 2003), in Chinese.

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