Analysis of Bridge Deflection Based on Time Series

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 71-78)
• Pages: 4545-4548
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.71-78.4545
• Online since: July 2011
• Authors: Lei Sun, Xian Wu Hao
• Keywords: ARIMA Model, Deflection Prediction, Time-Series

References

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