Paper Title:
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.

  Info
Periodical
Chapter
Chapter 8: Frontiers of Construction Information
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, 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
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Price
$32.00
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