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A Study On Time Series Short-term Forecast Theory Based Evaluation Of Long-span Concrete Arch Bridge Operation State

Posted on:2021-02-17Degree:MasterType:Thesis
Country:ChinaCandidate:Y WuFull Text:PDF
GTID:2492306482480734Subject:Bridge and tunnel project
Abstract/Summary:
Since the 20th century,under the background of my country’s traffic road network construction,my country’s bridge engineering has made great achievements.The arch bridge structure has the advantages of simple construction,superior spanning ability,and high material performance utilization rate.At the end of the last century,the bridge type occupies the main component in the construction of my country’s transportation network.However,with the increasing operation time of bridges,under the joint action of external environment and internal factors,some bridges gradually began to show various types of deficiencies,and even collapsed.In order to grasp the operation status of bridges during the operation period more reasonably,domestic management units throughout the country have invested a large amount of funds in the installation of the safety operation monitoring system to monitor the operation status of the bridge structure.Based on the fuzzy analytic hierarchy process(ahp),combining temperature effect separation and Time Series Shortterm Prediction Theory,the research focus of this paper is to establish the structural alarm threshold and evaluation criteria to realize the comprehensive operation status evaluation of the bridge in the future.First,draw the monitoring data curve of the cross-section measurement points,find the correlation between the temperature data and other monitoring project data,and take the strain sequence as an example to establish a temperature-strain multiple linear regression model,and successfully separate the temperature effect values,proving that this method can reasonably separate the temperature effect value contained in the monitoring data.Secondly,the ARMA prediction model is established based on the Shortterm Prediction Theory of Time Series,and the practical monitoring sequence is taken as an example to illustrate the practicability of short-term prediction of monitoring sequence by the ARMA prediction model.Then,a new method for setting the alarm threshold is proposed,which combines the monitoring data and the structural finite element model after separating the temperature effect to set the alarm threshold and evaluation criteria of the bridge structure.Then,the prediction data is separated from the temperature effect and applied to the evaluation of cross-section measurement points to obtain cross-section evaluation scores and crosssection operation status alarms.Finally,based on the theory of fuzzy analytic hierarchy process(ahp)and the method of solving interval judgment matrix to obtain the optimal weight ratio,a multi-level fuzzy hierarchical state evaluation model of bridge is constructed to realize the evaluation and alarm of bridge operation state.
Keywords/Search Tags:ARMA model, operation monitoring system, alarm threshold, fuzzy analytic hierarchy process, bridge condition evaluation
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