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The Research of Warning Technology about the Common Span Railway Bridges’ State

Author: LiYiJuan
Tutor: ZhaoWeiGang
School: RAILWAY
Course: Safety Technology and Engineering
Keywords: Railway bridges Safety state Feature extraction Real-timewarning
CLC: U446
Type: Master's thesis
Year: 2013
Downloads: 14
Quote: 0
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Abstract


The railway bridges’potential diseases increased gradually by the action of natural environment condition with the long term running and train loads, which brings hidden security dangers. Therefore, the railway bridges safety monitoring and early warning, and the research of assessment system caused the people’s attention. However, at this stage, monitoring systems were more focused on the offline damage identification, which failed to reflect the current state of the bridge. In bridge verification specification specifies various parameters of the safety limit, by some monomer bridge monitoring data analysis results show that structure does not necessarily exist damage, when the measured parameters exceed the safe limit in the specification, Visible safety limit in the specification for single bridge is not enough scientific. This paper based on the common state monitoring data of long span railway bridge early warning technology research, construct new real-time early warning parameters, set safety limits, in order to improve the real-time condition assessment and early warning technology.First of all, this paper adopts a new integration method and FFT method, turned the acceleration signals into the amplitude and the frequency domain signal to analysis the signal and extract the status indication parameter. Secondly, select the largest amplitude of state characteristic parameters combined with specification. However, the maximum amplitude usually be influenced by the train speed, load and temperature. As the result, different operation conditions is difficult to be compared and analysised. Therefore, based on the analysis of the various influence, the status indication normalized research of characteristic parameters, using the real-time monitor data correlation analysis was carried out on the train speed estimation, which eliminated the influence of the maximum amplitude. And the normalized maximum amplitude parameters was analyzed and estimated statistically. Finally, established the safety limit parameters of the early warning in the real-time.As the warning parameters were influenced by factors, such as train load, in the time domain, this paper tried to seek a characteristic parameter which can analysis and reflect its own change of state under different operating conditions. Through the bridge transverse’s amplitude’s energy distribution and frequency characteristics analysis, extract the frequency domain variance as the feature parameter to make experimental research and combining the corresponding rules, formulate the safety limit of early warning in the real-time.The warning parameters in the time domain is relatively complex during the process of normalization. It was need to identify the train axle load’s influence on the parameter, but it can realize the real-time safety warning of the railway bridges. In frequency domain analysis, to achieve the safety status of railway bridges, exploratory researched the frequency variance as early warning parameters. The parameters’ admissibility of the train speed still need the further research objectively.

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CLC: > Transportation > Road transport > Bridges and Culverts > Bridge test observations with the test
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