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Research On Seismic Disaster Prediction Of Urban Rail Transit Bridges

Posted on:2010-05-01Degree:MasterType:Thesis
Country:ChinaCandidate:H WuFull Text:PDF
GTID:2132360275473507Subject:Urban rail projects
Abstract/Summary:PDF Full Text Request
Once the lifeline engineering is destroyed in the earthquake, the future earthquake relief work will be in trouble. Bridge Engineering is always considered important "Lifeline Engineering". So the disaster prediction to the bridges is especially significant. It is necessary for quite a number of current urban rail transit bridges to predict their seismic resistance performance. According to the results of seismic disaster prediction, the corresponding reinforcement or maintenance methods could be work out to enhance their seismic performance, and the economic losses in the earthquake could be predicted.The disaster prediction methods of bridges were discussed in this paper by analyzing the seismic disaster which occurred on actual bridges. There are four kinds of methods for the seismic disaster prediction discussed in this paper. The seismic disaster prediction for urban transit bridges was done by using the methods of code examination, Pushover analysis procedure, empirical equations as well as BP Neural Network. The follow conclusions could be gained.â‘ Taking an urban rail transit bridges as an example, the seismic disaster was predicted in this paper by using this two methods and the results indicated that these methods are effect to the important monomer bridge.â‘¡The empirical equations suitable were developed for the seismic disaster prediction of a group of urban rail transit bridges according to the improving of empirical equations and the statistics of actual seismic disaster of bridges..â‘¢The network system was developed by using Neural Network toolbox in Matlab software basing on the theory of BP Neural network, which is effect to a group of urban rail transit bridges.
Keywords/Search Tags:bridges' disaster, urban rail transit bridge, disaster prediction, Pushover, BP Neural network
PDF Full Text Request
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