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Research On Parameter Identification And Sensitivity Analysis Of Cable-Stayed Bridge With Three Pylons Parameters

Posted on:2013-06-04Degree:MasterType:Thesis
Country:ChinaCandidate:H Y YangFull Text:PDF
GTID:2232330377960873Subject:Bridge and tunnel project
Abstract/Summary:PDF Full Text Request
With the rapid development of economy,traffic capacity has been graduallyimproved; the requirements to traffic facilities and conditions are getting higherand higher.This paper study the construction control of three-tower cable-stayedbridges and structure parameter sensitivity analysis, identification and prediction inconstruction control,exampled by the Yangtze river highway bridge right brancharch towers cable-stayed bridge in Ma Anshan, basing on practical application andbasic theory.Firstly,finite element method analysis model is built set in the eng i-neering background of the tower cable-stayed bridge by using Midas civil2000fi-nite element software.Through modifying cable-stayed bridge control parameter,theparametric sensitivity was discussed. Secondly,relying on the results of sensitivityanalysis,dichotomy and least square method were applied to identify, simulatedlyidentify the parameters of cable-stayed bridge. In order to make design parametersfor the structure of cable-stayed bridges meet actual parameter. Also dichotomy andleast square method were compared and analysed,it turned out that the results ofdichotomy approach the actural structure parameters biphasicly, and its conver-gence properties is fast. Lastly, basing on the results of parameter sensitivity anal-ysis, the parametric prediction model was built in the cable-stayed bridges con-struction control.Modelling is present by using gray system theory.Combined withactual cases,it indicated that prediction model built by using gray system theory cando better earlier period prediction for unconstructed cable-stayed bridges.The studywill be a good reference for cable-stayed bridge construction in the future.
Keywords/Search Tags:cable-stayed bridge, construction control, parametric sensitivity analy-sis, identification and prediction
PDF Full Text Request
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