Construction Control And Optimization Analysis Of Conerete-filled Steel Tubular Arch Bridge With Long Span

Due to the advantages of concrete filled steel tubular arch bridges, such asbeautiful alignment, reasonable load, convenient construction etc, this kind of bridgehas been rapid developed at home and abroad in recent years. But the constructiondifficulty does gradually increase with the growing span and the complex structures.To ensure the arch rib and deck alignment meet the requirements of the design code,corresponding construction measures should be taken. Taking Qinjiang River Bridgeas the background, the key problems in conclusions process is analyzed in this thesis.The major research contents and conclusions are listed as follows:(1) This thesis briefly introduces the development, research status and certainproblems of the concrete filled steel tubular arch bridges. And summarize the purposeand significance of the corresponding construction measures, its theory and methods.(2) Starting with the introduction of erection methods of arch bridges, differenterection methods and their applicability are analyzed briefly. Based on theconstruction of Qinjiang River Bridge, this thesis introduces the nothing support thickrope hoists the oblique knot pulling of hoisting jack and hangs the constructionprocedure.(3) This paper expound the construction of concrete filled steel tubular archbridge calculation method and theory. Introduced the content of the constructioncalculation based onQinjiang RiverBridge.(4) Introduced the analysis methods of construction control for concrete-filledsteel tube arch bridge.Introducedthe principles and steps of optimization by the BPneural network and genetic algorithm in detail in this paper.(5) In theengineering background of QinjiangRiver Bridge, This article did somejob in optimization of cable force using the orthogonal experiment design method,Put each set button cable forceinto the calculation of MIDAS model, Obtain somesets of input and output sample. Make buckle cable force as the input samples and thecontrol section of displacement as the output sample, using BP neural network to trainthese samples, and combined with genetic algorithm (GA) to find out the optimal cable force.To put the optimal cable force to the model in reverse, compare the resultswhich trained out by BP neural network with the results by MIDAS model, To verifythe cable force optimization method is reasonable and effective, and meet theaccuracy requirement.(6) Put forward two different filling sequence,analysistwo kinds of fillingsequence from the stress of the chord reserves and the stability of perfusion in theprocess.(7) Analysis QinjiangRiver Bridge displacement and stress of the measuredvalue in the construction process, and compare with design value, To show that theoptimization results meet the needs of the construction control.