| Various uncertain factors have an important influence on the construction of cable-stayed bridges.It is difficult to draw up the cable tension plan in the construction process by considering all kinds of control criteria and achieving the design goal smoothly.In order to solve these problems effectively,a multi criteria decision method is adopted to optimize the construction scheme.The optimization of cable-stayed bridge tensioning scheme based on reliability is an important part of this decision.The basic method of reliability analysis is introduced,and a complete set of structural optimization method based on reliability is established according to the theory of structural optimization based on reliability proposed both at home and abroad.Based on a frame model of reliability analysis,the advantages and disadvantages of two kinds of surface fitting method and polynomial response surface method BP neural network response were compared and identified using BP neural network response surface fitting.The reliability optimization design of the structure is carried out by using the method proposed in this paper,and the feasibility of the method described in this paper is proved.The method presented in this paper is applied to a double tower cable-stayed bridge with horizontal cables.In the construction process of the bridge cable all completed the initial tensioning and has removed the temporary pier to pier under the condition of bearing force of optimization design.Firstly,through the sensitivity analysis of the uncertain factors,the random variables and design variables which affect the structural reliability are selected.Then,the structural optimization method based on reliability is used to optimize the design variables after screening.Based on the analysis results,the design variables are selected to optimize the tensioning scheme based on the reliability,so that the probability of the void of the pier abutment is reduced to an acceptable range. |
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