Study On The Anti Wind Performance Of Bridge Construction Monitoring And T Structure Based On Optimization Neural Network

In recent years,long span continuous rigid frame bridge is widely used.Compared to other bridges,this bridge is traffic smooth,convenient construction and easy to repair.However,the construction process of the bridge is a complicated and changeable process,which is restricted by many factors,and the final construction state is often different from the design state.Therefore,To achieve the ultimate goal,it is very necessary to carry out effective construction monitoring.With the development of construction monitoring and control system,parameter prediction and control has become an indispensable element in the monitoring system,and plays an important role in the development of the system.Among the numerous parameter control methods,the neural network monitoring system has a great advantage in multi parameter processing,which makes it become the main means of the construction of the control system,and widely used.However,there are many problems in optimization of network structure,the existing research only stay in the data and experience of other projects,the lack of relatively perfect theory and optimization method.To this end,the optimization of neural network and how to guide the construction monitoring has become the focus of experts and scholars in recent years.In addition,the winter long shutdown state 3-4 months is long span continuous rigid frame bridge is often encountered in northern China.Construction difficult,bad weather,low temperature,strong wind and suspension of long cycle,greatly increase the difficulty of construction monitoring.And the long span high pier continuous rigid frame bridge is in the most disadvantageous double cantilever state in the north of our country,and its wind resistance problem is also an important security issues of common concern.As a breakthrough point,research construction monitoring and wind resistance performance,throgh the example of Laiyuan Baoding County of Hebei province,Yansuya bridge.The main contents are as follows:1)The monitoring theory of the cantilever beam bridge construction is introduced,and the software model is established to carry out the finite element analysis,to get the data of the monitoring,and to verify the accuracy of the finite element analysis.2)The optimization of the neural network method is used to complete the parameter control of construction monitoring,optimization of neural network is realized through the following two steps,using gray correlation analysis and principal component analysis to optimize the input layer;and using the golden ratio method to optimize the hidden layer,by the method of finding the optimal value in a plurality of hidden layer unit nodes.Finally,the optimized neural network is applied to the monitoring system,and the Yansuya,bridge construction monitoring process is completed.3)Combined with the winter construction background,Study on the buffeting time-domain yansuya,bridge and get the relevant conclusions and confirmed that the result is reliable and accurate.According to the analysis result,the wind resistant design of cable wind rope is put forward,and the study on wind resistant performance of bridge is finished.