Research On Continuous Rigid Bridge Construction Control Technology Of Elevation Optimization

In recent years,with the rapid development of the traffic cause in China,it is necessary to build more large-span bridges across rivers and Strait.Bridge span become bigger and bigger, and the difficulty of construction is also growing.It is the important means of guarantee construction quality and safety which control bridge's construction process,and it is also the important measures for ensuring state bridge with the design requirements.The construction of long-span bridges is a complex process,due to the random impact of various factors(such as the elastic modulus of material,concrete shrinkage and creep coefficient,structural forces,construction loads,temperature,etc.) and measurement errors,it is very difficult for structural theory data is same with the actual value,so there will be deviations between the two.It is particularly noteworthy that some deviations(such as main beam elevation error,axis error,claim error,etc.) is the characteristics of accumulation.If the deviations are not timely adjusted,with the main beam length of the cantilever increasing,the main beam elevation will be significant departure from the design value,resulting in a Long Bridge into difficulties or influence the internal force and linear.Because elevation monitoring have many uncertain impact factors,it is particularly important which study the elevation optimization control of long-span bridges.In this paper,it is based on grey system theory,combining the three lines of continuous prestressed concrete rigid frame bridge construction,making use of GM(1,1) metabolic model which control the bottom of the beam legislation elevation on the construction process of upper structure of the bridge in the methods of optimization prediction,thus completing the whole process of the entire bridge elevation optimization control.The GM(1,1) metabolic model used in continuous rigid frame bridge elevation in the optimization control have the advantages of high accuracy, the control results show that the grey predictive control applied to large-span continuous prestressed concrete rigid frame bridge construction control,and will be extended to other type of bridge construction control.