Study On Strengthening Method Of Steel Crossbeam Of Hollow Slab Beam Bridge

In the building and building bridge in China,the hollow slab beam bridge occupies a large proportion.In recent years,the rapid growth of highway mileage,traffic increases,overload phenomenon emerge in an endless stream of hollow plate girder bridge,many service in no more than the service life will appear more and more problems,the disease is more and more complicated,the demolition and reconstruction is not economical and environmentally friendly,but also does not allow for increasing the traffic flow.The reinforcement and reconstruction of the old bridges have gradually been put on the agenda,and it is becoming more and more urgent.In view of the different diseases of different bridge types,a lot of reinforcement and transformation theories and methods are put forward,including enlarging section method,sticking steel plate method,sticking carbon fiber method and prestressing reinforcement method.This paper proposes to strengthen and reform simply supported hollow slab girder bridges by means of steel beam reinforcement combined with vertical prestress.By controlling the bearing capacity of hinge joints,the number of steel beam channels,the diameter of the vertical prestressed steel bar,and the thickness of the anchor plate,numerical simulations were performed using the large-scale universal finite element analysis software Midas/FEA in the finite element model.Transform the size of the selected parameters of each key factor.Under the premise of damage to the hinge,calculate the various parameters of the design to obtain the horizontal distribution coefficient,in order to evaluate the rationality of the selection of various parameters.Finally,a method to verify the model of steel beam reinforced hollow slab in Midas/Civil is proposed.By comparing with the Midas/FEA transverse distribution,the key parameters of the calculation model considering the vertical prestressed tendon and the anchorage plate are obtained.Checking the board provides a fast modeling method and its corresponding parameter selection.