| The guss asphalt is widely used in steel bridge deck overlay in China.It has the advantages of high workability,good waterproof,high adhesion and high compliance.However,many bridges have appeared diseases represented by rutting after the opening and the research on rutting mainly focuses on common road asphalt pavement,therefore,it is of great practical significance to study the prediction of permanent deformation of the deck overlay.Firstly,this paper started from the mechanism of permanent deformation of steel bridge deck overlay,and determined the influencing factors of subsequent research.On the basis of previous research on the constitutive model of asphalt mixture,the viscoelastic-plastic constitutive model suitable is obtained,and the numerical implementation is realized by using FE software ABAQUS.Through the test of asphalt mixture,the parameters of constitutive model are determined and verified.Secondly,based on Nanjing Qixiashan Yangtze River Bridge,the traffic situation is analyzed.According to the axle load conversion based on rut equivalent,the corresponding number of equivalent axle load action is obtained.The FE model of steel deck overlay is established,and the mechanical response under traffic load is analyzed,and the simplified form of load action should be found out according to the vertical plastic influence of the pavement.According to the actual meteorological data,the temperature field data of the FE model should be simulated and verified.Then,after obtaining the data of load action and temperature field,the permanent deformation of pavement is calculated and compared with the actual measurement data to verify its effectiveness;the future traffic volume of the bridge is predicted through the traffic prediction theory,and the future permanent deformation is also calculated.Finally,the factors affecting the permanent deformation are summarized and the daily permanent deformation corresponding to different combination values is calculated.Then obtained the prediction formula of daily permanent deformation through regression analysis and proposed the corresponding rutting prevention suggestions. |