Study On Building Vibration Caused By Railway Traffic

With the rapid development of the rail transportation system in China, it has caused the inevitable environmental problems while providing convenience for people’s life. The vibration of the moving train will cause the vibration of the surrounding buildings, which brings a serious effect on people’s daily life and work.This paper mainly focuses on the vibration propagation of the building induced by moving train. The main contents are as follow:(1) According to the vibration response model of the railway system caused by the ground train operation, the subgrade reaction forces are calculated in the cases of the different train speeds, and also are the input of the building vibration.(2) Establish a soil-interface-building 3D finite element model with the viscous-elastic artificial boundary condition, and input the subgrade reactions as the model’s external loads. The influences of the parameters, such as the speed of the train, the soil parameters, the distance between the building and the center of the building, the overall rigidity of the building, on the building’s dynamic response are analyzed.(3) The results of the finite element are analyzed by using the statistical analysis method. Based on the calculation model, the vibration propagation of buildings is predicted. A prediction formula of the building vibration level is proposed, which is related to the train speed, the soil parameters, the building height, the distance between the building and the track center.(4) A 3D finite element model of the slab is established, and the forced vibration of the slab under the harmonic load is analyzed. The influences of the boundary conditions, the aspect ratio, the thickness and the material strength of the slab on the vibration response are presented under the loads for different frequency.(5) An in-site experiment on a six-story building alongside the Beijing-Guangzhou Railway was finished. The experiment results are compared with the results from the prediction model to verify the prediction model’s rationality.