Research On Vehicle Random Vibration Fineanalysis Model Of C_80B Gondola

With the development of train on the direction of high speed and heavy load, the interaction between the vehicle and track increased and the structural vibration of the vehicle got worse. The serious problems of wear and noise in structure, not only affect the operation quality of vehicles, but also threaten the safety of operation. Moreover, the increasing speed of the vehicle also widens the random excitation frequency. As a result, the vertical and lateral acceleration of the vehicle became strong and the dynamic operation quality of the vehicle is affected. Therefore, understanding the vibration state of the vehicle in the design and improving smoothness of operation are vital issues in the research of rail vehicles nowadays.The solution of the random vibration problem is traditionally based on statistical theory. Due to the computation complexity, this method can only be applied to simple structure model with low degrees of freedom. In traditional dynamic analysis, the model that is widely accepted is the simple multi-body dynamics model or rigid-soft mixed dynamic model. But these two models are both unable to analyze random vibration of the local structures.In order to solve the above problems, combining the pseudo-excitation method with finite element method(FEM), this thesis built the elastic finite element model of C80 B gondola and conducted the random vibration analysis of vehicle system with the Efficient Algorithm of Random Vibration analysis to get response standard deviation and power spectrum of all nodes in the analysis model. Preliminary according to the acceleration standard deviation, research is conducted on integral random vibration of each component of C80 B gondola. In addition, we analyzed random vibration of the local structures and the key points on the basis of the acceleration power spectrum of nodes to determine weak parts of the vehicle system. Then weighted integral of acceleration power spectrum, we analyzed the stationarity of the model on the basis of the stability evaluation standard. Moreover, this thesis also evaluated the stationarity of C80 B gondola with SIMPACK, and made comparative analysis of these two models. From the result we could know, to the complex model with multi degree of freedom, it’s better to use the Efficient Algorithm of Random Vibration analysis to get random vibration response. The efficient algorithm can not only conduct the random vibration analysis of the whole vehicle more precisely and efficiently, but also analyze random vibration of the local structures and the key points to find out weak parts of the vehicle system.