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Life Prediction Based on Transient Dynamics Analysis of van Semi-trailer with Air Suspension System

Chinese Journal of Mechanical Engineering 2011年第3期24卷 372-379页

作者： LI Liang SONG Jian HE Lin ZHANG Mengjun LI Hongzhi State Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing 100084 China

The early fatigue damage in the van-body of the semi-trailer is often caused by the unique mechanical characteristics and the dynamic impact of the *** traditional finite element method with static strength analysis cannot support the fatigue design of van-body;thus,the dynamics analysis should be adopted for the endurance *** accurate dynamics model to describe the transient impacts of all kinds of uneven road and the proper system transfer functions to calculate the load transfer effects from tire to van-body are two critical factors for transient dynamics *** order to evaluate the dynamic performance,the dynamics model of the trailer with the air suspension is brought *** the analysis method of the power spectral density （PSD） is set up to study the transient responses of the road dynamic *** transient responses transferred from axles to van-body are calculated,such as dynamic stress,dynamic RMS acceleration,and dynamic load *** on the above dynamic responses,the fatigue life of van-body is predicted with the finite element analysis （FEA） *** the test parameters of the trailer with air suspension,the simulation system with Matlab/Simulink is constructed to describe the dynamic responses of the impacts of the tested PSD of the vehicle axles,and then the fatigue life is predicted with FEA *** simulated results show that the vibration level of the van-body with air suspension is reduced and the fatigue life is *** real vehicle tests on different roads are carried out,and the test results validate the accuracy of the simulation *** proposed fatigue life prediction method is effective for the virtual design of auto-body.

关键词： van-body air suspension system transient dynamics power spectral density (PSD) life prediction

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