ZHANG E, LIU Zhong-hua, SHAO Xiao-chun. Simulation of human vibration characteristics based on 9-DOF riding dynamics model[J]. Journal of Traffic and Transportation Engineering, 2010, 10(4): 58-64. doi: 10.19818/j.cnki.1671-1637.2010.04.010
Citation: ZHANG E, LIU Zhong-hua, SHAO Xiao-chun. Simulation of human vibration characteristics based on 9-DOF riding dynamics model[J]. Journal of Traffic and Transportation Engineering, 2010, 10(4): 58-64. doi: 10.19818/j.cnki.1671-1637.2010.04.010

Simulation of human vibration characteristics based on 9-DOF riding dynamics model

doi: 10.19818/j.cnki.1671-1637.2010.04.010
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  • Author Bio:

    ZHANG E (1948-), male, associate professor, +86-29-88751226, e.zhang@mail.xjtu.edu.cn

  • Received Date: 2010-03-12
  • Publish Date: 2010-08-25
  • To predict the human vibration response characteristics and riding comfort of human-vehicle system efficiently, a 9-DOF riding dynamics model of automobile was established according to human-vehicle-road interaction and multi-body dynamics principle.The dynamics equations of the model were derived by using Lagrange Principle.A time domain model of random road excitation was established according to random road excitation and the change of vehicle speed.A human-vehicle-road system simulation model was established by using MATLAB/Simulink, and the simulation and analysis of human vibration response in a light vehicle on different roads and at different speeds were carried out.Simulation result shows that the amplitude of human acceleration response significantly increases with the drop of road level at the same speed.On random road, the energy of human vibration caused by random road excition concentrates in low frequency, the first order resonance frequency appears around 5 Hz, and the second order resonance frequency occurs around 10 Hz, which is consistent with many experimental results.Therefore, the 9-DOF dynamics model and the simulation model are reliable to quickly compute the vibration characteristics of human and riding comfort under dynamic environment.

     

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