Volume 21 Issue 6
Dec.  2021
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XIAO Qian, CHENG Yu-qi, LUO Jia-wen, ZHOU Sheng-tong, ZHOU Qian-zhe, CAO Tao-ying. Sensitivity analysis of high-speed train wheel vibration influenced by vehicle-track coupling[J]. Journal of Traffic and Transportation Engineering, 2021, 21(6): 160-169. doi: 10.19818/j.cnki.1671-1637.2021.06.012
Citation: XIAO Qian, CHENG Yu-qi, LUO Jia-wen, ZHOU Sheng-tong, ZHOU Qian-zhe, CAO Tao-ying. Sensitivity analysis of high-speed train wheel vibration influenced by vehicle-track coupling[J]. Journal of Traffic and Transportation Engineering, 2021, 21(6): 160-169. doi: 10.19818/j.cnki.1671-1637.2021.06.012
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Sensitivity analysis of high-speed train wheel vibration influenced by vehicle-track coupling

doi: 10.19818/j.cnki.1671-1637.2021.06.012

  • Key Laboratory of Conveyance and Equipment of Ministry of Education, East China Jiaotong University, Nanchang 330013, Jiangxi, China

Funds:

National Natural Science Foundation of China 51975210

Open Poject of State Key Laboratory of Heavy Duty AC Drive Electric Locomotives System Integration 13221430000480

More Information
  • Author Bio:

    XIAO Qian(1977-), male, professor, PhD, jxraiph@foxmail.com

  • Corresponding author: CHENG Yu-qi(1995-), female, graduate student, 745357588@qq.com
  • Received Date: 2021-07-21
  • Publish Date: 2021-12-25
    Abstract
  • A random simulation model for one trailer of the CRH2 EMU was established based on the multi-body dynamics software UM under considering the randomness of the primary and secondary suspension parameters of the vehicle and track parameters. The optimal Latin hypercube experimental design method was used to extract the random samples of the parameters, the multi-objective optimization software iSight was used to select the random samples, and the UM was used to analyze the samples. Under the limitation of limited experimental design samples and simulation data, a polynomial chaos expansion surrogate model was built by combining the minimum angle regression, low-order interactive truncation and leave-one-out cross-validation to achieve the polynomial chaos expansion in order to reach the best approximate accuracy. The Sobol method was used to analyze the global sensitivity of polynomial chaos expansion surrogate model to study the influence of the random coupling action of vehicle and track parameters on the wheel vibration characteristics under the straight line and curve working conditions. The key factors were studied and the coupling action of multi-parameters was considered. The results show that the polynomial chaos expansion method can fit an accurate surrogate model based on the existing samples and calculate the Sobol sensitivity coefficient with an average error (less than 3%) so as to analyze the effect of the coupling of various parameterss on the wheel vibration efficiently and quantitatively. The vehicle parameters, such as the lateral stiffness of the boom node, the vertical stiffness of the primary spring, the lateral stiffness of the primary spring and the damping of the secondary transverse shock absorber, have an obvious contribution to the variance of the wheel vibration response. The track parameters, such as the lateral and vertical stiffnesses of the track, have a large contribution to the variance of the wheel vibration response. There are obvious interaction effects between the various parameters. 2 tabs, 16 figs, 31 refs.

     

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