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TANG Zhao, NIE Yin-yu, WU Ping-bo. Whole-field stress prediction and real-time monitoring of vehicle bogie[J]. Journal of Traffic and Transportation Engineering, 2016, 16(3): 63-71. doi: 10.19818/j.cnki.1671-1637.2016.03.008
Citation: TANG Zhao, NIE Yin-yu, WU Ping-bo. Whole-field stress prediction and real-time monitoring of vehicle bogie[J]. Journal of Traffic and Transportation Engineering, 2016, 16(3): 63-71. doi: 10.19818/j.cnki.1671-1637.2016.03.008
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Whole-field stress prediction and real-time monitoring of vehicle bogie

doi: 10.19818/j.cnki.1671-1637.2016.03.008

  • State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

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  • Author Bio:

    TANG Zhao(1979-), male, lecturer, PhD, +86-28-87634042, tangzhao@swjtu.edu.cn

  • Received Date: 2015-11-12
  • Publish Date: 2016-06-25
    Abstract
  • In order to improve the reliability and accuracy of fatigue strength evaluation and fatigue life prediction, on the basis of the stresses at the predictable positions on the structure, a whole-field stress prediction method was proposed to predict the stresses at the arbitrary positions, a meshless computation-based radial basis function interpolation theory was introduced, a novel selection rule of interpolation domain was built, and the traditional multiquadric (M-Q) radial basis function was refined.In order to verify the interpolation performance of modified M-Q radial basis function, under the condition of exerting 58 kN lateral force, 55 kN longitudinal force and 85 kN vertical force loading on the frame of vehicle bogie, 8 stress unmeasurable positions on the frame were selected, and the interpolation accuracies were compared between the modified M-Q radial basis function and the thin plate spline (TPS) radial basis function.Analysis result shows that the maximal and average relative errors of stress by using the modified M-Q radial basis function are 0.090 6% and 0.028 5% respectively, while the values by using the TPS radial basis function are 1.611 3% and 0.604 2% respectively, so the calculation accuracy of modified M-Q radial basis function is much more better than the value ofTPS radial basis function in predicting the stresses at the unmeasurable positions on the frame of vehicle bogie.Combining with the interpolation algorithm based on the modified M-Q radial basis function, a fatigue strength monitoring system named TPL monitoring for vehicle bogie is developed, and has better interactivity, real-time property and scalability.

     

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