Volume 21 Issue 6
Dec.  2021
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WANG Qiu-shi, ZHOU Jin-song, GONG Dao, WANG Teng-fei, ZHANG Zhan-fei, SUN Yu, CHEN jiang-xue, YOU Tai-wen. Fatigue life evaluation of bogie frame based on kernel density extrapolation for stress spectrum[J]. Journal of Traffic and Transportation Engineering, 2021, 21(6): 278-288. doi: 10.19818/j.cnki.1671-1637.2021.06.022
Citation: WANG Qiu-shi, ZHOU Jin-song, GONG Dao, WANG Teng-fei, ZHANG Zhan-fei, SUN Yu, CHEN jiang-xue, YOU Tai-wen. Fatigue life evaluation of bogie frame based on kernel density extrapolation for stress spectrum[J]. Journal of Traffic and Transportation Engineering, 2021, 21(6): 278-288. doi: 10.19818/j.cnki.1671-1637.2021.06.022
shu

Fatigue life evaluation of bogie frame based on kernel density extrapolation for stress spectrum

doi: 10.19818/j.cnki.1671-1637.2021.06.022
  • 1.

    Institute of Rail Transit, Tongji University, Shanghai 201804, China

  • 2.

    School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore

Funds:

National Natural Science Foundation of China 51805373

China Scholarship Project 202106260138

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    Abstract
  • A fatigue life evaluation method based on the multi-sample kernel density stress spectrum extrapolation was proposed. The determination of optimal bandwidth and kernel function in the kernel density estimation was studied. The grey correlation analysis method was proposed to quantitatively evaluate and verify the extrapolation optimization of stress spectrum. The relationship between the relative error of fatigue life evaluation and the extrapolation multiple was discussed. To verify the correctness and feasibility of the method, taking a measurement point near the weld of the positioning mounting seat of a bogie frame at the research object, three sets of dynamic stress test data were selected to conduct the multi-sample knernel density stress spectrum extrapolation and fatigue evaluation when the wheel was in the initial, middle, and final stages, respectively. Research results show that the probability density function based on the minimum asymptotic integral mean square error has a goodness of fit. Among the four types of studied kernel functions, the correlation based on the Epanechekov kernel function is the best, and the correlation coefficient is 0.99 and 0.01%-0.12% higher than the coefficients of the other three kernel functions. The consistency based on the Circular kernel function is the best, and the grey correlation degree is 0.592 0 and 0.17%-0.32% higher than the degrees of the other three kernel functions. The assessment fatigue life based on 10-time multi-sample kernel density stress spectrum extrapolation reduces by 1.15% compared with that based on the linear extrapolation. When the stress spectrum is extrapolated to the whole life cycle, the safe operation mileage evaluated based on the kernel density extrapolation reduces by 6.45%. Therefore, the fatigue life evaluation based on the extrapolation of kernel density stress spectrum is safer, and can ensure the safe service of the vehicle structure. 4 tabs, 12 figs, 31 refs.

     

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    • References(31)
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