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Automotive Engineering ›› 2019, Vol. 41 ›› Issue (12): 1450-1458.doi: 10.19562/j.chinasae.qcgc.2019.012.015

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Research on Fatigue Durability of Automotive Coil Spring Under 2D Random Loading Based on Monte-Carlo Fitting

Teng Ruipin1, Song Xiaolin1, Liu Guoyun2, Zeng Junwei2   

  1. 1.Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Changsha 410082;
    2.Hunan Leopaard Motors Co., Ltd., Changsha 410100
  • Published:2019-12-25

Abstract: A fatigue life calculation method by numerical integration on the probability density function of equivalent load of 2D random load is proposed. The load spectra data of a city SUV on the reinforced pavement in proving ground are collected, and the sample interception method is adopted to conduct parameter estimation and distribution check. The results show that the method can achieve a good fitting of acquired load spectra data in middle and high load section. Meanwhile Monte-Carlo method is applied to generate random series for fitting the probability density function of equivalent load of 2D random load. Finally load spectra grading method and Monte-Carlo probability density function fitting method are used to extrapolate the acquired 2D random loads of four coil springs in suspension, and to calculate their accumulated damage and fatigue life. The results of comparative analysis show that the fatigue life calculation method adopted is feasible, which can well resolve the problem of inability in deriving the probability density function of 2D random load with rather complicated distribution.

Key words: automotive coil spring, fatigue, 2D random load, Monte-Carlo method