基于Monte-Carlo拟合的二维随机载荷作用下汽车弹簧疲劳耐久性研究

doi:10.19562/j.chinasae.qcgc.2019.012.015

摘要/Abstract

摘要： 提出了一种采用二维随机载荷的当量载荷的概率密度函数进行数值积分的疲劳寿命计算方法。采集一款城市SUV在试验场强化路面的载荷谱数据,采用样本截除方法进行参数估计和分布检验,结果表明,在中高载荷段,采用该方法可很好地实现对所采载荷谱数据的拟合。同时运用蒙特卡罗法生成随机序列来拟合二维随机载荷的当量载荷的概率密度函数,采用载荷谱分级法和蒙特卡罗概率密度函数拟合法对所采集的悬架4个螺旋弹簧二维随机载荷进行外推并计算其累积损伤和疲劳寿命。对比分析结果表明,所采用的疲劳寿命计算方法是可行的,它能很好地解决分布情况较复杂的二维随机载荷的概率密度函数无法推导的问题。

关键词: 汽车弹簧, 疲劳, 二维随机载荷, 蒙特卡罗法

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

藤瑞品, 宋晓琳, 刘国云, 曾俊伟. 基于Monte-Carlo拟合的二维随机载荷作用下汽车弹簧疲劳耐久性研究[J]. 汽车工程, 2019, 41(12): 1450-1458.

Teng Ruipin, Song Xiaolin, Liu Guoyun, Zeng Junwei. Research on Fatigue Durability of Automotive Coil Spring Under 2D Random Loading Based on Monte-Carlo Fitting[J]. Automotive Engineering, 2019, 41(12): 1450-1458.

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