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Fatigue life estimation of MD36 and MD523 bogies based on damage accumulation and random fatigue theory

机译:基于损伤累积和随机疲劳理论的MD36和MD523转向架疲劳寿命估算

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摘要

Bogies are one of the multifunctional parts of trains which are extremely subjected to random loads. This type of oscillating and random excitation arises from irregularities of the track including rail surface vertical roughness, rail joints, variance in super-elevation, and also wheel imperfections like wheel flats and unbalancy. Since most of the prementioned sources have random nature, a random based theory should be applied for fatigue life estimation of the bogie frame. Two methods of fatigue life estimation are investigated in this paper. The first approach which is being implemented in time domain is based on the damage accumulation (DA) approach. Using Monte-Carlo simulation algorithm, the rail surface roughness is generated. Finite element (FE) model of the bogie is subjected to the generated random excitation in the first approach and the stress time histories are obtained, and consequently the fatigue life is estimated by using the rain-flow algorithm. In the second approach, the fatigue life is estimated in frequency domain. Power spectral density (PSD) of the stress is obtained by using the FE model of the bogie frame and the fatigue life is estimated using Rayleigh technique in random fatigue theory. A comprehensive parametric study is carried out and effects of different parameters like the train speeds and level of the rail surface vertical roughness on the estimated fatigue life are investigated.
机译:转向架是列车的多功能部分之一,极易受到随机载荷的影响。这种类型的振动和随机激励是由轨道的不平整引起的,这些不平整包括轨道表面的垂直粗糙度,轨道接头,超高的变化,以及车轮缺陷(例如轮毂平整度和不平衡度)。由于大多数上述来源具有随机性质,因此应将基于随机的理论应用于转向架框架的疲劳寿命估算。本文研究了两种疲劳寿命估算方法。在时域中实现的第一种方法是基于损坏累积(DA)方法。使用蒙特卡洛模拟算法,生成了轨道表面粗糙度。在第一种方法中,对转向架的有限元(FE)模型进行生成的随机激励,并获得了应力时间历史,因此使用雨流算法估算了疲劳寿命。在第二种方法中,疲劳寿命是在频域中估算的。通过使用转向架框架的有限元模型获得应力的功率谱密度(PSD),并使用随机疲劳理论中的瑞利技术估算疲劳寿命。进行了全面的参数研究,并研究了不同参数(如列车速度和轨道表面垂直粗糙度水平)对估计疲劳寿命的影响。

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