Special mathematical transformation-based fatigue damage estimation under narrowband non-Gaussian random loadings

被引：8

作者：

Cui, Shengchao ^{[1
,2
]}

Li, Jinhua ^{[1
]}

Chen, Shuisheng ^{[1
]}

Guo, Zhongzhao ^{[1
]}

机构：

[1] East China Jiaotong Univ, Sch Civil Engn & Architecture, Nanchang 330013, Peoples R China

[2] Xinyu Univ, Sch Architectural Engn, Xinyu 338004, Peoples R China

来源：

PROBABILISTIC ENGINEERING MECHANICS | 2023年 / 74卷

基金：

中国国家自然科学基金;

关键词：

Non-Gaussian process; Fatigue damage estimation; Frequency-domain; Hermite polynomials model; Special mathematical transformation model; FREQUENCY; MODELS; LIFE;

D O I：

10.1016/j.probengmech.2023.103536

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The frequency-domain method for estimating fatigue damage is important and efficient for engineering applications. However, when dealing with non-Gaussian loadings, the widely used method based on Hermite polynomials model (HPM) has some limitations. To overcome this problem, this paper proposes a new frequencydomain method based on a special mathematical transformation model which was proposed by Johnson (JTM) for narrowband non-Gaussian cases. Numerical simulations are used to validate the new method. Considering different types of spectra and different combinations of kurtosis and skewness, Gaussian and nonGaussian stress time series are generated for fatigue analysis. The fatigue damage estimates from the timedomain method based on rainflow counting and the frequency-domain methods based on HPM and JTM are compared. The results demonstrate that frequency-domain fatigue damage estimation is effective, but has some errors, which are discussed in this paper. The main finding is that JTM performs as well as HPM when nonGaussianity is not strong. Therefore, JTM can be used as an alternative to HPM for estimating fatigue damage in the frequency domain under narrowband non-Gaussian conditions.

引用

页数：11

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