Abstract

In the pioneer CAE stage, life assessment is the essential part to make the product meet the life requirement. Commonly, the lives of flexible structures are determined by vibration fatigue which accrues at or close to their natural frequencies. However, existing PSD vibration fatigue damage estimation methods have two prerequisites for use: the behavior of the mechanical system must be linear and the probability density function of the response stresses must follow a Gaussian distribution. Under operating conditions, non-Gaussian signals are often recorded as excitation (usually observed through kurtosis), which will result in non-Gaussian response stresses. A new correction is needed to make the PSD approach available for the non-Gaussian vibration to deal with the inevitable extreme value of high kurtosis. This work aims to solve the vibration fatigue estimation under the non-Gaussian vibration; the key is the probability density function of response stress. This work researches the importance of non-Gaussianity numerically and experimentally. The beam specimens with two notches were used in this research. All excitation stays in the frequency range that only affects the second natural frequency, although their kurtosis is different. The results show that the probability density function of response stress under different kurtoses can be obtained by kurtosis correction based on the PSD approach of the frequency domain.

Highlights

  • The random vibration load closed to the mechanical components’ natural frequencies will significantly affect their fatigue life

  • This means that sometimes the frequency-domain approach for fatigue estimation directly performed by stress power spectral density (PSD) cannot be applied

  • The dynamic behavior of double-notch specimens was studied in order to find how the kurtosis of the excitation affects the response stress

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Summary

Introduction

The random vibration load closed to the mechanical components’ natural frequencies will significantly affect their fatigue life. The typical loading is non-Gaussian, and this can cause the response to be non-Gaussian, which may lead to shorter fatigue life This means that sometimes the frequency-domain approach for fatigue estimation directly performed by stress PSD cannot be applied. The aim of this study is to experimentally research the improved PSD method in the frequency domain to infer the distribution of response stress under excitation with different kurtoses. The advantage of this method is that it can directly reflect the range of stress changes. It was verified that the method proposed in this study can solve the fatigue-damage estimation at different kurtosis levels with higher accuracy than previous methods

PSD Approach in the Frequency Domain
Z R2 exp
Non-Gaussian PSD Method in the Frequency Domain
Findings
Conclusions

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