Kurtosis Control of Amplitude-Modulated non-Gaussian Signals for Fatigue Test

Authors

  • Fei Xu Yancheng Institute of Technology, China
  • Huixian Yang Yancheng Institute of Technology, China
  • Kjell Ahlin Xielalin Consulting, Sweden
  • Zhifeng Chen Yancheng Institute of Technology, China

DOI:

https://doi.org/10.5545/sv-jme.2023.908

Keywords:

non-Gaussian, amplitude modulation method, fatigue damage spectrum, kurtosis

Abstract

The amplitude modulation method was used to generate non-Gaussian signals that acted as excitation for fatigue tests. The fatigue life of structures under non-Gaussian excitation has been proven to be closely related to the features of the amplitude modulation signal (AMS) and kurtosis of the structural response. In this study, the modelling of the AMS by Beta and Weibull distributions and the resulting kurtosis range problem is first reviewed. To solve this problem, a new method for creating an AMS based on a linear combination of Beta and Weibull distributions is proposed. To ensure that the high kurtosis of the amplitude-modulated non-Gaussian signal is correctly transferred to the structural response, the method is further developed to fulfil the specifications for the fatigue damage spectrum (FDS) by controlling the spectral content of the AMS. Herein, a Gaussian AMS with a low-pass cutoff frequency is first generated and then converted to a Weibull or Beta AMS based on the cumulative distribution function (CDF) transformation. The proposed method is verified using simulated and field-measured data. The results show that the full range of specified kurtosis is achieved with the new AMS modelling method. The high kurtosis of the non-Gaussian input signal can be transferred to the linear system response if the mean value of AMS during the period of the system impulse response is the same as AMS.

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Published

2024-10-04

How to Cite

Xu, F., Yang, H., Ahlin, K., & Chen, Z. (2024). Kurtosis Control of Amplitude-Modulated non-Gaussian Signals for Fatigue Test. Strojniški Vestnik - Journal of Mechanical Engineering, 70(9-10), 440–451. https://doi.org/10.5545/sv-jme.2023.908