Non-Gaussian Random Vibration Accelerated Test

2021 ◽  
pp. 139-167
Author(s):  
Yu Jiang ◽  
Junyong Tao ◽  
Xun Chen
2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Yu Jiang ◽  
Gun Jin Yun ◽  
Li Zhao ◽  
Junyong Tao

Novel accelerated random vibration fatigue test methodology and strategy are proposed, which can generate a design of the experimental test plan significantly reducing the test time and the sample size. Based on theoretical analysis and fatigue damage model, several groups of random vibration fatigue tests were designed and conducted with the aim of investigating effects of both Gaussian and non-Gaussian random excitation on the vibration fatigue. First, stress responses at a weak point of a notched specimen structure were measured under different base random excitations. According to the measured stress responses, the structural fatigue lives corresponding to the different vibrational excitations were predicted by using the WAFO simulation technique. Second, a couple of destructive vibration fatigue tests were carried out to validate the accuracy of the WAFO fatigue life prediction method. After applying the proposed experimental and numerical simulation methods, various factors that affect the vibration fatigue life of structures were systematically studied, including root mean squares of acceleration, power spectral density, power spectral bandwidth, and kurtosis. The feasibility of WAFO for non-Gaussian vibration fatigue life prediction and the use of non-Gaussian vibration excitation for accelerated fatigue testing were experimentally verified.


2020 ◽  
Vol 26 (17-18) ◽  
pp. 1463-1470 ◽  
Author(s):  
Ronghui Zheng ◽  
Huaihai Chen ◽  
Min Qin ◽  
Andrea Angeli ◽  
Dirk Vandepitte

This article investigates the influence of low damping ratios on the performance of the multi-exciter stationary non-Gaussian random vibration control system. The basic theory of the multi-exciter stationary non-Gaussian random vibration method is reviewed first, and then the influences of low damping ratios on multi-output spectra and kurtoses are analyzed. The low damping ratios cause an ill-conditioned problem which will make the drive spectral matrix solution inaccurate; thus, some spectral lines located at resonance peaks in the response spectra cannot be modified within the preset tolerances by the control algorithms. The regularization method is used to alleviate the calculation error. The output kurtoses are dependent not only on the characteristics of the system but also on the input signals. It is found that the kurtosis control will be intractable if the damping ratios are very low. A two-input two-output cantilever beam simulation example is described to illustrate the analysis results.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Fei Xu ◽  
Kjell Ahlin ◽  
Binyi Wang

The response spectra are widely used in the damage assessment of non-Gaussian random vibration environments and the derivation of damage equivalent accelerated test spectrum. The effectiveness of the latter is strongly affected by modal parameter uncertainties, multiple field data processing, and the nonsmooth shape of the derived power spectral density (PSD). Optimization of accelerated test spectrum derivation based on dynamic parameter selection and iterative update of spectrum envelope is presented in this paper. The extreme response spectrum (ERS) envelope of the field data is firstly taken as the limiting spectrum, and the corresponding relationship between damping coefficient, fatigue exponent, and damage equivalent PSD under different test times is constructed to achieve the dynamic selection of uncertain parameters in the response spectrum model. Then, an iterative update model based on the weighted sum of fatigue damage spectrum (FDS) error is presented to reduce the error introduced by the nonsmooth shape of the derived PSD. The case study shows that undertest can be effectively avoided by the dynamic selection of model parameters. The weighted error is reduced from 80.1% to 7.5% after 7 iterations. Particularly, the error is close to 0 within the peak and valley frequency band.


Author(s):  
Alexander Steinwolf

Abstract Polyharmonic oscillation with multiple frequencies is inherent in many applied problems. However, it rarely exists in the pure form and is often accompanied by a random vibration. Separation of the periodic signal from the actual record measured is usually restricted to determining the harmonic amplitudes only. The paper presents a method for complete identification of polyharmonic process including the phase angles that were unattainable when its period is unknown a priori. The approach is based on the fact that the presence of a periodic component transforms the instantaneous-value probability distribution of the combined signal to the non-Gaussian form. The solution obtained is compared with the results of time domain averaging.


2021 ◽  
pp. 23-61
Author(s):  
Yu Jiang ◽  
Junyong Tao ◽  
Xun Chen

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