Random fatigue life prediction of carbon fibre-reinforced composite laminate based on hybrid time-frequency domain method

2016 ◽  
Vol 26 (2) ◽  
pp. 181-195 ◽  
Author(s):  
Song Zhou ◽  
Yi Sun ◽  
Licheng Guo
Keyword(s):  
Fatigue Life ◽  
Carbon Fibre ◽  
Frequency Domain ◽  
Composite Laminate ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Frequency Domain Method ◽  
Time Frequency ◽  
Reinforced Composite ◽  
Random Fatigue

scholarly journals Durability Analysis for Coil Spring Suspension Based on Strain Signal Characterisation

2018 ◽  
Vol 7 (3.17) ◽  
pp. 104
Author(s):  
Chin Chuin Hao ◽  
Shahrum Abdullah ◽  
Ahmad Kamal Ariffin ◽  
Salvinder Singh Karam Singh
Keyword(s):  
Fourier Transform ◽  
Fatigue Life ◽  
Frequency Domain ◽  
Time Domain ◽  
Life Prediction ◽  
Energy Content ◽  
Fatigue Life Prediction ◽  
Coil Spring ◽  
Time Frequency ◽  
Strain Signal

This paper aims to predict the durability of an automobile coil spring by characterising the captured strain data. The load histories collected at coil spring are often presented in time domain but time domain cannot provide sufficient information for fatigue life prediction. The objective of this study was to characterise the strain signal in time domain, frequency domain and time-frequency domain for fatigue life prediction. The signal obtained in time domain was used to predict the fatigue life of the coil spring through Rainflow cycle counting technique and models of strain-life relationships. In frequency domain, fast Fourier transform revealed that the frequency components in the strain signal ranged between 0-5 Hz. The frequencies can be further categorised into two ranges: 0-0.3 Hz and 1-2 Hz. Power spectral density confirmed that the frequencies with high energy content were 0-5 Hz and the total energy content in the signal is 4.0872x103 µɛ2. Short time Fourier transform can identify the local time and frequency properties of the signal but it has a limitation in time-frequency resolutions. Wavelet transform can provide a better time-frequency resolutions and it confirmed that the transients in the time domain had frequency range of 1-2 Hz. In summary, this study revealed different possible approaches of signal processing in fatigue life assessment of automotive components as guidance for the selection of suitable approach based on the type of information needed for the analysis.  

scholarly journals Research on the Scope of Spectral Width Parameter of Frequency Domain Methods in Random Fatigue

2020 ◽  
Vol 10 (14) ◽  
pp. 4715
Author(s):  
Jie Xu ◽  
Yaolei Zhang ◽  
Qinghua Han ◽  
Jia Li ◽  
Giuseppe Lacidogna
Keyword(s):  
Fatigue Life ◽  
Frequency Domain ◽  
Life Prediction ◽  
Prediction Models ◽  
Spectral Width ◽  
Frequency Domain Method ◽  
Current Frequency ◽  
Frequency Domain Methods ◽  
Vibration Simulation ◽  
Random Fatigue

In the current fatigue life calculation theory, the most commonly used method is the frequency domain method. However, most of the frequency domain fatigue life prediction models do not indicate the scope of the application of the spectral width parameter. Different frequency domain methods have strict applicability to the spectral width parameter, and improper model selection will lead significant error. Therefore, it is particularly important to determine the scope of application of the spectral width parameter for different frequency-domain methods. This paper firstly introduces the current frequency domain methods, then simulates the analogue spectrum and selects three materials for comparison in the different frequency-domain methods. By analyzing and comparing the results of random fatigue life and relative error results, the application of different frequency-domain methods is obtained, and random vibration simulation verification is carried out with the practical engineering example, which can provide a reference for the selection of life prediction models.

scholarly journals Fatigue life prediction of z-fibre pinned composite laminate under mode I loading

2019 ◽  
Vol 174 ◽  
pp. 221-231 ◽  
Author(s):  
Suchao Tang ◽  
Stuart Lemanski ◽  
Xiang Zhang ◽  
David Ayre
Keyword(s):  
Fatigue Life ◽  
Composite Laminate ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Mode I ◽  
Mode I Loading

Fatigue Life Prediction of a Railway Bogie Frame

2008 ◽  
Vol 44-46 ◽  
pp. 523-528
Author(s):  
Rui Deng ◽  
W.M. Zhai ◽  
Shou Ne Xiao
Keyword(s):  
Fatigue Life ◽  
Life Prediction ◽  
Time Integration ◽  
Prediction Method ◽  
Fatigue Life Prediction ◽  
Mode Shapes ◽  
Fast Fourier Transformation ◽  
Frequency Domain Method ◽  
Bogie Frame ◽  
Analysis Technique

A fatigue life prediction method was introduced. The method was based on the combination of time domain and frequency domain method. Dynamic model of a complete railway locomotive system was established using SIMPACK software. The dynamic load histories acting on the bogie frame can be obtained by the Multi-Body System (MBS) analysis technique with time integration. FEM model of the bogie frame was established by applying ANSYS software. The natural frequencies and mode shapes of the frame were calculated and the dangerous nodes in the critical location were determined using the modal analysis technique. The stresses in dangerous nodes were calculated with the quasi-static stress/strain technology. PSD of the stresses was generated using the Fast Fourier Transformation (FFT). Fatigue life of the bogie frame was evaluated with the Dirlik’s formulation. Results showed that the calculated life of the analyzed bogie frame could meet the design requirement.

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